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	<updated>2026-10-19T19:14:59Z</updated>
	<subtitle>User contributions</subtitle>
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	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Wage_Rigidity&amp;diff=228</id>
		<title>Wage Rigidity</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Wage_Rigidity&amp;diff=228"/>
		<updated>2026-10-06T04:46:05Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Wage Rigidity&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Wage rigidity&#039;&#039;&#039; is the failure of wages to adjust to changes in labour market conditions, so that they remain above or below the level that would clear the market. Wage rigidity is a central feature of modern labour markets and a key explanation for involuntary unemployment, since if wages cannot fall when demand declines, the adjustment must occur through quantities, namely employment, rather than through prices.&lt;br /&gt;
&lt;br /&gt;
== Forms and causes ==&lt;br /&gt;
&lt;br /&gt;
Wage rigidity takes several forms. &#039;&#039;&#039;Nominal wage rigidity&#039;&#039;&#039; means that wages are slow to change in nominal terms, often because contracts fix them for a period. &#039;&#039;&#039;Real wage rigidity&#039;&#039;&#039; means that wages are slow to adjust to changes in prices or productivity. Rigidity may be downward, preventing wage cuts, or general, slowing adjustment in both directions.&lt;br /&gt;
&lt;br /&gt;
Causes of wage rigidity include several factors. &#039;&#039;&#039;Long-term contracts&#039;&#039;&#039; and collective bargaining agreements fix wages for specified periods. &#039;&#039;&#039;Efficiency wage&#039;&#039;&#039; considerations lead firms to pay above market-clearing wages to attract and retain workers, reduce turnover, and motivate effort. &#039;&#039;&#039;Insider-outsider&#039;&#039;&#039; dynamics give incumbent workers the power to resist wage cuts that would benefit unemployed outsiders. &#039;&#039;&#039;Minimum wage laws&#039;&#039;&#039; and social norms set floors. &#039;&#039;&#039;Menu costs&#039;&#039;&#039; and &#039;&#039;&#039;coordination problems&#039;&#039;&#039; make it costly or difficult for firms to adjust wages frequently.&lt;br /&gt;
&lt;br /&gt;
== Efficiency wage theories ==&lt;br /&gt;
&lt;br /&gt;
Efficiency wage theories explain why firms may voluntarily pay more than the market-clearing wage. Higher wages can reduce turnover, since workers are less likely to leave, lowering recruitment and training costs. They can attract more able applicants, improving the quality of the workforce through selection. They can increase effort by making jobs more valuable and by raising the cost of losing them. They can improve morale and reduce shirking, since workers have more to lose.&lt;br /&gt;
&lt;br /&gt;
If all firms pay efficiency wages, the aggregate wage exceeds the market-clearing level, and unemployment results. This provides a micro-founded explanation for involuntary unemployment that does not rely on government intervention or union power, and it helps to explain why unemployment persists even in flexible labour markets.&lt;br /&gt;
&lt;br /&gt;
== Macroeconomic implications ==&lt;br /&gt;
&lt;br /&gt;
Wage rigidity is a central element of Keynesian and New Keynesian macroeconomics. It implies that nominal shocks, such as a decline in aggregate demand or a tightening of monetary policy, have real effects, because wages cannot adjust to restore equilibrium. This provides a rationale for stabilisation policy, since monetary and fiscal measures can offset demand shortfalls and prevent rises in unemployment.&lt;br /&gt;
&lt;br /&gt;
The degree of wage rigidity affects the slope of the Phillips curve and the output cost of disinflation. If wages are very rigid, reducing inflation requires a larger increase in unemployment. Understanding the sources and extent of rigidity is therefore important for calibrating policy and for forecasting the effects of shocks.&lt;br /&gt;
&lt;br /&gt;
== Policy and reform ==&lt;br /&gt;
&lt;br /&gt;
Policies that affect wage rigidity include labour market regulation, minimum wages, collective bargaining arrangements, and social protection. Some degree of rigidity may be desirable, providing insurance for workers and stability for firms, but excessive rigidity can raise unemployment and slow adjustment. Reforms that increase wage flexibility, such as decentralising bargaining or linking pay more closely to productivity, are sometimes recommended, though their effects depend on the specific institutional context.&lt;br /&gt;
&lt;br /&gt;
The design of unemployment insurance and active labour market policies also affects wage adjustment, by influencing the incentives to search and to accept job offers. Balancing insurance against incentives is a central challenge of labour market policy, and the appropriate balance depends on the preferences of society and on the structure of the economy. Understanding wage rigidity is essential for analysing labour market outcomes and for designing policies that support both efficiency and equity.&lt;br /&gt;
&lt;br /&gt;
== Wage rigidity and the business cycle ==&lt;br /&gt;
&lt;br /&gt;
Wage rigidity amplifies business cycles. When demand declines, firms cannot easily cut wages, so they reduce employment instead, causing output to fall further and unemployment to rise. In recoveries, wages may lag, allowing firms to rebuild margins before hiring, which slows the decline in unemployment. These dynamics help to explain the persistence of unemployment and the lag between output recovery and employment recovery.&lt;br /&gt;
&lt;br /&gt;
The degree of wage rigidity varies over the cycle and across countries. In economies with centralised bargaining and strong unions, wages may be rigid across the economy, while in decentralised systems, they adjust more at the firm level. The design of institutions affects the transmission of shocks and the costs of adjustment, and it shapes the trade-off between unemployment and inflation.&lt;br /&gt;
&lt;br /&gt;
== Wage rigidity and inflation ==&lt;br /&gt;
&lt;br /&gt;
Wage rigidity affects inflation dynamics. If wages are slow to adjust, a decline in demand raises unemployment rather than lowering wages and prices, slowing the disinflation process. Conversely, if wages are flexible, a demand expansion may raise wages and prices quickly. The slope of the Phillips curve, which relates inflation to unemployment, depends on the degree of wage and price rigidity.&lt;br /&gt;
&lt;br /&gt;
The interaction between wage rigidity and inflation expectations is important. If workers expect inflation and demand compensation, wage pressures can become self-reinforcing. If expectations are anchored and wage setting is moderate, inflation can remain stable even as the labour market tightens. Understanding these interactions is essential for monetary policy, since the trade-off between inflation and unemployment depends on the structure of wage setting.&lt;br /&gt;
&lt;br /&gt;
== Reforms and institutions ==&lt;br /&gt;
&lt;br /&gt;
Reforms that affect wage rigidity include changes to collective bargaining, minimum wage rules, and employment protection. Their effects depend on the specific institutional context and on the broader policy mix. Some reforms have been associated with improved employment outcomes, while others have increased inequality and insecurity without clear employment gains. The evidence suggests that the design of institutions matters more than their presence or absence, and that reforms should be evaluated on their overall effects rather than on a single dimension.&lt;br /&gt;
&lt;br /&gt;
Social dialogue, involving governments, employers, and workers, can help to design institutions that balance flexibility with protection and that support both employment and productivity. Institutions that encourage wage growth in line with productivity, while allowing adjustment to shocks, tend to deliver better outcomes than either rigid or fully flexible arrangements.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Unemployment Rate]]&lt;br /&gt;
* [[Efficiency Wage]]&lt;br /&gt;
* [[Labour Market]]&lt;br /&gt;
* [[Phillips Curve]]&lt;br /&gt;
* [[Sticky Wages]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Labour economics texts on wage determination.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;OECD &#039;&#039;Employment Outlook&#039;&#039; analyses of wage setting.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;International Monetary Fund research on wage rigidity.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Journal literature on efficiency wages and unemployment.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Veblen_Good&amp;diff=227</id>
		<title>Veblen Good</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Veblen_Good&amp;diff=227"/>
		<updated>2026-10-06T04:46:04Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Veblen Good&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;A &#039;&#039;&#039;Veblen good&#039;&#039;&#039; is a good for which demand increases as its price rises, because the high price itself confers status or signals wealth. Named after the economist Thorstein Veblen, who described conspicuous consumption in his work on the leisure class, Veblen goods violate the law of demand, but for a different reason than Giffen goods: the demand response arises from the signalling value of price rather than from the income effect of a price change.&lt;br /&gt;
&lt;br /&gt;
== Conspicuous consumption ==&lt;br /&gt;
&lt;br /&gt;
Veblen&#039;s analysis of conspicuous consumption described how individuals signal social status through the display of expensive goods and leisure. In this framework, the utility of a good depends not only on its intrinsic characteristics but also on the message it conveys about the consumer&#039;s wealth, taste, or position. A higher price can enhance this message, making the good more desirable rather than less.&lt;br /&gt;
&lt;br /&gt;
Conspicuous consumption is a form of positional competition, in which individuals&#039; well-being depends on their relative standing. Such competition can lead to wasteful expenditure, since the benefits are relative and the spending of one person imposes a negative externality on others by raising the standard against which status is judged. This insight has implications for taxation and for the analysis of welfare.&lt;br /&gt;
&lt;br /&gt;
== Demand and price ==&lt;br /&gt;
&lt;br /&gt;
For a Veblen good, the demand curve can slope upward over some range, because the status signal strengthens as the price rises. This is not a universal property of luxury goods; many luxury goods have conventional downward-sloping demand, with higher prices reducing quantity demanded. Veblen goods are those for which the status effect dominates the substitution and income effects, so that the net effect of a price increase is higher demand.&lt;br /&gt;
&lt;br /&gt;
The Veblen effect is related to, but distinct from, the snob effect and the bandwagon effect. The snob effect describes the desire to be different from others, which can reduce demand as a good becomes popular. The bandwagon effect describes the desire to conform, which increases demand as others buy. Together with the Veblen effect, these effects illustrate how social influences shape demand in ways that standard consumer theory does not capture.&lt;br /&gt;
&lt;br /&gt;
== Examples ==&lt;br /&gt;
&lt;br /&gt;
Examples of Veblen goods include luxury watches, designer handbags, high-end cars, and premium spirits, where price is part of the appeal and where exclusivity is central to the value proposition. In some cases, brands deliberately limit supply and raise prices to reinforce their status. Art and collectibles can also exhibit Veblen characteristics, with prices reflecting scarcity, prestige, and the identity of the owner.&lt;br /&gt;
&lt;br /&gt;
The Veblen effect can appear in markets for services as well, including luxury travel, exclusive clubs, and premium education. In each case, the high price signals that the consumer belongs to a select group, and lowering the price would reduce the good&#039;s appeal for the target audience.&lt;br /&gt;
&lt;br /&gt;
== Implications ==&lt;br /&gt;
&lt;br /&gt;
Veblen goods have implications for pricing, marketing, and taxation. Firms may price high to signal quality and exclusivity, accepting lower volumes in exchange for higher margins and stronger brand positioning. Marketing reinforces the status association through advertising, celebrity endorsement, and selective distribution.&lt;br /&gt;
&lt;br /&gt;
For policy, the Veblen effect complicates the analysis of taxes on luxury goods. A tax that raises the price may not reduce demand much, or may even increase it if the tax reinforces the status signal, and the revenue and behavioural effects are therefore harder to predict. Understanding the Veblen effect is important for designing tax and regulatory policies for luxury and positional goods, and for analysing the welfare consequences of conspicuous consumption.&lt;br /&gt;
&lt;br /&gt;
== Status, signalling and identity ==&lt;br /&gt;
&lt;br /&gt;
Veblen goods are a subset of goods whose value depends on their social meaning. Signalling theory explains that individuals use consumption to convey information about themselves, including their wealth, taste, and identity. When the signal is credible only if costly, higher prices can enhance the signal&#039;s value, making the good more attractive precisely because it is expensive.&lt;br /&gt;
&lt;br /&gt;
Consumption choices also express identity and group membership. Brands can signal affiliation with a group or a lifestyle, and exclusivity reinforces the sense of belonging. These social dimensions mean that demand for such goods is influenced by the behaviour of others, by advertising, and by cultural norms, complicating the application of standard demand analysis.&lt;br /&gt;
&lt;br /&gt;
== Veblen goods and inequality ==&lt;br /&gt;
&lt;br /&gt;
Conspicuous consumption is closely related to inequality. When inequality is high, the visibility of wealth increases, and status competition can intensify, leading to higher spending on positional goods. This can divert resources from other uses, increase financial pressure on households trying to keep up, and reinforce social stratification.&lt;br /&gt;
&lt;br /&gt;
The welfare implications are complex. Conspicuous consumption may generate negative externalities by raising the standards against which status is judged, making everyone worse off in relative terms even as some individuals benefit. Some economists have proposed progressive consumption taxes to discourage positional competition and raise revenue, though the design and effects of such taxes are debated.&lt;br /&gt;
&lt;br /&gt;
== Marketing and pricing ==&lt;br /&gt;
&lt;br /&gt;
Firms marketing Veblen goods use strategies that reinforce exclusivity and status. Limited editions, high prices, selective distribution, and association with aspirational figures all signal that the good is rare and desirable. Discounting can undermine the brand, because it reduces exclusivity, which is why luxury firms often avoid deep discounting and maintain price discipline.&lt;br /&gt;
&lt;br /&gt;
Pricing strategy for Veblen goods therefore differs from that for conventional goods. Lowering the price to increase volume may reduce the good&#039;s appeal, making the strategy self-defeating. Understanding the Veblen effect helps firms to position their products and helps analysts to interpret pricing and demand patterns in markets for luxury and positional goods.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Conspicuous Consumption]]&lt;br /&gt;
* [[Giffen Good]]&lt;br /&gt;
* [[Law of Demand]]&lt;br /&gt;
* [[Luxury Good]]&lt;br /&gt;
* [[Positional Good]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;History of economic thought literature on Veblen.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;Consumer behaviour research on status and signalling.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;Journal literature on conspicuous consumption and taxation.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Marketing research on luxury brand pricing.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Unemployment_Rate&amp;diff=226</id>
		<title>Unemployment Rate</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Unemployment_Rate&amp;diff=226"/>
		<updated>2026-10-06T04:46:02Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Unemployment Rate&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The &#039;&#039;&#039;unemployment rate&#039;&#039;&#039; is the percentage of the labour force that is unemployed, that is, actively seeking work but not currently employed. It is one of the most closely watched indicators of economic health and is used to assess the state of the labour market, to guide monetary and fiscal policy, and to evaluate the effectiveness of employment programmes. The unemployment rate is calculated by dividing the number of unemployed persons by the labour force, which comprises the employed and the unemployed.&lt;br /&gt;
&lt;br /&gt;
== Measurement ==&lt;br /&gt;
&lt;br /&gt;
The unemployment rate is typically measured through labour force surveys, which ask individuals about their employment status during a reference period. To be counted as unemployed, a person must be without work, available for work, and actively seeking work. The definitions of these criteria vary across countries and over time, affecting comparability. Administrative data, such as the number of people claiming unemployment benefits, provide an alternative measure but differ in coverage and definition.&lt;br /&gt;
&lt;br /&gt;
The measurement of unemployment faces several challenges. &#039;&#039;&#039;Discouraged workers&#039;&#039;&#039;, who have given up looking for work, are not counted as unemployed and are excluded from the labour force, which can make the unemployment rate understate slack in the labour market. &#039;&#039;&#039;Involuntary part-time workers&#039;&#039;&#039;, who would prefer full-time work, are counted as employed although they are underutilised. These limitations have led to the development of broader measures of labour underutilisation, which include these groups.&lt;br /&gt;
&lt;br /&gt;
== Interpretation ==&lt;br /&gt;
&lt;br /&gt;
The unemployment rate reflects both cyclical and structural factors. Cyclical unemployment rises during recessions and falls during expansions, driven by changes in aggregate demand. Structural unemployment reflects mismatches between the skills and locations of workers and the requirements of jobs, and it persists even when demand is adequate. Frictional unemployment arises from the normal process of job search and matching, and it is a feature of any dynamic labour market.&lt;br /&gt;
&lt;br /&gt;
The unemployment rate is therefore not a sufficient measure of labour market health on its own. A low unemployment rate can coexist with low participation, poor job quality, and hidden underemployment, while a high rate may reflect demographic factors or measurement issues rather than a weak economy. Analysts examine participation rates, employment rates, hours worked, and wage growth alongside the unemployment rate to form a complete picture.&lt;br /&gt;
&lt;br /&gt;
== Determinants and policy ==&lt;br /&gt;
&lt;br /&gt;
The unemployment rate is influenced by macroeconomic conditions, labour market institutions, and structural factors. Demand shocks raise unemployment, while policies that support demand can reduce it. Labour market institutions, including unemployment benefits, employment protection, and minimum wages, affect the duration of unemployment and the pace of job creation. Education and training policies affect the matching of workers and jobs, and policies that improve mobility and access to childcare can raise participation.&lt;br /&gt;
&lt;br /&gt;
Policies to reduce unemployment depend on its causes. Cyclical unemployment is addressed through monetary and fiscal policy that supports aggregate demand. Structural unemployment requires measures to improve skills, reduce mismatches, and remove barriers to job creation. Frictional unemployment can be reduced by improving job-search assistance and by making information about vacancies more accessible.&lt;br /&gt;
&lt;br /&gt;
== International comparisons ==&lt;br /&gt;
&lt;br /&gt;
Unemployment rates vary widely across countries, reflecting differences in economic conditions, institutions, and measurement. Comparing rates requires attention to definitions, to the treatment of part-time and discouraged workers, and to demographic composition. Harmonised statistics, such as those produced by international organisations, improve comparability but do not eliminate all differences.&lt;br /&gt;
&lt;br /&gt;
Understanding these differences is important for policy learning, since countries with low unemployment often combine supportive macroeconomic policy with effective labour market institutions and training systems. The lesson is that no single measure or policy is sufficient; rather, a coherent package of macroeconomic, labour market, and education policies is needed to achieve low unemployment and broad participation.&lt;br /&gt;
&lt;br /&gt;
== Duration and flows ==&lt;br /&gt;
&lt;br /&gt;
The unemployment rate is a stock, but it reflects flows into and out of unemployment. The rate can be high because many people become unemployed, because the unemployed remain so for a long time, or both. Distinguishing between inflow and duration is important for policy, since measures to reduce inflows, such as support for firms to retain workers, differ from measures to shorten duration, such as job-search assistance and training.&lt;br /&gt;
&lt;br /&gt;
Long-term unemployment, defined as unemployment lasting more than a year, is a particular concern because it erodes skills and labour force attachment, reducing the probability of re-employment. It can become self-reinforcing, a phenomenon related to hysteresis. Policies to prevent long-term unemployment include early intervention, activation requirements, and training, and they are most effective before unemployment becomes entrenched.&lt;br /&gt;
&lt;br /&gt;
== Youth, older workers and groups ==&lt;br /&gt;
&lt;br /&gt;
Unemployment rates vary greatly across demographic groups. Youth unemployment is typically much higher than the overall rate, reflecting the transition from education to work and the higher turnover of young workers. Older workers who lose jobs may face longer durations and lower re-employment rates, particularly in economies with rigid labour markets. Rates also differ by education, occupation, region, and ethnicity, reflecting differences in skills, discrimination, and local labour market conditions.&lt;br /&gt;
&lt;br /&gt;
These disparities matter for policy and for social outcomes. Targeted programmes, including apprenticeships for youth, retraining for displaced workers, and measures to reduce discrimination, can help to address group-specific unemployment. Monitoring disaggregated rates helps to identify where intervention is most needed.&lt;br /&gt;
&lt;br /&gt;
== Measurement reform ==&lt;br /&gt;
&lt;br /&gt;
The measurement of unemployment has evolved in response to changes in labour markets. The growth of part-time and temporary work, the rise of platform employment, and the increase in remote work have created new forms of labour market attachment that are not fully captured by traditional measures. Some statistical agencies now publish broader measures of labour underutilisation, combining unemployment with involuntary part-time employment and marginally attached workers.&lt;br /&gt;
&lt;br /&gt;
Improving measurement requires investment in surveys, in administrative data, and in international coordination. Better measures support more informed policy and allow more accurate comparisons across countries. The development of real-time indicators, using administrative and digital data, complements traditional surveys and provides more timely signals of labour market conditions.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Labour Force]]&lt;br /&gt;
* [[Natural Rate of Unemployment]]&lt;br /&gt;
* [[Okun&#039;s Law]]&lt;br /&gt;
* [[Employment]]&lt;br /&gt;
* [[Labour Market]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;International Labour Organization statistics on unemployment.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;OECD &#039;&#039;Employment Outlook&#039;&#039; and labour market analyses.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;National statistical agency methodology for labour force surveys.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Journal literature on unemployment measurement and policy.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Tobin%27s_Q&amp;diff=225</id>
		<title>Tobin&#039;s Q</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Tobin%27s_Q&amp;diff=225"/>
		<updated>2026-10-06T04:46:01Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Tobin&amp;#039;s Q&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Tobin&#039;s Q&#039;&#039;&#039; is the ratio of the market value of a firm&#039;s assets, or of its equity and debt, to the replacement cost of those assets. Named after the economist James Tobin, the ratio is used to explain investment behaviour and to assess whether a firm or market is undervalued or overvalued. When Q exceeds one, the market values the firm more than the cost of replacing its assets, providing an incentive to invest; when Q is below one, the market values the firm less than the replacement cost, discouraging investment.&lt;br /&gt;
&lt;br /&gt;
== Definition and measurement ==&lt;br /&gt;
&lt;br /&gt;
Tobin&#039;s Q can be measured in several ways. The simple version divides the market value of a firm, often calculated as market capitalisation plus debt, by the replacement cost of its assets. Replacement cost is the amount that would be required to reproduce the firm&#039;s assets at current prices, which is difficult to observe directly and is often approximated by book value or by an estimate based on asset type and vintage.&lt;br /&gt;
&lt;br /&gt;
Alternative measures use the market value of equity divided by the book value of equity, known as the market-to-book ratio, as a proxy. This measure is easier to compute but differs from the theoretically appropriate measure in several respects, including the treatment of intangibles, the use of historical rather than replacement cost, and the effect of accounting conventions.&lt;br /&gt;
&lt;br /&gt;
== Investment behaviour ==&lt;br /&gt;
&lt;br /&gt;
Under the Q theory of investment, a firm invests when Q exceeds one, because the market value of an additional unit of capital exceeds its cost. In a frictionless world, the firm invests up to the point where Q equals one. This framework provides a micro-founded link between financial market valuations and real investment, and it is used to model how changes in stock prices, interest rates, and taxes affect investment.&lt;br /&gt;
&lt;br /&gt;
In practice, investment is influenced by many factors beyond Q, including cash flow, financing constraints, uncertainty, and adjustment costs. Empirical research finds that Q has some explanatory power for investment but that cash flow and other variables also matter, indicating that capital markets are imperfect and that firms may face constraints on external finance. The Q framework nonetheless provides a useful organising principle for understanding investment.&lt;br /&gt;
&lt;br /&gt;
== Valuation and market efficiency ==&lt;br /&gt;
&lt;br /&gt;
Tobin&#039;s Q is used to assess whether an asset or market is overvalued or undervalued. A Q substantially above one suggests that the market values the firm more than the cost of its assets, which may indicate overvaluation, strong growth prospects, or valuable intangible assets such as reputation, technology, and human capital that are not reflected in replacement cost. A Q below one suggests undervaluation or that the firm&#039;s assets are less productive than expected.&lt;br /&gt;
&lt;br /&gt;
At the market level, Q is sometimes used as an indicator of aggregate valuation. High market-wide Q may signal optimism and potential bubbles, while low Q may signal pessimism and opportunity. The measure is imperfect because it depends on the measurement of replacement cost and because intangibles are poorly captured, but it provides a useful complement to other valuation metrics.&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
Tobin&#039;s Q is applied in corporate finance, macroeconomics, and competition policy. In corporate finance, it is used to evaluate investment opportunities and to assess the value of managerial decisions. In macroeconomics, it links financial conditions to investment and is used to analyse the transmission of monetary policy. In competition policy, it can be used as an indicator of market power and of the value of intangible assets.&lt;br /&gt;
&lt;br /&gt;
The concept has also been used to analyse mergers and acquisitions, since a high Q makes a firm an attractive acquirer, as its stock can be used as currency, while a low Q makes a firm an attractive target. Understanding Q helps to connect financial market valuations with real economic decisions and to interpret the signals that markets send about the value of firms and their assets.&lt;br /&gt;
&lt;br /&gt;
== Q and the cost of capital ==&lt;br /&gt;
&lt;br /&gt;
Tobin&#039;s Q links investment to the cost of capital and to the valuation of assets. When Q exceeds one, the return on new investment, as perceived by the market, exceeds the cost of the funds required to finance it, so firms invest. When Q is below one, the market values existing assets less than their replacement cost, so firms prefer to acquire existing assets rather than build new ones.&lt;br /&gt;
&lt;br /&gt;
Changes in interest rates, taxes, and risk premia affect Q and therefore investment. Lower interest rates raise the present value of future profits and Q, stimulating investment. Investment tax credits and accelerated depreciation reduce the effective cost of capital and raise Q. Uncertainty reduces Q by raising the required return, discouraging investment. This framework helps to explain the sensitivity of investment to financial conditions and to policy.&lt;br /&gt;
&lt;br /&gt;
== Q and intangible capital ==&lt;br /&gt;
&lt;br /&gt;
The Q framework assumes that the replacement cost of assets can be measured, which is difficult for intangible capital such as knowledge, brand, and organisational capital. Firms with substantial intangibles often have high Q, reflecting the market&#039;s valuation of assets not recorded on the balance sheet. This measurement gap complicates the use of Q as an investment indicator and has prompted efforts to estimate intangible capital.&lt;br /&gt;
&lt;br /&gt;
Accounting for intangibles changes the interpretation of Q. A high Q may reflect genuine growth opportunities and valuable intangibles rather than overvaluation, and a low Q may reflect underinvestment or the depreciation of intangibles not captured in the accounts. Careful analysis requires understanding the composition of a firm&#039;s assets and the sources of its value.&lt;br /&gt;
&lt;br /&gt;
== Empirical findings ==&lt;br /&gt;
&lt;br /&gt;
Empirical research on Q finds that it has explanatory power for investment, but that other factors, including cash flow, also matter. The sensitivity of investment to cash flow suggests that financing constraints are important, particularly for smaller and younger firms. Research on investment behaviour has therefore moved beyond the simple Q model to incorporate financial frictions, uncertainty, and adjustment costs.&lt;br /&gt;
&lt;br /&gt;
Q has also been used to study the effects of corporate governance, since firms with higher Q may be better managed or may have stronger growth prospects. Studies find that Q is related to governance quality, ownership structure, and competitive conditions, providing insights into the determinants of firm value. The concept remains a valuable bridge between financial markets and real investment, despite its measurement challenges.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Investment]]&lt;br /&gt;
* [[Market Capitalization]]&lt;br /&gt;
* [[Valuation]]&lt;br /&gt;
* [[Capital Asset Pricing Model]]&lt;br /&gt;
* [[Enterprise Value]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Corporate finance texts on investment and valuation.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;Macroeconomic literature on the Q theory of investment.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;OECD analyses of investment and financial conditions.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Journal research on Tobin&#039;s Q and firm behaviour.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Supply_Shock&amp;diff=224</id>
		<title>Supply Shock</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Supply_Shock&amp;diff=224"/>
		<updated>2026-10-06T04:46:00Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Supply Shock&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;A &#039;&#039;&#039;supply shock&#039;&#039;&#039; is an unexpected event that changes the supply of a good or service, causing a shift in the supply curve and affecting the equilibrium price and quantity. Supply shocks may be positive, increasing supply and lowering prices, or negative, reducing supply and raising prices. They originate from a variety of sources, including natural disasters, geopolitical events, technological changes, and policy decisions, and they are a major source of macroeconomic fluctuations.&lt;br /&gt;
&lt;br /&gt;
== Types and examples ==&lt;br /&gt;
&lt;br /&gt;
Negative supply shocks reduce the availability of inputs or raise their cost. The oil price shocks of 1973 and 1979, caused by geopolitical events in the Middle East, sharply raised energy costs and contributed to stagflation. Natural disasters, such as droughts, floods, and earthquakes, disrupt production of agricultural and other goods. Pandemics and epidemics can disrupt supply chains and reduce labour availability. Export restrictions and sanctions can also create supply shocks.&lt;br /&gt;
&lt;br /&gt;
Positive supply shocks increase availability or lower cost. Technological breakthroughs, such as the shale revolution in energy, can sharply increase supply and lower prices. Discoveries of new resources, favourable weather for agriculture, and productivity improvements are other examples. Trade liberalisation can also act as a positive supply shock by widening access to inputs and goods.&lt;br /&gt;
&lt;br /&gt;
== Macroeconomic effects ==&lt;br /&gt;
&lt;br /&gt;
Supply shocks affect both prices and output. A negative supply shock raises costs, shifting the aggregate supply curve upward, which raises the price level and reduces output, producing the combination of higher inflation and lower growth known as stagflation. A positive supply shock shifts aggregate supply downward, lowering prices and raising output, an outcome that is unambiguously beneficial.&lt;br /&gt;
&lt;br /&gt;
The effects of supply shocks depend on the policy response and on the structure of the economy. If monetary policy accommodates the shock, inflation may become persistent, while if it tightens, output may fall further. The energy intensity of production, the flexibility of labour markets, and the availability of substitutes shape the magnitude of the effects. Economies with diverse energy sources and flexible markets are more resilient to energy shocks.&lt;br /&gt;
&lt;br /&gt;
== Supply shocks and policy ==&lt;br /&gt;
&lt;br /&gt;
Supply shocks present a challenge for policymakers. Unlike demand shocks, which can be addressed by stabilisation policy, supply shocks involve a genuine tension between inflation and output, since the economy&#039;s productive capacity has declined. Monetary policy cannot increase the supply of energy or food, and attempts to accommodate the shock may entrench inflation, while attempts to offset it may deepen the downturn.&lt;br /&gt;
&lt;br /&gt;
The appropriate response depends on the shock and on the policy framework. Central banks may choose to accommodate a temporary shock, allowing prices to adjust while keeping expectations anchored, but may need to tighten if the shock risks becoming embedded in inflation expectations. Fiscal policy can cushion the impact on vulnerable households through targeted transfers, though broad subsidies can be costly and can delay adjustment. Structural policies that improve energy efficiency, diversify supply sources, and strengthen resilience can reduce vulnerability to future shocks.&lt;br /&gt;
&lt;br /&gt;
== Contemporary issues ==&lt;br /&gt;
&lt;br /&gt;
Supply shocks have become more prominent in recent years, as the pandemic disrupted global supply chains, energy prices spiked, and geopolitical tensions increased. These events have raised questions about the resilience of global production networks and about the trade-off between efficiency and security. Some governments have responded by encouraging the diversification of supply, the reshoring of critical production, and the stockpiling of strategic reserves.&lt;br /&gt;
&lt;br /&gt;
The experience has also renewed interest in understanding how supply shocks propagate through the economy, through input-output linkages, and through expectations. Research on the pass-through of cost shocks to consumer prices, and on the role of market structure in shaping that pass-through, informs the design of policies to manage the consequences of supply disruptions. Understanding supply shocks is essential for macroeconomic policy in an era of greater volatility.&lt;br /&gt;
&lt;br /&gt;
== Transmission through supply chains ==&lt;br /&gt;
&lt;br /&gt;
Supply shocks propagate through the economy via input-output linkages. A disruption in the supply of a key input, such as semiconductors or energy, can halt production in downstream industries, magnifying the initial effect. Global value chains, which fragment production across countries, can transmit shocks widely and quickly, as disruptions in one location affect producers elsewhere.&lt;br /&gt;
&lt;br /&gt;
The transmission of supply shocks depends on the availability of substitutes, the level of inventories, and the flexibility of production. Firms with diversified suppliers, buffer stocks, and adaptable processes are more resilient. The pandemic and subsequent disruptions prompted many firms to reassess their supply chains, increasing diversification and, in some cases, reshoring critical production. These adjustments have implications for efficiency and for resilience, and they involve trade-offs.&lt;br /&gt;
&lt;br /&gt;
== Supply shocks and inflation dynamics ==&lt;br /&gt;
&lt;br /&gt;
Supply shocks affect inflation through cost pass-through. Firms facing higher input costs may raise prices, but the extent of pass-through depends on competition, demand conditions, and the ability of firms to absorb costs in margins. If demand is strong, firms can pass costs on more fully; if demand is weak, they may absorb more, limiting the inflation effect.&lt;br /&gt;
&lt;br /&gt;
The interaction between supply shocks and inflation expectations is critical. A one-off supply shock raises prices temporarily, but if it leads to higher wage demands and expectations of persistent inflation, it can become embedded. Central banks monitor this risk closely and respond to prevent second-round effects, while avoiding an overreaction that deepens the downturn caused by the shock.&lt;br /&gt;
&lt;br /&gt;
== Policy responses ==&lt;br /&gt;
&lt;br /&gt;
Policy responses to supply shocks include measures to support supply, such as releasing strategic reserves, facilitating imports, and removing bottlenecks; measures to cushion the impact on households, such as targeted transfers; and macroeconomic measures to contain second-round inflation effects. The appropriate mix depends on the nature and duration of the shock and on the state of the economy.&lt;br /&gt;
&lt;br /&gt;
Supply shocks also highlight the value of resilience and diversification. Investments in domestic production of critical inputs, in alternative suppliers, and in energy efficiency can reduce vulnerability to future shocks. International cooperation can help to keep trade open during disruptions, avoiding the escalation of restrictions that would amplify the effects. Preparing for supply shocks is an important element of macroeconomic and industrial policy in a more volatile world.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Aggregate Supply]]&lt;br /&gt;
* [[Cost Push Inflation]]&lt;br /&gt;
* [[Stagflation]]&lt;br /&gt;
* [[Oil Price Shock]]&lt;br /&gt;
* [[Global Value Chain]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Macroeconomic literature on supply shocks and business cycles.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;OECD analyses of energy and supply-chain disruptions.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;International Monetary Fund research on shock propagation.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;World Bank reports on commodity markets and resilience.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Substitute_Good&amp;diff=223</id>
		<title>Substitute Good</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Substitute_Good&amp;diff=223"/>
		<updated>2026-10-06T04:45:59Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Substitute Good&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;A &#039;&#039;&#039;substitute good&#039;&#039;&#039; is a good that can be used in place of another to satisfy a similar need or want. When two goods are substitutes, an increase in the price of one tends to raise the demand for the other, as consumers switch toward the relatively cheaper option. Substitutability is a central concept in demand analysis and in competition policy, where it determines how closely firms compete with one another.&lt;br /&gt;
&lt;br /&gt;
== Measurement ==&lt;br /&gt;
&lt;br /&gt;
Substitutability is measured by the cross-price elasticity of demand, which is the percentage change in the quantity demanded of one good divided by the percentage change in the price of another. A positive cross-price elasticity indicates that the goods are substitutes; a negative value indicates that they are complements; and a value of zero indicates that they are unrelated. The magnitude of the elasticity indicates how close the substitutes are.&lt;br /&gt;
&lt;br /&gt;
Substitutes may be close or distant. Close substitutes, such as two brands of the same product, are good replacements for one another, and the cross-price elasticity is large. Distant substitutes, such as tea and coffee, are weaker replacements, with smaller elasticities. The degree of substitutability depends on the characteristics of the goods, consumer preferences, prices, and the time horizon, since substitution is easier in the long run.&lt;br /&gt;
&lt;br /&gt;
== Demand and market definition ==&lt;br /&gt;
&lt;br /&gt;
Substitutability shapes the demand curve facing a firm. With close substitutes available, consumers can easily switch, so the firm&#039;s demand is elastic and its pricing power is limited. With few substitutes, demand is inelastic and the firm can raise prices without losing much business. This relationship is central to the analysis of market power and to the estimation of markups.&lt;br /&gt;
&lt;br /&gt;
In competition policy, the definition of the relevant market depends on substitutability. Regulators assess whether products are close enough substitutes that they should be considered part of the same market, using evidence on cross-price elasticities, consumer switching, and product characteristics. Market definition is a critical step in merger review and in the assessment of dominance, because it determines the set of competitors against which a firm is evaluated.&lt;br /&gt;
&lt;br /&gt;
== Supply-side substitution ==&lt;br /&gt;
&lt;br /&gt;
Substitution also occurs on the supply side. Supply-side substitution refers to the ability of producers to switch production from one good to another in response to price changes. If firms can readily adapt their production, they can enter a market quickly, disciplining incumbents. Supply-side substitution affects market definition, since products that are not close demand substitutes may nonetheless compete if producers can switch.&lt;br /&gt;
&lt;br /&gt;
Supply-side substitution depends on the flexibility of production facilities, the availability of inputs, and the regulatory environment. In some industries, such as chemicals or paper, plants can switch between products with modest adjustments, making markets broader than they appear from demand alone.&lt;br /&gt;
&lt;br /&gt;
== Implications ==&lt;br /&gt;
&lt;br /&gt;
Substitutability has implications for pricing, marketing, and policy. Firms with close substitutes must compete on price, quality, and innovation, while those with few substitutes can charge higher prices and invest less in cost reduction. Marketing aims to differentiate products and to reduce substitutability, creating loyalty and reducing price sensitivity.&lt;br /&gt;
&lt;br /&gt;
For policy, substitutability determines the effects of taxes and subsidies, since these are passed on differently depending on how easily consumers can switch. It also shapes the incidence of environmental taxes, the effectiveness of competition policy, and the design of regulation. Understanding substitutability is therefore essential for analysing how markets work and for designing policies that achieve their objectives.&lt;br /&gt;
&lt;br /&gt;
== Substitution and consumer choice ==&lt;br /&gt;
&lt;br /&gt;
Substitution is fundamental to consumer choice. When relative prices change, consumers adjust their purchases toward goods that have become relatively cheaper, subject to the constraints imposed by their needs and preferences. The substitution effect, which captures this response, is always negative for the good whose price rises, and it is a key component of the decomposition of price effects into income and substitution effects.&lt;br /&gt;
&lt;br /&gt;
The availability of substitutes determines the strength of the substitution effect. Where many close substitutes exist, consumers can easily switch, and demand is elastic; where substitutes are scarce, switching is costly, and demand is inelastic. This relationship underpins the analysis of pricing, taxation, and competition.&lt;br /&gt;
&lt;br /&gt;
== Substitutes and market power ==&lt;br /&gt;
&lt;br /&gt;
The availability of substitutes is central to the assessment of market power. A firm faces little market power if its product has close substitutes, because raising the price drives customers to alternatives. Conversely, a firm with few substitutes can raise prices above competitive levels without losing much business. The measurement of substitutability, through cross-price elasticities and through the analysis of consumer switching, is therefore essential for competition policy.&lt;br /&gt;
&lt;br /&gt;
Market definition, the process of identifying the products that compete with one another, relies on substitutability. Authorities use the hypothetical monopolist test, asking whether a hypothetical monopolist of a candidate market could profitably raise prices, to define the relevant market. The analysis draws on evidence about demand elasticities, product characteristics, and consumer behaviour.&lt;br /&gt;
&lt;br /&gt;
== Substitution over time ==&lt;br /&gt;
&lt;br /&gt;
Substitution takes time. In the short run, consumers may be locked into particular goods by contracts, habits, or sunk investments, limiting their ability to switch. In the long run, they can adapt, find alternatives, and change their behaviour, so demand becomes more elastic. This distinction between short-run and long-run elasticity is important for understanding the adjustment to price changes and for designing policy.&lt;br /&gt;
&lt;br /&gt;
The time dimension also matters for policy. Taxes and subsidies have larger effects on behaviour in the long run, as consumers and firms adjust, and the transition can involve costs. Anticipating these effects and designing policies that support adjustment, such as retraining and investment, can improve outcomes and reduce the costs of change.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Complementary Good]]&lt;br /&gt;
* [[Price Elasticity of Demand]]&lt;br /&gt;
* [[Market Definition]]&lt;br /&gt;
* [[Cross-Price Elasticity]]&lt;br /&gt;
* [[Competition Policy]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Microeconomics texts on demand and substitution.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;OECD and competition authority guidance on market definition.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;Journal literature on demand estimation and substitutability.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Industrial organisation research on competition and pricing.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Stagflation&amp;diff=222</id>
		<title>Stagflation</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Stagflation&amp;diff=222"/>
		<updated>2026-10-06T04:45:58Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Stagflation&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Stagflation&#039;&#039;&#039; is a combination of stagnant economic growth, high unemployment, and high inflation. The term gained prominence in the 1970s, when many advanced economies experienced simultaneously rising prices and rising unemployment, contradicting the prevailing view that inflation and unemployment moved in opposite directions. Stagflation poses a difficult challenge for policymakers, because the standard tools for fighting inflation, namely tightening monetary and fiscal policy, tend to worsen unemployment, and the tools for fighting unemployment tend to worsen inflation.&lt;br /&gt;
&lt;br /&gt;
== Historical experience ==&lt;br /&gt;
&lt;br /&gt;
Stagflation in the 1970s followed the collapse of the Bretton Woods system of fixed exchange rates, the oil price shocks of 1973 and 1979, and the combination of expansionary monetary and fiscal policies with supply disruptions. Oil prices quadrupled in 1973, raising production costs across the economy and reducing output, while inflation accelerated. At the same time, unemployment rose, and the Phillips curve relationship appeared to break down.&lt;br /&gt;
&lt;br /&gt;
The experience discredited the simple Phillips curve and led to the development of the expectations-augmented Phillips curve, which holds that the trade-off between inflation and unemployment exists only in the short run and that in the long run unemployment returns to its natural rate regardless of inflation. It also prompted a reassessment of the role of supply shocks and of the importance of anchoring inflation expectations.&lt;br /&gt;
&lt;br /&gt;
== Causes ==&lt;br /&gt;
&lt;br /&gt;
Stagflation can arise from several sources. &#039;&#039;&#039;Supply shocks&#039;&#039;&#039;, such as sharp increases in the prices of energy, food, or other inputs, raise costs and reduce output while raising prices, producing the combination of stagnation and inflation. &#039;&#039;&#039;Adverse policy&#039;&#039;&#039;, including excessive monetary expansion combined with supply constraints, can also contribute. &#039;&#039;&#039;Wage-price spirals&#039;&#039;&#039;, in which expectations of inflation feed into wage demands and price setting, can entrench stagflation once it begins.&lt;br /&gt;
&lt;br /&gt;
Structural factors, including rigid labour markets, declining productivity growth, and bottlenecked production, can make an economy more prone to stagflation, because supply cannot respond to price signals. The combination of weak supply and strong nominal demand is the classic recipe for stagflation.&lt;br /&gt;
&lt;br /&gt;
== Policy challenges ==&lt;br /&gt;
&lt;br /&gt;
Stagflation presents a dilemma for policymakers. Monetary tightening can reduce inflation but at the cost of higher unemployment and lower output. Monetary easing can support output and employment but at the cost of higher inflation. Fiscal policy faces a similar dilemma, and the scope for demand management in either direction is limited when both inflation and unemployment are high.&lt;br /&gt;
&lt;br /&gt;
The resolution of stagflation in the 1980s involved a determined disinflation, with central banks raising interest rates sharply to break inflation expectations, accepting a deep recession and high unemployment in the short run. This episode established the importance of central bank credibility and independence, and it informed the adoption of inflation-targeting frameworks in many countries. It also underscored the value of supply-side policies to improve the productive capacity of the economy and to reduce vulnerability to shocks.&lt;br /&gt;
&lt;br /&gt;
== Contemporary relevance ==&lt;br /&gt;
&lt;br /&gt;
Stagflation remains a concern in modern economies, particularly when supply shocks coincide with strong demand. The disruptions of the pandemic, the energy price spike following the conflict in Ukraine, and the associated inflation have raised questions about the risk of stagflation and about the appropriate policy response. Central banks have responded by raising rates to contain inflation, weighing the risk of a downturn against the risk of entrenched inflation.&lt;br /&gt;
&lt;br /&gt;
The experience has renewed interest in supply-side policies, including investment in energy security, measures to improve productivity, and reforms to reduce bottlenecks. It has also highlighted the importance of international cooperation to address global supply disruptions and to avoid policies that shift problems from one country to another. Understanding stagflation is essential for anticipating and responding to episodes when growth and price stability come into conflict.&lt;br /&gt;
&lt;br /&gt;
== Measurement and identification ==&lt;br /&gt;
&lt;br /&gt;
Identifying stagflation requires assessing whether an economy is experiencing simultaneous weakness in growth and elevated inflation. This is not straightforward, because growth and inflation are measured with error and because temporary factors can distort both. Analysts examine a range of indicators, including output gaps, unemployment, wage growth, inflation expectations, and measures of slack, to determine whether stagflation risk is genuine.&lt;br /&gt;
&lt;br /&gt;
The distinction between temporary and persistent stagflation matters for policy. A temporary supply shock that raises prices and reduces output may require limited intervention, while a persistent combination of weak growth and high inflation, especially if expectations become unanchored, requires a more forceful response. Judging which situation prevails is one of the most difficult tasks in macroeconomic policy.&lt;br /&gt;
&lt;br /&gt;
== Supply-side responses ==&lt;br /&gt;
&lt;br /&gt;
Addressing stagflation often requires supply-side measures, since demand management is constrained by the conflict between inflation and unemployment. Policies to improve energy security, diversify supply sources, and reduce dependence on volatile inputs can lower vulnerability to supply shocks. Investment in infrastructure, skills, and technology can raise productive capacity and ease supply bottlenecks.&lt;br /&gt;
&lt;br /&gt;
Structural reforms to improve the flexibility of product and labour markets can help the economy to adjust to shocks with less inflation and unemployment. These reforms take time to bear fruit, so they are complements to, rather than substitutes for, short-run stabilisation policy. The combination of demand management, supply-side measures, and measures to protect the vulnerable is typically required to respond to stagflation effectively.&lt;br /&gt;
&lt;br /&gt;
== International dimensions ==&lt;br /&gt;
&lt;br /&gt;
Stagflation often has international dimensions, since supply shocks and inflation are transmitted across borders through trade, commodity markets, and financial linkages. A coordinated response can be more effective than unilateral action, particularly when the shock is global. International cooperation on energy security, trade, and macroeconomic policy can help to reduce the severity and duration of stagflation.&lt;br /&gt;
&lt;br /&gt;
However, coordination is difficult, and countries may respond with measures that shift problems elsewhere, such as export restrictions or competitive depreciation. Avoiding such outcomes requires dialogue and shared frameworks, and it underscores the value of international institutions in managing global shocks. The experience of the 1970s, when coordination was limited, offers lessons for managing future episodes.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Inflation]]&lt;br /&gt;
* [[Supply Shock]]&lt;br /&gt;
* [[Phillips Curve]]&lt;br /&gt;
* [[Unemployment]]&lt;br /&gt;
* [[Monetary Policy]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Macroeconomic history of the 1970s and 1980s.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;Central bank research on supply shocks and inflation.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;OECD analyses of stagflation risk.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Journal literature on the expectations-augmented Phillips curve.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Speculation&amp;diff=221</id>
		<title>Speculation</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Speculation&amp;diff=221"/>
		<updated>2026-10-06T04:45:56Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Speculation&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Speculation&#039;&#039;&#039; is the practice of buying or selling an asset, commodity, or financial instrument with the expectation of profiting from a change in its price, rather than for the purpose of using the asset or hedging an existing exposure. Speculation is a pervasive feature of financial and commodity markets and plays an important role in price discovery and liquidity provision, while also contributing to volatility and to the formation of bubbles.&lt;br /&gt;
&lt;br /&gt;
== Forms and participants ==&lt;br /&gt;
&lt;br /&gt;
Speculation takes many forms. &#039;&#039;&#039;Position trading&#039;&#039;&#039; holds positions for weeks or months, based on fundamental analysis. &#039;&#039;&#039;Day trading&#039;&#039;&#039; opens and closes positions within a day, often relying on technical analysis. &#039;&#039;&#039;Arbitrage&#039;&#039;&#039; exploits price differences between related instruments, and though it is often described as riskless, it involves risk in practice. &#039;&#039;&#039;Momentum trading&#039;&#039;&#039; buys assets that have risen and sells those that have fallen, betting on the continuation of trends.&lt;br /&gt;
&lt;br /&gt;
Speculators include individual investors, hedge funds, proprietary trading desks, and, in commodity markets, financial investors such as index funds. Their motivations range from profit seeking to portfolio diversification. Producers and consumers also take speculative positions when they choose not to hedge, effectively betting on price movements.&lt;br /&gt;
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== Economic functions ==&lt;br /&gt;
&lt;br /&gt;
Speculation serves several economic functions. It provides &#039;&#039;&#039;liquidity&#039;&#039;&#039;, allowing hedgers to trade without moving prices excessively. It contributes to &#039;&#039;&#039;price discovery&#039;&#039;&#039;, as speculators trade on information and analysis, helping prices to reflect available information. It facilitates &#039;&#039;&#039;risk transfer&#039;&#039;&#039;, as speculators absorb risk that hedgers wish to shed, in exchange for a premium. In commodity markets, speculative activity can smooth prices over time, by buying when prices are low and selling when high, though empirical evidence on this effect is mixed.&lt;br /&gt;
&lt;br /&gt;
These functions are valuable, which is why speculative activity is not inherently harmful. The distinction between beneficial speculation and harmful speculation depends on whether trades are informed and whether they contribute to price discovery or distort prices away from fundamentals.&lt;br /&gt;
&lt;br /&gt;
== Speculation and bubbles ==&lt;br /&gt;
&lt;br /&gt;
Speculation can contribute to asset-price bubbles, in which prices rise far above fundamentals, driven by expectations of further gains rather than by intrinsic value. Historical examples include the Dutch tulip mania, the South Sea Bubble, the dot-com bubble, and the housing bubble preceding the 2008 financial crisis. In each case, speculative buying, often financed by credit, pushed prices to unsustainable levels, followed by sharp collapses.&lt;br /&gt;
&lt;br /&gt;
Bubbles arise from a combination of factors, including optimism, herd behaviour, leverage, and the belief that one can exit before the collapse, sometimes called the greater fool theory. Behavioural factors such as overconfidence and extrapolation play a role, as do structural factors such as loose monetary policy and financial innovation. The identification of bubbles in real time is difficult, and views differ on whether policymakers should act to deflate them.&lt;br /&gt;
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== Regulation and policy ==&lt;br /&gt;
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Speculation is regulated to protect market integrity and to limit systemic risk. Rules prohibit manipulation and insider trading, impose position limits in some markets, and require disclosure of large positions. Margin requirements limit leverage, and circuit breakers and other mechanisms aim to limit disorderly price movements. In commodity markets, concerns about the effects of financial speculation on food and energy prices have prompted debate about position limits and transparency.&lt;br /&gt;
&lt;br /&gt;
Policymakers face a difficult balance. Excessive regulation can reduce liquidity and impair price discovery, while insufficient oversight can allow manipulation and systemic risk. The appropriate approach depends on the market, the participants, and the broader financial stability framework, and it continues to evolve in response to experience and to changes in market structure.&lt;br /&gt;
&lt;br /&gt;
== Speculation in commodity markets ==&lt;br /&gt;
&lt;br /&gt;
Speculation in commodity markets has attracted particular attention, especially following the food and energy price spikes of the 2000s. Financial investors, including index funds and exchange-traded products, increased their participation in commodity futures, prompting debate about whether speculation contributed to price increases and volatility. Some studies find that speculative flows affect prices in the short run, while others emphasise the role of fundamentals such as supply and demand.&lt;br /&gt;
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Policymakers have responded with measures including position limits, enhanced transparency, and reporting requirements, aiming to limit excessive speculation while preserving the liquidity and price discovery functions. The evidence on the effectiveness of these measures is mixed, and the debate continues about how to distinguish harmful speculation from beneficial market activity.&lt;br /&gt;
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== Speculation and financial innovation ==&lt;br /&gt;
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Financial innovation has expanded the scope for speculation, creating new instruments and markets. Derivatives allow leveraged positions on a wide range of underlying assets, and structured products allow investors to bet on complex outcomes. While these instruments serve legitimate hedging and investment purposes, they can also facilitate excessive speculation and create systemic risk.&lt;br /&gt;
&lt;br /&gt;
The global financial crisis illustrated how speculation and leverage in complex instruments could destabilise the financial system. The reforms that followed, including central clearing, margin requirements, and enhanced supervision, aimed to reduce the associated risks while preserving the benefits of derivatives markets. The balance between innovation and stability remains a central challenge for regulators.&lt;br /&gt;
&lt;br /&gt;
== Behavioural aspects ==&lt;br /&gt;
&lt;br /&gt;
Speculation is influenced by behavioural factors, including overconfidence, herding, and the desire to follow trends. Investors may trade excessively, believing they have superior information or skill, and they may be influenced by narratives and social dynamics. These tendencies can amplify price movements and contribute to bubbles and crashes.&lt;br /&gt;
&lt;br /&gt;
Understanding the behavioural drivers of speculation helps to explain why markets deviate from the predictions of rational models and why bubbles recur despite the lessons of history. It also informs the design of policies to protect investors, including disclosure requirements, suitability rules, and financial education, and it shapes the approach of regulators to market conduct and stability.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Arbitrage]]&lt;br /&gt;
* [[Asset Price Bubble]]&lt;br /&gt;
* [[Hedging]]&lt;br /&gt;
* [[Market Efficiency]]&lt;br /&gt;
* [[Financial Regulation]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Finance texts on speculation and market microstructure.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;OECD and International Monetary Fund research on asset bubbles.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;Bank for International Settlements work on market functioning.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Journal literature on speculation and commodity prices.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Sovereign_Bond&amp;diff=220</id>
		<title>Sovereign Bond</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Sovereign_Bond&amp;diff=220"/>
		<updated>2026-10-06T04:45:55Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Sovereign Bond&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;A &#039;&#039;&#039;sovereign bond&#039;&#039;&#039; is a debt security issued by a national government to raise funds, typically to finance public spending, refinance existing debt, or manage liquidity. Sovereign bonds are the largest segment of the international bond market and serve as benchmarks for other types of debt. The creditworthiness of sovereign bonds varies widely, and the yields reflect the market&#039;s assessment of default risk, inflation, and liquidity.&lt;br /&gt;
&lt;br /&gt;
== Characteristics ==&lt;br /&gt;
&lt;br /&gt;
Sovereign bonds are issued with a range of maturities, from short-term treasury bills to long-dated bonds with maturities of thirty years or more. They may be fixed-rate, floating-rate, or inflation-linked. The terms specify the coupon, the maturity, and the repayment of principal. In some countries, sovereign bonds are issued in the domestic currency, while others issue in foreign currencies, often to tap international investors.&lt;br /&gt;
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Sovereign bonds are typically traded in deep, liquid markets, and they serve as collateral in financial transactions and as benchmarks for pricing other securities. The yield curve, which plots yields against maturity, is a key indicator of market expectations about interest rates, inflation, and growth, and it is closely monitored by policymakers and investors.&lt;br /&gt;
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== Determinants of yields ==&lt;br /&gt;
&lt;br /&gt;
Sovereign yields reflect several factors. The &#039;&#039;&#039;expected path of policy rates&#039;&#039;&#039; and &#039;&#039;&#039;inflation&#039;&#039;&#039; determine the baseline. &#039;&#039;&#039;Default risk&#039;&#039;&#039; adds a credit spread, which is larger for sovereigns with high debt, weak institutions, or foreign-currency obligations. &#039;&#039;&#039;Liquidity&#039;&#039;&#039; affects the yield, with less liquid bonds requiring higher yields. &#039;&#039;&#039;Term premia&#039;&#039;&#039; compensate investors for the uncertainty of holding long-dated debt. In international markets, &#039;&#039;&#039;currency risk&#039;&#039;&#039; also matters, with foreign-currency bonds typically offering higher yields.&lt;br /&gt;
&lt;br /&gt;
For sovereigns issuing in their own currency and controlling their central bank, default risk is generally low, because the government can service debt through taxation, spending cuts, or monetary expansion. For sovereigns borrowing in foreign currency, the risk of default is more serious, since the government cannot create the currency it owes.&lt;br /&gt;
&lt;br /&gt;
== The sovereign-bank nexus ==&lt;br /&gt;
&lt;br /&gt;
Sovereign bonds are held extensively by domestic banks, creating a close linkage between sovereign and bank risk. Banks hold government bonds as liquid assets and as collateral, and their balance sheets are exposed to sovereign credit risk. When sovereign risk rises, bank funding costs increase and their capital position weakens, which can in turn raise the cost of government borrowing, creating an adverse feedback loop. This nexus was a central feature of the euro area debt crisis.&lt;br /&gt;
&lt;br /&gt;
Regulatory reform has sought to address the nexus, including through limits on large exposures and through resolution frameworks, but the concentration of sovereign debt on bank balance sheets remains a concern in many jurisdictions. The design of prudential rules involves a trade-off between the liquidity benefits of holding government bonds and the risks of concentration.&lt;br /&gt;
&lt;br /&gt;
== Market dynamics and crises ==&lt;br /&gt;
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Sovereign bond markets can experience sharp movements during crises. Loss of confidence can trigger rapid increases in yields, a phenomenon known as a sudden stop, making refinancing difficult and potentially forcing a default or a restructuring. International institutions provide financing to countries facing such pressures, often conditional on policy adjustment.&lt;br /&gt;
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In recent years, sovereign debt levels have risen substantially in many countries, and the interaction of high debt with rising interest rates has raised concerns about sustainability. The structure of debt, including its currency composition and maturity, and the credibility of institutions, determine how much pressure a sovereign can withstand. Markets monitor fiscal policy, political stability, and growth prospects closely, and they adjust yields accordingly.&lt;br /&gt;
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== Sovereign debt management ==&lt;br /&gt;
&lt;br /&gt;
Sovereign debt management involves choosing the currency composition, maturity structure, and instrument mix of government debt. The objectives include minimising borrowing costs, managing risk, and ensuring access to funding under stress. Trade-offs arise, since shorter maturities reduce interest-rate risk but increase rollover risk, and foreign-currency borrowing may offer lower nominal rates but exposes the government to currency risk.&lt;br /&gt;
&lt;br /&gt;
Debt management offices publish strategies and report on risk, and they coordinate with fiscal and monetary authorities. The choice of instruments, including inflation-linked bonds and floating-rate notes, affects the exposure of the government and the information available to markets. Credible, transparent debt management supports market confidence and reduces borrowing costs.&lt;br /&gt;
&lt;br /&gt;
== Sovereign risk and market discipline ==&lt;br /&gt;
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Sovereign risk is assessed by markets and by rating agencies, and it is reflected in spreads over benchmark rates. Market discipline operates through higher borrowing costs and reduced access for sovereigns that pursue unsustainable policies, though it can also be procyclical, tightening abruptly during periods of stress. The interaction between market discipline and policy incentives is a central issue in the design of fiscal frameworks.&lt;br /&gt;
&lt;br /&gt;
Collective action clauses, which allow a qualified majority of bondholders to agree to a restructuring, have been widely adopted to facilitate orderly resolution of sovereign debt problems and to reduce holdout risk. The design of these clauses and of the broader international financial architecture continues to evolve in response to experience with debt crises.&lt;br /&gt;
&lt;br /&gt;
== Sovereign bonds in monetary policy ==&lt;br /&gt;
&lt;br /&gt;
Sovereign bonds are central to monetary policy operations. Central banks hold government securities as reserves and use them in open market operations, and they purchase them in quantitative easing programmes. The supply of sovereign bonds affects the term structure of interest rates and the transmission of monetary policy, and the interaction between debt management and monetary policy is closely monitored.&lt;br /&gt;
&lt;br /&gt;
In some economies, banks hold large quantities of sovereign bonds, linking bank and sovereign risk. Regulatory and supervisory measures, including exposure limits and stress tests that account for sovereign risk, aim to limit this linkage. The design of these measures involves balancing the liquidity and safety attributes of government securities against the risks of concentration.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Government Debt]]&lt;br /&gt;
* [[Default Risk]]&lt;br /&gt;
* [[Credit Spread]]&lt;br /&gt;
* [[Bond]]&lt;br /&gt;
* [[Debt-to-GDP Ratio]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;OECD and International Monetary Fund analyses of sovereign debt markets.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;Bank for International Settlements data on government bond markets.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;Credit rating agency methodologies for sovereign ratings.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Journal literature on sovereign risk and debt crises.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Risk_Aversion&amp;diff=219</id>
		<title>Risk Aversion</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Risk_Aversion&amp;diff=219"/>
		<updated>2026-10-06T04:45:54Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Risk Aversion&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Risk aversion&#039;&#039;&#039; is the preference for a certain outcome over an uncertain outcome with the same expected value. A risk-averse individual prefers a sure payment to a gamble with the same expected payoff, and will accept a gamble only if the expected return is sufficiently high to compensate for the uncertainty. Risk aversion is a central concept in finance, insurance, and decision theory, and it explains a wide range of economic behaviour.&lt;br /&gt;
&lt;br /&gt;
== Economic foundations ==&lt;br /&gt;
&lt;br /&gt;
Risk aversion arises from the diminishing marginal utility of wealth. If each additional unit of wealth provides less satisfaction than the previous unit, then the utility of a certain wealth level exceeds the expected utility of a gamble with the same expected value. This insight, developed by Daniel Bernoulli and formalised by John von Neumann and Oskar Morgenstern, underlies expected utility theory.&lt;br /&gt;
&lt;br /&gt;
The degree of risk aversion can be measured by the curvature of the utility function. Absolute risk aversion measures aversion to a fixed amount of risk and typically declines as wealth rises. Relative risk aversion measures aversion to risk proportional to wealth and is often treated as constant, a convenient assumption in models of asset pricing and portfolio choice.&lt;br /&gt;
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== Behavioural manifestations ==&lt;br /&gt;
&lt;br /&gt;
Risk aversion influences many economic decisions. Investors demand a risk premium for holding risky assets, and the size of the premium reflects their risk aversion and the riskiness of the asset. In insurance, risk-averse individuals are willing to pay a premium above the expected loss to transfer risk to an insurer. In labour markets, risk aversion affects the choice between stable employment and higher-paying but riskier opportunities, and it influences career choices.&lt;br /&gt;
&lt;br /&gt;
Firms also exhibit risk aversion, particularly when managers&#039; wealth and careers are tied to the firm&#039;s performance. Corporate decisions about investment, leverage, and hedging reflect risk preferences, as do decisions about research and development, where outcomes are uncertain. Organisational structures and incentive schemes can shape the risk-taking behaviour of employees.&lt;br /&gt;
&lt;br /&gt;
== Implications for markets ==&lt;br /&gt;
&lt;br /&gt;
Risk aversion is central to asset pricing. The equity risk premium, the excess return of stocks over risk-free bonds, reflects the compensation that investors require for bearing equity risk. The capital asset pricing model relates expected returns to systematic risk, adjusted for risk aversion. The consumption capital asset pricing model links the risk premium to the covariance of returns with consumption growth and to risk aversion.&lt;br /&gt;
&lt;br /&gt;
Risk aversion also affects the term structure of interest rates, through term premia, and the pricing of credit risk, through default risk premia. Changes in risk aversion, often described as shifts in risk appetite, can move asset prices and spreads significantly, and they are a major driver of financial cycles.&lt;br /&gt;
&lt;br /&gt;
== Variations and anomalies ==&lt;br /&gt;
&lt;br /&gt;
Risk preferences vary across individuals and contexts, and they deviate from the standard model in several ways. Behavioural research documents loss aversion, the tendency to weigh losses more heavily than equivalent gains, and prospect theory, which describes decisions in terms of gains and losses relative to a reference point rather than levels of wealth. These findings challenge the expected utility framework and have implications for finance, insurance, and public policy.&lt;br /&gt;
&lt;br /&gt;
Risk aversion is also influenced by framing, by experience, and by the environment. In some contexts, individuals display risk-seeking behaviour, such as when facing losses or when gambling. Understanding the determinants and consequences of risk preferences is an active area of research, with implications for the design of financial products, insurance contracts, and policies that affect risk-taking.&lt;br /&gt;
&lt;br /&gt;
== Risk aversion and portfolio choice ==&lt;br /&gt;
&lt;br /&gt;
Risk aversion is a central determinant of portfolio choice. In the mean-variance framework, investors choose portfolios that maximise expected return for a given level of risk, with the optimal allocation to risky assets increasing with the risk premium and decreasing with risk aversion and variance. Investors with higher risk aversion hold more of the risk-free asset and less of the risky portfolio.&lt;br /&gt;
&lt;br /&gt;
The framework has been extended to account for multiple risky assets, time-varying risk premia, and background risk from labour income and housing. These extensions show that portfolio choice depends not only on risk aversion but also on the correlation of asset returns with other sources of risk, and on the investor&#039;s horizon and liquidity needs. For most households, human capital and housing are large components of total wealth and shape the appropriate financial portfolio.&lt;br /&gt;
&lt;br /&gt;
== Risk aversion and insurance ==&lt;br /&gt;
&lt;br /&gt;
Risk aversion explains the demand for insurance. A risk-averse individual is willing to pay a premium above the expected loss to transfer risk to an insurer, and the size of the premium reflects the degree of risk aversion and the size of the potential loss. This willingness to pay is the basis of the insurance industry and of social insurance programmes.&lt;br /&gt;
&lt;br /&gt;
The demand for insurance also depends on wealth, on the availability of credit, and on the characteristics of the risk. Insurance markets can fail when risks are correlated, when information is asymmetric, or when the insured can influence the probability of loss, leading to adverse selection and moral hazard. These problems justify regulation, mandatory participation, and the design of contracts that balance coverage with incentives.&lt;br /&gt;
&lt;br /&gt;
== Risk aversion and public policy ==&lt;br /&gt;
&lt;br /&gt;
Risk aversion has implications for public policy. Public investments with uncertain returns should be evaluated using risk-adjusted discount rates or certainty equivalents, reflecting society&#039;s risk preferences and the correlation of the project&#039;s returns with the rest of the economy. The evaluation of climate policy, for example, depends crucially on assumptions about risk aversion and about the distribution of future outcomes.&lt;br /&gt;
&lt;br /&gt;
Risk aversion also shapes policy design in areas such as social insurance, financial regulation, and consumer protection. Overly generous insurance can reduce incentives and create moral hazard, while inadequate insurance leaves individuals exposed to risk they cannot bear. Calibrating these policies requires understanding the risk preferences of the population and the trade-offs involved, and it benefits from evidence on how people actually behave under uncertainty.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Risk Premium]]&lt;br /&gt;
* [[Expected Utility]]&lt;br /&gt;
* [[Portfolio Theory]]&lt;br /&gt;
* [[Loss Aversion]]&lt;br /&gt;
* [[Uncertainty]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Decision theory and finance texts on risk preferences.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;Behavioural economics research on prospect theory.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;Bank for International Settlements work on risk premia.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Journal literature on risk aversion and asset pricing.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Real_Interest_Rate&amp;diff=218</id>
		<title>Real Interest Rate</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Real_Interest_Rate&amp;diff=218"/>
		<updated>2026-10-06T04:45:53Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Real Interest Rate&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The &#039;&#039;&#039;real interest rate&#039;&#039;&#039; is the nominal interest rate adjusted for inflation, measuring the real return to lending or the real cost of borrowing in terms of purchasing power. It is the rate that matters for saving and investment decisions, because it reflects the change in real wealth rather than in nominal amounts. The real interest rate is central to the analysis of monetary policy, capital allocation, and intertemporal choice.&lt;br /&gt;
&lt;br /&gt;
== Calculation ==&lt;br /&gt;
&lt;br /&gt;
The real interest rate is approximately equal to the nominal interest rate minus the expected rate of inflation, a relationship known as the Fisher equation. More precisely, the real rate equals one plus the nominal rate divided by one plus the inflation rate, minus one. The exact and approximate formulas differ when inflation is high, but the approximation is close when inflation is low.&lt;br /&gt;
&lt;br /&gt;
The distinction between ex ante and ex post real rates matters. The ex ante real rate is based on expected inflation and guides decisions at the time they are made. The ex post real rate is based on actual inflation and measures realised returns. When inflation surprises occur, the ex post real rate may differ substantially from the ex ante rate, redistributing wealth between borrowers and lenders.&lt;br /&gt;
&lt;br /&gt;
== Determinants ==&lt;br /&gt;
&lt;br /&gt;
The real interest rate is determined by the balance of saving and investment and by monetary policy. In the long run, it reflects the productivity of capital and the preferences of households for present versus future consumption, a concept captured by the natural, or neutral, real rate. As the supply of saving increases or the demand for investment falls, the natural rate declines.&lt;br /&gt;
&lt;br /&gt;
Monetary policy influences the real interest rate in the short run by setting the nominal rate while inflation is sticky. By lowering the nominal rate faster than inflation falls, a central bank can reduce the real rate and stimulate spending. In the long run, the real rate is determined by fundamentals, and monetary policy affects only inflation, a result known as the long-run neutrality of money.&lt;br /&gt;
&lt;br /&gt;
== Significance ==&lt;br /&gt;
&lt;br /&gt;
The real interest rate is critical for several reasons. It determines the incentive to save and invest, and thus the allocation of resources over time. A high real rate discourages investment and encourages saving, while a low real rate does the opposite. It affects the valuation of assets, since future cash flows are discounted at real rates in real terms or nominal rates in nominal terms. It influences wealth distribution between debtors and creditors.&lt;br /&gt;
&lt;br /&gt;
The real rate also matters for fiscal sustainability, since the difference between the interest rate on government debt and the growth rate of the economy determines the trajectory of the debt ratio. A persistently low real rate makes high debt more sustainable, while a rise in the real rate can rapidly worsen fiscal dynamics.&lt;br /&gt;
&lt;br /&gt;
== Recent trends ==&lt;br /&gt;
&lt;br /&gt;
Real interest rates have declined substantially over recent decades in advanced economies, a trend attributed to demographic change, slower productivity growth, increased demand for safe assets, and a global savings glut. Very low or negative real rates have become common, posing challenges for monetary policy, which faces the zero lower bound on nominal rates and limited room to cut. Negative real rates penalise savers and can encourage risk-taking, raising financial stability concerns.&lt;br /&gt;
&lt;br /&gt;
The causes and consequences of low real rates are a major theme in contemporary macroeconomics. The debate has implications for the conduct of monetary policy, the design of fiscal policy, and the assessment of financial stability, and it has prompted discussions about the appropriate inflation target and the role of fiscal policy in stabilisation.&lt;br /&gt;
&lt;br /&gt;
== The natural rate and r minus g ==&lt;br /&gt;
&lt;br /&gt;
The natural, or neutral, real rate is the rate consistent with output at potential and stable inflation. It is not directly observable and must be estimated, with estimates subject to considerable uncertainty. The natural rate is influenced by the balance of saving and investment, by demographics, by productivity growth, and by the demand for safe assets. Its decline in advanced economies has been a major theme in macroeconomics.&lt;br /&gt;
&lt;br /&gt;
The relationship between the interest rate and the growth rate, captured by the interest-growth differential, or r minus g, is central to debt dynamics. When the real interest rate is below the growth rate, governments can sustain higher debt ratios, because the economy grows faster than the debt accumulates interest. When the differential reverses, fiscal positions can deteriorate rapidly, and adjustment becomes necessary. Understanding r minus g is essential for assessing fiscal sustainability.&lt;br /&gt;
&lt;br /&gt;
== The zero lower bound and negative rates ==&lt;br /&gt;
&lt;br /&gt;
The zero lower bound on nominal interest rates implies that the real interest rate cannot fall below minus the inflation rate. When inflation is low, this constrains the ability of monetary policy to reduce real rates during downturns, motivating unconventional policies. Some central banks introduced negative policy rates to push real rates lower and to discourage hoarding of reserves, though the effects and limits of negative rates remain debated.&lt;br /&gt;
&lt;br /&gt;
Negative real rates, which occur when inflation exceeds the nominal rate, redistribute wealth from creditors to debtors and encourage borrowing and spending. They can support recovery but also encourage risk-taking and asset price inflation. The prevalence of low and negative real rates has prompted reconsideration of the inflation target and of the role of fiscal policy in providing stimulus when monetary policy is constrained.&lt;br /&gt;
&lt;br /&gt;
== Measurement and expectations ==&lt;br /&gt;
&lt;br /&gt;
Measuring the real interest rate requires measuring inflation expectations, which are not directly observable. Survey-based measures, market-based measures from inflation-linked securities and swaps, and model-based estimates each have limitations. The choice of measure can materially affect the estimated real rate and the assessment of the policy stance. Uncertainty about expectations translates into uncertainty about the real rate.&lt;br /&gt;
&lt;br /&gt;
The distinction between ex ante and ex post real rates is also important. Decisions are based on expected inflation, but realised outcomes may differ, redistributing wealth between borrowers and lenders. Unexpected inflation benefits borrowers at the expense of lenders, while unexpected disinflation does the opposite. These redistribution effects are a reason why inflation stability matters for financial contracts and for the distribution of income and wealth.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Nominal Interest Rate]]&lt;br /&gt;
* [[Fisher Equation]]&lt;br /&gt;
* [[Inflation]]&lt;br /&gt;
* [[Natural Rate of Interest]]&lt;br /&gt;
* [[Monetary Policy]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Central bank research on the natural rate of interest.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;International Monetary Fund analyses of global interest rates.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;OECD work on interest rates and saving.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Journal literature on the Fisher equation and real rates.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Quantitative_Easing&amp;diff=217</id>
		<title>Quantitative Easing</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Quantitative_Easing&amp;diff=217"/>
		<updated>2026-10-06T04:45:52Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Quantitative Easing&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Quantitative easing&#039;&#039;&#039; is a monetary policy tool in which a central bank purchases large quantities of financial assets, typically government bonds and sometimes other securities, to inject liquidity into the financial system and to lower long-term interest rates. It is used when conventional policy, namely reducing the policy interest rate, is constrained by the zero lower bound or is deemed insufficient to achieve the central bank&#039;s objectives.&lt;br /&gt;
&lt;br /&gt;
== Mechanism ==&lt;br /&gt;
&lt;br /&gt;
Quantitative easing works through several channels. The &#039;&#039;&#039;portfolio balance channel&#039;&#039;&#039; operates as the central bank buys long-term assets, reducing their supply in private hands and prompting investors to shift into other assets, raising their prices and lowering their yields. The &#039;&#039;&#039;signal channel&#039;&#039;&#039; operates as asset purchases signal that policy will remain accommodative for an extended period, influencing expectations of future rates. The &#039;&#039;&#039;exchange rate channel&#039;&#039;&#039; operates as lower domestic rates and easier conditions may depreciate the currency, supporting exports. The &#039;&#039;&#039;confidence channel&#039;&#039;&#039; operates as purchases reduce uncertainty and support financial conditions, encouraging spending and investment.&lt;br /&gt;
&lt;br /&gt;
The central bank creates money to pay for the assets, expanding its balance sheet and the reserves held by banks. Unlike conventional policy, which sets a short-term rate, quantitative easing affects the term structure of interest rates and the quantity of reserves, working through changes in the composition of private portfolios.&lt;br /&gt;
&lt;br /&gt;
== Uses and experience ==&lt;br /&gt;
&lt;br /&gt;
Quantitative easing was used on a large scale after the global financial crisis of 2008, when policy rates reached near zero in several major economies. Central banks in the United States, the euro area, the United Kingdom, and Japan purchased large volumes of government and private securities, expanding their balance sheets substantially. The policy was credited with supporting recovery, averting deflation, and stabilising financial markets, though its precise effects remain debated.&lt;br /&gt;
&lt;br /&gt;
It was used again during the pandemic recession of 2020, when central banks deployed large-scale asset purchases to stabilise markets and support the recovery. The experience reinforced the view that asset purchases can be effective in severe downturns but also raised concerns about side effects, including the distortion of asset prices, the distributional effects of rising asset values, and the challenges of exiting the policy.&lt;br /&gt;
&lt;br /&gt;
== Effects and debates ==&lt;br /&gt;
&lt;br /&gt;
Supporters argue that quantitative easing reduces borrowing costs, supports asset prices and credit conditions, and prevents deflationary spirals, providing stimulus when conventional policy is exhausted. They point to evidence that the policy lowered long-term yields and supported output and inflation, though with diminishing returns as purchases accumulated.&lt;br /&gt;
&lt;br /&gt;
Critics raise several concerns. Quantitative easing may inflate asset prices, benefiting wealthy asset holders and increasing inequality. It may distort market signals and encourage excessive risk-taking, contributing to financial fragility. It can blur the line between monetary and fiscal policy, particularly when central banks purchase large volumes of government debt, raising concerns about fiscal dominance. Exit from quantitative easing can be disruptive, as reducing the balance sheet may tighten conditions unexpectedly.&lt;br /&gt;
&lt;br /&gt;
== Unconventional policy and the future ==&lt;br /&gt;
&lt;br /&gt;
Quantitative easing is one of a set of unconventional monetary policy tools that also include forward guidance, negative policy rates, and yield curve control. The experience has led to a richer understanding of the monetary transmission mechanism and of the constraints on policy at the zero lower bound. It has also prompted debate about the appropriate framework for monetary policy, including the role of fiscal policy and coordination between fiscal and monetary authorities.&lt;br /&gt;
&lt;br /&gt;
Looking ahead, central banks face the challenge of normalising policy, which may involve raising rates, reducing balance sheets, and communicating the path of policy clearly. The design of exit strategies, and the lessons drawn from the use of quantitative easing, will shape the conduct of monetary policy in future downturns and inform the debate about the limits of what monetary policy can achieve.&lt;br /&gt;
&lt;br /&gt;
== Transmission and effectiveness ==&lt;br /&gt;
&lt;br /&gt;
The effectiveness of quantitative easing depends on the channels through which it operates and on the state of the economy. In stressed markets, purchases can restore functioning by providing liquidity and reducing illiquidity premia, with large effects. In calmer markets, the effects work mainly through portfolio balance and signalling, and they may be smaller and subject to diminishing returns as the central bank&#039;s balance sheet grows.&lt;br /&gt;
&lt;br /&gt;
Empirical estimates of the effects vary, with studies finding that asset purchases lowered long-term yields by amounts ranging from modest to substantial, depending on the programme and the methodology. Estimated effects on output and inflation are subject to considerable uncertainty. The evidence suggests that quantitative easing is more effective when it is announced clearly, when it is large relative to the market, and when it is accompanied by forward guidance about the path of policy.&lt;br /&gt;
&lt;br /&gt;
== Side effects and risks ==&lt;br /&gt;
&lt;br /&gt;
Quantitative easing can have side effects. It may inflate asset prices, benefiting asset holders and potentially increasing inequality, though the counterfactual of not acting may involve worse outcomes for employment and incomes. It can encourage excessive risk-taking and the search for yield, contributing to financial vulnerabilities. It may distort market functioning if the central bank becomes a dominant holder of certain securities, and it can blur the distinction between monetary and fiscal policy.&lt;br /&gt;
&lt;br /&gt;
Exit from quantitative easing also carries risks. Reducing the balance sheet can tighten financial conditions unexpectedly, and the timing and pace of exit must be carefully managed and communicated. Unwinding large asset holdings may prove difficult, particularly for less liquid securities, and the central bank may face losses if it sells assets at prices below purchase cost. These considerations have led central banks to develop frameworks for normalisation and to study the effects of past episodes of balance-sheet reduction.&lt;br /&gt;
&lt;br /&gt;
== Implications for the policy framework ==&lt;br /&gt;
&lt;br /&gt;
The experience with quantitative easing has implications for the design of monetary policy frameworks. It suggests that the effective lower bound on policy rates is not a hard constraint when asset purchases are available, but also that unconventional tools have limits and costs. This has prompted debate about the appropriate inflation target, the role of fiscal policy in stabilisation, and the coordination between monetary and fiscal authorities.&lt;br /&gt;
&lt;br /&gt;
It has also highlighted the importance of clear communication and of credible frameworks for managing the central bank&#039;s balance sheet. The lessons drawn from the use of quantitative easing will shape the response to future downturns and inform the ongoing debate about the limits of monetary policy and the appropriate division of labour among policy instruments.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Monetary Policy]]&lt;br /&gt;
* [[Central Bank]]&lt;br /&gt;
* [[Interest Rate]]&lt;br /&gt;
* [[Forward Guidance]]&lt;br /&gt;
* [[Inflation]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Central bank documentation on asset purchase programmes.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;Bank for International Settlements research on unconventional monetary policy.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;International Monetary Fund analyses of monetary policy transmission.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;OECD work on monetary policy and financial stability.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Progressive_Tax&amp;diff=216</id>
		<title>Progressive Tax</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Progressive_Tax&amp;diff=216"/>
		<updated>2026-10-06T04:45:51Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Progressive Tax&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;A &#039;&#039;&#039;progressive tax&#039;&#039;&#039; is a tax in which the average tax rate increases as the taxable amount increases, so that higher-income individuals pay a larger share of their income in tax than lower-income individuals. Progressivity is a key feature of many personal income tax systems and is justified on grounds of vertical equity and the ability-to-pay principle. It is contrasted with proportional and regressive taxes.&lt;br /&gt;
&lt;br /&gt;
== Measurement ==&lt;br /&gt;
&lt;br /&gt;
Progressivity can be measured in several ways. The average tax rate, the ratio of tax paid to income, rises with income under a progressive system. The marginal tax rate, the tax on an additional unit of income, exceeds the average rate, and it determines the incentive effects at the margin. The structure of marginal rates, called the rate schedule, may be graduated, with rates rising in steps, or continuous.&lt;br /&gt;
&lt;br /&gt;
Summary measures of progressivity include the Kakwani index, which compares the concentration of tax payments with the distribution of income, and the Reynolds-Smolensky index, which measures the redistributive effect of the tax system. These measures allow comparisons across countries and over time, though they depend on the definition of income and on the treatment of transfers.&lt;br /&gt;
&lt;br /&gt;
== Design features ==&lt;br /&gt;
&lt;br /&gt;
Progressive tax systems typically combine several features. A personal allowance or basic deduction exempts a threshold of income from tax, raising progressivity at the bottom. Graduated marginal rates apply higher rates to higher brackets of income. Credits and deductions may further differentiate treatment by family circumstances, housing, or other characteristics. Capital income may be taxed at different rates, often lower than labour income, which can reduce overall progressivity.&lt;br /&gt;
&lt;br /&gt;
The design of these features involves trade-offs. Higher top rates raise revenue and increase progressivity but may discourage work, saving, and entrepreneurship, and may encourage tax avoidance. A broad base with moderate rates is often recommended to raise revenue efficiently, but it may be less progressive than a narrow base with high rates. The optimal design depends on the objectives of the tax system and on behavioural responses.&lt;br /&gt;
&lt;br /&gt;
== Justifications ==&lt;br /&gt;
&lt;br /&gt;
Progressive taxation is justified on several grounds. The ability-to-pay principle holds that those with greater capacity to pay should contribute more. The diminishing marginal utility of income suggests that an additional dollar is worth less to a rich person than to a poor person, so that redistributing income through progressive taxes can raise total welfare, under certain assumptions. Vertical equity holds that unequal treatment of unequals is fair.&lt;br /&gt;
&lt;br /&gt;
Progressive taxes also serve redistributive objectives, reducing inequality and funding transfers and public services that benefit lower-income households. Empirical research finds that progressive taxes and transfers substantially reduce measured inequality in most advanced economies, with the tax system and the transfer system together playing a larger role than either alone.&lt;br /&gt;
&lt;br /&gt;
== Criticisms and debates ==&lt;br /&gt;
&lt;br /&gt;
Critics of progressive taxation argue that high marginal rates reduce incentives to work, invest, and innovate, potentially reducing growth. They point to the distortionary effects of high rates and to the potential for tax avoidance and emigration of high earners. Some argue that consumption taxes, which are typically regressive, are more efficient, and that redistribution, if desired, is better achieved through the spending side of the budget.&lt;br /&gt;
&lt;br /&gt;
The empirical evidence on the growth effects of progressive taxation is mixed. The relationship between tax rates and economic performance depends on the structure of the tax system, on the use of revenue, and on the responsiveness of taxpayers. Modern analysis emphasises that the appropriate degree of progressivity depends on society&#039;s preferences for redistribution and on the efficiency costs of taxation, and that these trade-offs should be assessed with evidence rather than assumption.&lt;br /&gt;
&lt;br /&gt;
== The rate schedule and effective progressivity ==&lt;br /&gt;
&lt;br /&gt;
The statutory rate schedule is only one determinant of actual progressivity. Deductions, exemptions, and credits shape the effective rate schedule, and the interaction of these provisions with the tax base determines how much tax different households pay. Broad deductions, such as those for mortgage interest or charitable contributions, tend to benefit higher-income households more, reducing effective progressivity. Refundable credits targeted at low-income households increase progressivity.&lt;br /&gt;
&lt;br /&gt;
Effective progressivity also depends on the treatment of different income sources. If capital income is taxed at lower rates than labour income, the overall system is less progressive than the statutory rate schedule suggests, particularly since capital income is concentrated among higher-income households. The balance between taxing labour and capital is a central issue in tax design.&lt;br /&gt;
&lt;br /&gt;
== The tax mix ==&lt;br /&gt;
&lt;br /&gt;
Overall progressivity depends on the whole tax system, not just the personal income tax. Consumption taxes, such as value-added taxes, are typically regressive relative to current income, though they may be proportional or progressive relative to lifetime income. Property taxes and wealth taxes can be progressive. Payroll taxes are often proportional or regressive.&lt;br /&gt;
&lt;br /&gt;
The progressivity of the overall system therefore reflects the mix of taxes and the composition of revenue. Countries with broad consumption taxes and limited income taxation tend to have less progressive systems, while those with progressive income taxes and transfers have more. The design of the overall mix, and the use of revenue from different sources, determines the redistributive effect.&lt;br /&gt;
&lt;br /&gt;
== Redistribution and growth ==&lt;br /&gt;
&lt;br /&gt;
The relationship between progressive taxation and growth is a longstanding subject of debate. Theory suggests that high marginal rates can reduce incentives to work, save, and invest, but the magnitude of these effects is contested. Empirical research finds that the growth effects of progressivity depend on the specific design, the level of rates, and the use of revenue, and that modest progressivity is unlikely to impose large efficiency costs.&lt;br /&gt;
&lt;br /&gt;
The redistributive effect of progressive taxes can also support growth, by funding education and health investments that raise human capital, and by reducing inequality that can undermine social cohesion and political stability. The optimal degree of progressivity therefore depends on society&#039;s preferences for redistribution and on the efficiency costs of taxation, and it must be assessed with evidence on behavioural responses and on the use of revenue.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Taxation]]&lt;br /&gt;
* [[Tax Incidence]]&lt;br /&gt;
* [[Income Redistribution]]&lt;br /&gt;
* [[Marginal Tax Rate]]&lt;br /&gt;
* [[Ability to Pay]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Public economics texts on tax design and progressivity.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;OECD &#039;&#039;Taxing Wages&#039;&#039; and tax policy analyses.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;International Monetary Fund research on tax systems.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Journal literature on optimal income taxation.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Producer_Surplus&amp;diff=215</id>
		<title>Producer Surplus</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Producer_Surplus&amp;diff=215"/>
		<updated>2026-10-06T04:45:49Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Producer Surplus&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Producer surplus&#039;&#039;&#039; is the difference between the amount a producer receives for a good and the minimum amount the producer would be willing to accept for it. It measures the benefit producers obtain from participating in the market, over and above the cost of production. Together with consumer surplus, producer surplus constitutes the total surplus, or welfare, generated by a market, and provides a framework for evaluating the effects of policies and market conditions.&lt;br /&gt;
&lt;br /&gt;
== Definition ==&lt;br /&gt;
&lt;br /&gt;
For an individual producer, surplus is the difference between the price received and the marginal cost of the unit produced. For the market as a whole, producer surplus is the area above the supply curve and below the price, up to the quantity traded. It equals the sum of the differences between price and marginal cost for all units produced.&lt;br /&gt;
&lt;br /&gt;
The supply curve reflects the marginal cost of production, since firms produce additional units only if the price covers the marginal cost. Producer surplus therefore measures the amount by which total revenue exceeds the total variable cost of production, which is a form of profit, though it excludes fixed costs. In the long run, with free entry and exit, producer surplus may be dissipated by entry, as new firms drive the price down to minimum average cost.&lt;br /&gt;
&lt;br /&gt;
== Relation to consumer surplus ==&lt;br /&gt;
&lt;br /&gt;
Total surplus is the sum of consumer surplus and producer surplus. In a competitive equilibrium, total surplus is maximised, subject to the conditions of perfect competition. Any distortion that reduces the quantity traded below the equilibrium level reduces total surplus, generating a deadweight loss. Taxes, subsidies, price controls, and market power all reduce total surplus, though they may redistribute surplus between consumers, producers, and the government.&lt;br /&gt;
&lt;br /&gt;
The division of surplus between consumers and producers depends on the relative elasticities of demand and supply. The more elastic side of the market bears less of the burden of a tax or captures less of a subsidy, because it can more easily avoid the transaction. This principle, known as the incidence of a tax or subsidy, is central to the analysis of policy effects.&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
Producer surplus is used to evaluate policies. A tariff raises the domestic price, increasing producer surplus for domestic producers and generating revenue for the government, while reducing consumer surplus and creating a deadweight loss. A price floor raises producer surplus for those who sell but creates a surplus and reduces total welfare. A subsidy increases both consumer and producer surplus but costs the government, with the net welfare effect depending on the size of the deadweight loss created by the additional output.&lt;br /&gt;
&lt;br /&gt;
In cost-benefit analysis, producer surplus is one component of the benefits and costs of a project or policy. It is also used in competition policy, where the loss of consumer surplus from market power is weighed against the gains to producers, and in trade policy, where the effects on domestic producers and consumers are assessed.&lt;br /&gt;
&lt;br /&gt;
== Measurement and limitations ==&lt;br /&gt;
&lt;br /&gt;
Measuring producer surplus requires estimating the supply curve, which is difficult because marginal costs are not directly observable. In practice, analysts use accounting costs and econometric estimates to approximate the supply curve. The resulting estimates are subject to uncertainty.&lt;br /&gt;
&lt;br /&gt;
The concept also has limitations. It assumes that the supply curve reflects marginal cost and that producers are price takers, which may not hold in markets with market power. It focuses on monetary returns and ignores non-monetary benefits and costs, such as environmental effects and working conditions. These factors must be accounted for separately when evaluating welfare. Despite these limitations, producer surplus remains a central tool for understanding how markets distribute the gains from trade and how policies affect different groups.&lt;br /&gt;
&lt;br /&gt;
== Producer surplus and profits ==&lt;br /&gt;
&lt;br /&gt;
Producer surplus is related to profit but not identical to it. Producer surplus equals revenue minus variable costs, while profit equals revenue minus all costs, including fixed costs. In the short run, when fixed costs are sunk, producer surplus can be positive even if profit is negative, and firms may continue to operate as long as producer surplus covers the fixed costs that cannot be avoided or as long as it is positive in the very short run. In the long run, entry and exit drive profit to normal levels, and producer surplus may be competed away.&lt;br /&gt;
&lt;br /&gt;
The distinction matters for analysing firm behaviour. A firm will continue to produce in the short run as long as price exceeds average variable cost, even if it is making losses, because it is covering its variable costs and contributing to fixed costs. If price falls below average variable cost, the firm shuts down. This shutdown condition follows directly from the analysis of producer surplus.&lt;br /&gt;
&lt;br /&gt;
== Producer surplus in policy analysis ==&lt;br /&gt;
&lt;br /&gt;
Producer surplus is a key component of welfare analysis in policy evaluation. In trade policy, tariffs transfer surplus from consumers to producers and to the government, with a net loss. In agricultural policy, price supports raise producer surplus but create surpluses whose disposal costs reduce net welfare. In environmental policy, regulations that raise costs reduce producer surplus, and the distributional effects across firms depend on their cost structures.&lt;br /&gt;
&lt;br /&gt;
Analysts use producer surplus to estimate the incidence of taxes and subsidies, since the division of the burden between consumers and producers depends on the relative elasticities of supply and demand. This analysis informs policy design, for example in choosing between taxes on goods with inelastic supply and demand, which generate revenue with smaller distortions, and other instruments.&lt;br /&gt;
&lt;br /&gt;
== Dynamic considerations ==&lt;br /&gt;
&lt;br /&gt;
In dynamic settings, producer surplus is affected by investment and innovation. Firms invest in new capacity when they expect to earn surplus that covers the cost of capital. Policies that reduce expected surplus, such as price caps or windfall taxes, can deter investment, a consideration that features in the design of regulation and of resource taxation. Conversely, policies that increase expected returns, such as guarantees or subsidies, can stimulate investment but may create excess capacity or rents.&lt;br /&gt;
&lt;br /&gt;
The measurement of producer surplus over time therefore requires attention to investment and to the dynamics of entry and exit. Static measures may understate or overstate the effects of policy, depending on how they affect the timing and scale of investment. Good policy analysis accounts for these dynamic effects and for the uncertainty that surrounds them.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Consumer Surplus]]&lt;br /&gt;
* [[Total Surplus]]&lt;br /&gt;
* [[Deadweight Loss]]&lt;br /&gt;
* [[Tax Incidence]]&lt;br /&gt;
* [[Supply and Demand]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Microeconomics texts on welfare analysis.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;Public economics literature on tax incidence and policy evaluation.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;OECD guidance on cost-benefit analysis.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Journal literature on market welfare measurement.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Principal-Agent_Problem&amp;diff=214</id>
		<title>Principal-Agent Problem</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Principal-Agent_Problem&amp;diff=214"/>
		<updated>2026-10-06T04:45:48Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Principal-Agent Problem&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The &#039;&#039;&#039;principal-agent problem&#039;&#039;&#039; arises when one party, the principal, delegates authority or tasks to another party, the agent, whose interests may differ from those of the principal and whose actions are difficult or costly to observe. The problem is a form of post-contractual information asymmetry and is pervasive in economics and management, appearing in employment relationships, corporate governance, insurance, and public administration.&lt;br /&gt;
&lt;br /&gt;
== Nature of the problem ==&lt;br /&gt;
&lt;br /&gt;
The principal-agent problem has two components: adverse selection and moral hazard. Adverse selection arises before the contract, when the principal cannot fully observe the agent&#039;s type or ability. Moral hazard arises after the contract, when the agent can take actions that affect the principal&#039;s payoff but that the principal cannot observe or verify. Together, they create a risk that the agent will act in ways that serve their own interests at the expense of the principal.&lt;br /&gt;
&lt;br /&gt;
The problem arises from three conditions: divergent objectives, information asymmetry, and the difficulty of writing and enforcing complete contracts. If objectives aligned perfectly, or if the principal could observe and verify all relevant actions, there would be no problem. In practice, both conditions fail, creating a need for incentive design and monitoring.&lt;br /&gt;
&lt;br /&gt;
== Examples ==&lt;br /&gt;
&lt;br /&gt;
The problem appears in many settings. In corporate governance, shareholders (principals) delegate to managers (agents), whose interests may include prestige, security, and compensation rather than shareholder value. In employment, employers (principals) delegate to workers (agents), whose effort may be unobservable. In insurance, insurers (principals) contract with policyholders (agents), whose care may be unobservable. In public administration, citizens (principals) delegate to officials (agents), whose performance may be difficult to assess.&lt;br /&gt;
&lt;br /&gt;
Each setting has its own information structure and its own set of solutions. The design of incentives must account for the specific objectives, the observability of actions, and the risk preferences of the parties.&lt;br /&gt;
&lt;br /&gt;
== Solutions ==&lt;br /&gt;
&lt;br /&gt;
Several mechanisms can mitigate the principal-agent problem. &#039;&#039;&#039;Incentive contracts&#039;&#039;&#039; link the agent&#039;s compensation to outcomes that the principal cares about, aligning interests. &#039;&#039;&#039;Monitoring and reporting&#039;&#039;&#039; reduce information asymmetry, though they are costly. &#039;&#039;&#039;Signalling and screening&#039;&#039;&#039; help to reveal the agent&#039;s type before contracting. &#039;&#039;&#039;Reputation and repeated interaction&#039;&#039;&#039; create incentives for good performance, since the agent values future relationships. &#039;&#039;&#039;Governance mechanisms&#039;&#039;&#039;, including boards and auditors, provide oversight.&lt;br /&gt;
&lt;br /&gt;
Each solution involves trade-offs. Incentive contracts expose the agent to risk, which requires a risk premium and may distort behaviour. Monitoring is costly and may be imperfect. Reputation is valuable only if the relationship is long-term and information flows freely. The optimal design balances the costs of incentives and monitoring against the benefits of improved alignment.&lt;br /&gt;
&lt;br /&gt;
== Applications and implications ==&lt;br /&gt;
&lt;br /&gt;
The principal-agent framework is used to analyse executive compensation, the design of regulation, the structure of organisations, and the provision of public services. It informs debates about whether executives are overpaid, whether performance pay improves outcomes, and how to design contracts for public-private partnerships. It also underpins the analysis of agency costs in corporate finance, where agency problems reduce firm value and motivate governance reforms.&lt;br /&gt;
&lt;br /&gt;
The framework has been extended to settings with multiple principals and agents, with teams, and with multidimensional tasks, generating additional insights. It remains a powerful tool for understanding how institutions and contracts shape behaviour, and for designing arrangements that align incentives with desired outcomes, while recognising the limits imposed by information and by the costs of contracting.&lt;br /&gt;
&lt;br /&gt;
== Agency costs and corporate finance ==&lt;br /&gt;
&lt;br /&gt;
Agency costs arise from conflicts of interest between principals and agents and from the measures taken to mitigate them. In corporate finance, agency costs include the costs of monitoring managers, of bonding managers&#039; behaviour through contracts, and of the residual loss when managers&#039; decisions diverge from shareholders&#039; interests. These costs reduce firm value and are a central concern of corporate governance.&lt;br /&gt;
&lt;br /&gt;
Agency problems between shareholders and creditors also matter. Shareholders may favour risky projects that benefit them at the expense of creditors, and they may underinvest when the benefits accrue to creditors. Debt covenants, collateral, and monitoring are used to limit these conflicts. Understanding agency costs helps to explain capital structure choices and the design of financial contracts.&lt;br /&gt;
&lt;br /&gt;
== Incentive design ==&lt;br /&gt;
&lt;br /&gt;
Designing incentives to align agents&#039; interests with those of principals is a central task of contract theory. Optimal contracts balance the benefits of stronger incentives against the costs of imposing risk on the agent, who is typically risk averse. The result is a trade-off between insurance and incentives, and the optimal contract may involve a combination of fixed pay, performance pay, and monitoring.&lt;br /&gt;
&lt;br /&gt;
Performance measures should be chosen to reflect the principal&#039;s objectives and to be robust to manipulation. Multitasking creates additional challenges, since incentives tied to one dimension may lead agents to neglect others. The design of contracts therefore requires careful consideration of what is measured, how it is measured, and how it affects behaviour.&lt;br /&gt;
&lt;br /&gt;
== Public sector applications ==&lt;br /&gt;
&lt;br /&gt;
The principal-agent framework applies to public sector management, where citizens are principals, politicians are agents, and bureaucrats are further agents. Problems of accountability, performance measurement, and incentives are pervasive. Reforms such as performance budgeting, civil service pay reform, and transparency initiatives aim to align incentives and improve public sector performance, with mixed results.&lt;br /&gt;
&lt;br /&gt;
The framework also applies to the regulation of firms, where regulators act as principals and firms as agents. Information asymmetries mean that regulators cannot observe all relevant behaviour, and the design of regulation must account for firms&#039; incentives to hide information or to game the rules. This insight has informed the shift toward incentive regulation, which rewards firms for meeting performance targets rather than prescribing specific behaviours.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Asymmetric Information]]&lt;br /&gt;
* [[Moral Hazard]]&lt;br /&gt;
* [[Adverse Selection]]&lt;br /&gt;
* [[Corporate Governance]]&lt;br /&gt;
* [[Incentive Contract]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Economics of information literature on agency theory.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;Corporate governance research on executive incentives.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;OECD work on governance and regulation.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Journal literature on contract design and incentives.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Price_Ceiling&amp;diff=213</id>
		<title>Price Ceiling</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Price_Ceiling&amp;diff=213"/>
		<updated>2026-10-06T04:45:47Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Price Ceiling&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;A &#039;&#039;&#039;price ceiling&#039;&#039;&#039; is a maximum price set by government or another authority above which a good, service, or factor cannot be sold. Price ceilings are a form of price control and are used to protect consumers, to limit the cost of essential goods, or to address perceived unfairness in pricing. When set below the equilibrium price, a ceiling creates a shortage, because the quantity demanded exceeds the quantity supplied, and the market cannot clear through price adjustment.&lt;br /&gt;
&lt;br /&gt;
== Mechanism ==&lt;br /&gt;
&lt;br /&gt;
When a price ceiling is set below the equilibrium price, demand exceeds supply. Sellers cannot raise prices to ration the available supply, so other allocation mechanisms emerge. Queues, waiting lists, lotteries, rationing coupons, and informal or black markets may develop. Some consumers who would be willing to pay more cannot obtain the good, while others obtain it at the controlled price. The shortage persists as long as the ceiling remains binding.&lt;br /&gt;
&lt;br /&gt;
The shortage imposes costs. Time and effort spent queuing are real resource costs, and black markets may emerge, often at prices above the ceiling, undermining the policy. Quality may also deteriorate, as sellers cut costs to maintain profitability at the controlled price, a phenomenon observed in rent-controlled housing and in some regulated services.&lt;br /&gt;
&lt;br /&gt;
== Examples ==&lt;br /&gt;
&lt;br /&gt;
Price ceilings are common in housing, energy, and financial markets. Rent control limits the rent landlords may charge, intended to protect tenants from rapid increases. Energy price caps limit the price of electricity, gas, or fuel, intended to protect households from price spikes. Interest-rate ceilings, known as usury laws, limit the rates lenders may charge, intended to protect borrowers from exploitation.&lt;br /&gt;
&lt;br /&gt;
In each case, the policy has benefits for those who obtain the good at the controlled price but creates shortages, reduces supply, and can harm the very groups it is intended to help, by reducing the availability of housing, energy, or credit. The long-run effects differ from the short-run effects, as supply adjusts to the lower returns.&lt;br /&gt;
&lt;br /&gt;
== Welfare effects ==&lt;br /&gt;
&lt;br /&gt;
Price ceilings generate deadweight loss. The reduction in quantity supplied below the efficient level eliminates mutually beneficial transactions. Consumers who obtain the good at the controlled price gain, and some consumers who would not have bought at the higher price now purchase, but the gains are offset by the losses to consumers who cannot obtain the good and by the losses to producers.&lt;br /&gt;
&lt;br /&gt;
The distributional effects depend on who is rationed and on the alternative allocation mechanisms. If the good is rationed by queuing, those with time to spare benefit; if by lottery, the allocation is random; if by favouritism or corruption, those with connections benefit. The incidence of the shortage is often regressive, falling hardest on those with the least ability to navigate alternative mechanisms.&lt;br /&gt;
&lt;br /&gt;
== Policy considerations ==&lt;br /&gt;
&lt;br /&gt;
Price ceilings are used when the objective is to protect consumers from high prices, particularly for essential goods, and when the alternative of direct transfers is unavailable or insufficient. Economists often prefer direct transfers, such as targeted subsidies or income support, because they protect the vulnerable without distorting prices and quantities, and because they preserve the incentives for supply to respond to demand.&lt;br /&gt;
&lt;br /&gt;
In practice, price ceilings may be justified as temporary measures during emergencies or during periods of extreme market disruption, when supply cannot adjust quickly and when the distributional consequences of high prices are severe. The design and duration of the measure, and the accompanying policies to support supply, determine whether the costs outweigh the benefits. Permanent ceilings tend to create persistent shortages and to require increasingly costly complementary measures.&lt;br /&gt;
&lt;br /&gt;
== Rent control ==&lt;br /&gt;
&lt;br /&gt;
Rent control is among the most studied price ceilings. It takes various forms, from strict controls that fix rents at a low level to softer measures that limit increases. Strict rent control tends to reduce the supply and quality of rental housing, as landlords convert units to other uses, defer maintenance, and reduce new construction. Over time, shortages develop, and rationing occurs through queuing, personal connections, or informal arrangements.&lt;br /&gt;
&lt;br /&gt;
The distributional effects are complex. Tenants who secure rent-controlled units benefit substantially, particularly long-term tenants in desirable locations, but these benefits often accrue to higher-income households rather than to the poorest. Would-be tenants who cannot find housing are harmed, and the reduction in supply raises rents in the uncontrolled segment of the market. These effects have led many economists to favour targeted housing assistance over rent control, though political support for controls remains strong in some jurisdictions.&lt;br /&gt;
&lt;br /&gt;
== Energy price caps ==&lt;br /&gt;
&lt;br /&gt;
Energy price caps have been used during periods of sharp price increases to protect households and businesses. They reduce the immediate impact of higher energy costs, but they also reduce the incentive to conserve energy and can distort investment in supply. Fiscal costs can be substantial, and the measures may be poorly targeted, benefiting high-income households as much as low-income ones.&lt;br /&gt;
&lt;br /&gt;
Well-designed support for energy affordability targets vulnerable households through direct transfers while allowing prices to reflect costs, preserving incentives for efficiency and investment. The challenge is to design measures that protect the vulnerable without undermining the supply response, and to communicate the rationale clearly. Temporary and targeted measures are generally preferable to broad and permanent caps.&lt;br /&gt;
&lt;br /&gt;
== Financial repression ==&lt;br /&gt;
&lt;br /&gt;
Interest-rate ceilings, or usury laws, limit the rates that lenders may charge. They are intended to protect borrowers from high rates but can reduce the availability of credit, particularly for higher-risk borrowers, who may be rationed out of the formal market and driven to informal or illegal lenders. Access to credit may fall, and the quality of intermediation may deteriorate.&lt;br /&gt;
&lt;br /&gt;
Financial repression, including interest-rate ceilings and directed credit, was common in developing countries and was associated with weak financial development. Liberalisation has generally improved access and efficiency, though it has also brought risks, and the sequencing of reform matters. The design of consumer credit regulation seeks to protect borrowers without unduly restricting access, a balance that requires careful calibration and monitoring.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Price Floor]]&lt;br /&gt;
* [[Deadweight Loss]]&lt;br /&gt;
* [[Rent Control]]&lt;br /&gt;
* [[Price Controls]]&lt;br /&gt;
* [[Shortage]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Public economics texts on price controls.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;OECD analyses of energy and housing market regulation.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;World Bank research on subsidies and price policy.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Journal literature on the effects of price ceilings.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Price_Floor&amp;diff=212</id>
		<title>Price Floor</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Price_Floor&amp;diff=212"/>
		<updated>2026-10-06T04:45:46Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Price Floor&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;A &#039;&#039;&#039;price floor&#039;&#039;&#039; is a minimum price set by government or another authority below which a good, service, or factor cannot be sold. Price floors are a form of price control and are used to support the incomes of producers, to protect workers, or to achieve other objectives. When set above the equilibrium price, a floor creates a surplus, because the quantity supplied exceeds the quantity demanded. The resulting surplus must be managed through purchases, quotas, or other measures.&lt;br /&gt;
&lt;br /&gt;
== Mechanism ==&lt;br /&gt;
&lt;br /&gt;
When a price floor is set above the equilibrium price, the market cannot clear. Quantity supplied exceeds quantity demanded, creating a surplus. Producers who can sell at the floor price receive more than they would in an unregulated market, but some producers are unable to sell their output at all. Consumers pay a higher price and purchase less, losing consumer surplus, and some are unable to obtain the good.&lt;br /&gt;
&lt;br /&gt;
The surplus created by a price floor must be dealt with. In agricultural markets, governments may purchase the surplus and store it, dispose of it, or export it with subsidies, all of which involve fiscal costs. Alternatively, governments may restrict production through quotas to prevent the surplus from arising. The choice of mechanism affects the cost and the distributional consequences of the policy.&lt;br /&gt;
&lt;br /&gt;
== Examples ==&lt;br /&gt;
&lt;br /&gt;
The most familiar examples are agricultural price supports and minimum wages. Agricultural supports, such as guaranteed minimum prices for crops, raise farm incomes but generate surpluses that must be managed. Minimum wages set a floor on the price of labour; if set above the market-clearing wage, they may create unemployment, though the effect depends on the competitiveness of the labour market. In monopsonistic labour markets, a minimum wage can raise both wages and employment.&lt;br /&gt;
&lt;br /&gt;
Price floors also appear in other contexts. Rent controls, where they set minimum rents for landlords, are a form of price floor, though they are more commonly discussed as price ceilings on tenants. Minimum prices for alcohol or tobacco are used to discourage consumption and to limit below-cost selling. Resale price maintenance, in which manufacturers set minimum retail prices, has similar effects.&lt;br /&gt;
&lt;br /&gt;
== Welfare effects ==&lt;br /&gt;
&lt;br /&gt;
Price floors generate deadweight loss. The reduction in quantity traded below the efficient level eliminates mutually beneficial transactions. The surplus, if it is destroyed or purchased at a cost, adds to the social loss. The transfer from consumers to producers is a redistribution rather than a net loss, but the efficiency cost is borne by society as a whole.&lt;br /&gt;
&lt;br /&gt;
The distributional effects depend on who is covered and on the elasticity of supply and demand. Producers with lower costs gain more from a floor, while high-cost producers may be harmed if they cannot sell. Consumers of the affected good lose, and if the good is an input, the cost increases pass through to downstream users. The net welfare effect is usually negative, though the policy may be justified on distributional or other grounds.&lt;br /&gt;
&lt;br /&gt;
== Policy considerations ==&lt;br /&gt;
&lt;br /&gt;
Price floors are used when the objective is to support incomes or to protect vulnerable groups, and when other instruments, such as direct transfers, are unavailable or politically infeasible. Economists often prefer direct transfers over price floors, because transfers can achieve distributional objectives without distorting prices and quantities, and because they are more transparent in their fiscal cost and more precisely targeted.&lt;br /&gt;
&lt;br /&gt;
In practice, price floors are often combined with other measures. Agricultural policies may combine price supports with quotas, set-asides, and direct payments. Minimum wages may be combined with tax credits and training programmes to offset potential employment effects. The design of these packages determines the overall cost and effectiveness of the policy.&lt;br /&gt;
&lt;br /&gt;
== Minimum wages and employment ==&lt;br /&gt;
&lt;br /&gt;
The minimum wage is the most studied price floor. In a competitive labour market, a minimum wage set above the equilibrium wage would reduce employment, as firms hire fewer workers. In practice, the employment effects have been found to be small or, in some studies, positive, particularly for modest increases. Explanations include monopsony power in labour markets, which allows a minimum wage to raise both wages and employment, and efficiency wage considerations.&lt;br /&gt;
&lt;br /&gt;
The evidence on minimum wages has evolved, with recent studies using natural experiments and administrative data finding limited disemployment effects in many settings. The effects depend on the level of the minimum wage relative to the median, the characteristics of the labour market, and the time horizon. Very high minimum wages relative to productivity are likely to reduce employment, particularly for low-skilled workers.&lt;br /&gt;
&lt;br /&gt;
== Agricultural support ==&lt;br /&gt;
&lt;br /&gt;
Agricultural price floors have been used extensively to support farm incomes. They typically involve guaranteed minimum prices, accompanied by government purchases of surplus production, production quotas, or direct payments. These programmes raise incomes for participating farmers but impose costs on consumers and taxpayers, distort production and trade, and can harm farmers in developing countries by depressing world prices.&lt;br /&gt;
&lt;br /&gt;
Reforms in many countries have shifted support from price floors toward direct payments decoupled from production, which are less distorting. International trade rules discipline agricultural support, and negotiations continue over the appropriate limits and forms of assistance. The experience illustrates the difficulties of supporting incomes without distorting production.&lt;br /&gt;
&lt;br /&gt;
== Design considerations ==&lt;br /&gt;
&lt;br /&gt;
The design of a price floor determines its effects. The level relative to the equilibrium price, the coverage of products or workers, the duration, and the accompanying measures all matter. A floor with a narrow coverage and a modest level has smaller distortions, while a broad and high floor causes larger surpluses and requires more costly complementary measures.&lt;br /&gt;
&lt;br /&gt;
Alternative instruments, such as direct transfers, tax credits, and public investment, can achieve income support objectives with lower efficiency costs. The choice among instruments depends on the objectives, the fiscal cost, and the distributional consequences. Economists generally favour instruments that address the underlying problem directly, such as income support for low-income households, over interventions that distort prices and quantities.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Price Ceiling]]&lt;br /&gt;
* [[Minimum Wage]]&lt;br /&gt;
* [[Deadweight Loss]]&lt;br /&gt;
* [[Agricultural Policy]]&lt;br /&gt;
* [[Price Controls]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Public economics and agricultural economics texts on price supports.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;OECD analyses of agricultural support policies.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;International Labour Organization research on minimum wages.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Journal literature on the effects of price floors.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Price_Discrimination&amp;diff=211</id>
		<title>Price Discrimination</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Price_Discrimination&amp;diff=211"/>
		<updated>2026-10-06T04:45:45Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Price Discrimination&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Price discrimination&#039;&#039;&#039; is the practice of charging different prices to different customers for the same or similar good, when the price differences are not justified by differences in cost. It is a strategy used by firms with market power to capture more consumer surplus and increase profit. Price discrimination is common in practice and is generally lawful when it reflects differences in demand, though it can raise competition concerns in some circumstances.&lt;br /&gt;
&lt;br /&gt;
== Conditions and degrees ==&lt;br /&gt;
&lt;br /&gt;
Price discrimination requires three conditions. The firm must have market power, so that it can set prices above marginal cost. It must be able to identify groups of customers with different price elasticities of demand. It must be able to prevent or limit resale, so that customers who pay a low price cannot arbitrage by selling to those charged a high price.&lt;br /&gt;
&lt;br /&gt;
Economists distinguish three degrees. &#039;&#039;&#039;First-degree&#039;&#039;&#039; or perfect price discrimination charges each customer exactly their maximum willingness to pay, extracting all consumer surplus. &#039;&#039;&#039;Second-degree&#039;&#039;&#039; discrimination charges different prices according to the quantity purchased or the version chosen, as with volume discounts or menu pricing. &#039;&#039;&#039;Third-degree&#039;&#039;&#039; discrimination charges different prices to different identifiable groups, such as students, seniors, or residents.&lt;br /&gt;
&lt;br /&gt;
== Mechanisms and examples ==&lt;br /&gt;
&lt;br /&gt;
Firms implement price discrimination through various mechanisms. Versioning offers different product variants at different prices, allowing customers to self-select. Temporal discrimination charges different prices at different times, as with airline tickets, hotel rooms, and electricity tariffs. Geographic discrimination charges different prices in different locations. Coupons, rebates, and loyalty programmes segment customers by their willingness to search or their loyalty.&lt;br /&gt;
&lt;br /&gt;
Digital markets have expanded the scope for price discrimination, allowing firms to personalise prices based on data about customers&#039; behaviour, preferences, and circumstances. Personalised pricing raises ethical and regulatory questions, particularly when it exploits consumers&#039; limited information or vulnerability.&lt;br /&gt;
&lt;br /&gt;
== Welfare effects ==&lt;br /&gt;
&lt;br /&gt;
The welfare effects of price discrimination are ambiguous. On one hand, discrimination can increase output by serving customers who would not buy at a uniform price, improving efficiency and expanding access. On the other hand, it transfers surplus from consumers to firms and can reduce welfare when it restricts output or when it is used to foreclose competition. The net effect depends on the type of discrimination, market conditions, and the extent of output expansion.&lt;br /&gt;
&lt;br /&gt;
First-degree discrimination extracts all surplus, leaving consumers with no gain from trade, but it can be efficient if output expands to the competitive level. Third-degree discrimination can improve welfare if it increases output in markets with elastic demand, but it can reduce welfare if it restricts output in inelastic markets. The overall effect requires case-by-case analysis.&lt;br /&gt;
&lt;br /&gt;
== Legal and regulatory issues ==&lt;br /&gt;
&lt;br /&gt;
Price discrimination is regulated under competition and consumer protection law. In many jurisdictions, discrimination that harms competition, such as charging different prices to competing retailers in a way that disadvantages some, is prohibited. Discrimination based on protected characteristics, such as race or gender, is unlawful in many contexts. Consumer protection rules address misleading or unfair pricing practices.&lt;br /&gt;
&lt;br /&gt;
Regulators face the challenge of distinguishing between benign discrimination, which reflects differences in cost or demand, and harmful discrimination, which exploits market power or harms competition. The growth of personalised pricing has prompted calls for greater transparency and for limits on the use of personal data for pricing, and it remains an active area of policy debate.&lt;br /&gt;
&lt;br /&gt;
== Price discrimination and market segmentation ==&lt;br /&gt;
&lt;br /&gt;
Successful price discrimination requires effective market segmentation, so that consumers in different segments cannot easily trade with one another. Segments may be defined by observable characteristics, such as age or location, by purchase behaviour, such as timing or volume, or by self-selection, as with product versions. The design of segmentation mechanisms is a key task for firms seeking to capture more surplus.&lt;br /&gt;
&lt;br /&gt;
Segmentation based on self-selection is often preferred, because it avoids the need to identify individuals and can be applied without offending customers. Versioning, in which firms offer different qualities at different prices, allows customers to choose according to their willingness to pay. This approach is widely used in software, airlines, and consumer electronics.&lt;br /&gt;
&lt;br /&gt;
== Price discrimination and competition ==&lt;br /&gt;
&lt;br /&gt;
Price discrimination interacts with competition in complex ways. In competitive markets with differentiated products, firms may use discrimination to target different segments, intensifying competition in some segments and softening it in others. Discrimination can facilitate entry by allowing new firms to serve niche segments, but it can also be used by incumbents to defend their position through targeted pricing and loyalty programmes.&lt;br /&gt;
&lt;br /&gt;
Competition authorities examine price discrimination when it may harm competition or consumers. Practices such as predatory pricing, loyalty rebates, and discriminatory pricing that disadvantages rivals can violate competition law. The assessment is fact-specific, requiring analysis of market power, the effects on competitors, and the impact on consumer welfare.&lt;br /&gt;
&lt;br /&gt;
== Consumer protection and fairness ==&lt;br /&gt;
&lt;br /&gt;
Price discrimination raises consumer protection and fairness concerns, particularly when it is personalised and based on data that consumers cannot easily control. Consumers may be charged more based on their location, device, browsing history, or perceived vulnerability, raising questions about exploitation and transparency. Some jurisdictions require disclosure of personalised pricing or prohibit discrimination based on protected characteristics.&lt;br /&gt;
&lt;br /&gt;
The growth of algorithmic pricing has intensified these concerns, as firms can adjust prices in real time based on vast data. Regulators are developing frameworks to ensure that pricing practices are transparent, non-discriminatory where required, and consistent with consumer protection. Balancing the efficiency benefits of discrimination against fairness and transparency concerns is a central challenge for policy in digital markets.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Market Power]]&lt;br /&gt;
* [[Consumer Surplus]]&lt;br /&gt;
* [[Monopoly]]&lt;br /&gt;
* [[Dynamic Pricing]]&lt;br /&gt;
* [[Competition Policy]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Industrial organisation literature on price discrimination.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;OECD work on personalised pricing and consumer protection.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;Competition authority guidance on discriminatory practices.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Journal literature on welfare effects of pricing strategies.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Portfolio_Investment&amp;diff=210</id>
		<title>Portfolio Investment</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Portfolio_Investment&amp;diff=210"/>
		<updated>2026-10-06T04:45:43Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Portfolio Investment&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Portfolio investment&#039;&#039;&#039; is the acquisition of securities, such as stocks and bonds, in a foreign country without obtaining control or significant influence over the issuer. It is distinguished from foreign direct investment by the absence of a lasting interest and management control. Portfolio investment is a major component of international capital flows and is an important source of financing for both advanced and emerging economies.&lt;br /&gt;
&lt;br /&gt;
== Definition and scope ==&lt;br /&gt;
&lt;br /&gt;
Portfolio investment encompasses investment in equity securities and debt securities. Equity portfolio investment includes shares and mutual fund units that represent less than a threshold, typically ten per cent, of a company&#039;s voting power. Debt portfolio investment includes bonds, notes, and money market instruments issued by governments, banks, and corporations. The classification is based on the degree of control, not on the type of instrument alone.&lt;br /&gt;
&lt;br /&gt;
Portfolio flows are recorded in the financial account of the balance of payments, and positions are recorded in the international investment position. Statistics distinguish between gross and net flows, and between residents and non-residents. The composition of flows, including the split between equity and debt and between short- and long-term instruments, matters for the analysis of vulnerability.&lt;br /&gt;
&lt;br /&gt;
== Characteristics and motivations ==&lt;br /&gt;
&lt;br /&gt;
Portfolio investors seek returns and diversification. They allocate capital across countries to exploit differences in expected returns, to spread risk, and to gain exposure to growth opportunities. Investments may be made by mutual funds, pension funds, insurance companies, sovereign wealth funds, and individual investors. The relative importance of these investors varies across countries and over time.&lt;br /&gt;
&lt;br /&gt;
Portfolio flows respond to differences in interest rates, growth prospects, and risk. They are also influenced by global factors, including the monetary policy of major economies, the supply of global liquidity, and shifts in risk appetite. Because they are liquid and can be reversed quickly, portfolio flows are more volatile than foreign direct investment, and they are closely associated with sudden stops and capital-flow reversals.&lt;br /&gt;
&lt;br /&gt;
== Benefits and risks ==&lt;br /&gt;
&lt;br /&gt;
Portfolio investment provides benefits to recipient countries. It supplements domestic saving, deepens financial markets, and can improve the efficiency of capital allocation. It also imposes discipline on policy, as investors monitor fundamentals and reward sound policy. For investors, portfolio diversification across countries can improve risk-adjusted returns.&lt;br /&gt;
&lt;br /&gt;
Portfolio investment also carries risks. Sudden reversals in flows can cause sharp exchange-rate depreciations, financial instability, and recessions. Countries with large external liabilities in foreign currency, or with weak financial systems, are particularly vulnerable. Portfolio flows can also transmit shocks across countries, contributing to contagion during global crises.&lt;br /&gt;
&lt;br /&gt;
== Policy responses ==&lt;br /&gt;
&lt;br /&gt;
Countries manage the risks of portfolio flows through a combination of policies. Macroeconomic policy can reduce vulnerability by maintaining sound fiscal and monetary positions and adequate reserves. Macroprudential measures, including limits on foreign-currency borrowing and on loan-to-value ratios, can limit the build-up of risk. Capital-flow management measures, including taxes on short-term inflows or minimum stay requirements, can alter the composition of flows toward longer maturities, though their effectiveness varies.&lt;br /&gt;
&lt;br /&gt;
International cooperation can help to manage the spillovers from large flows, and institutions such as the International Monetary Fund provide financing and advice. The design of policies must balance the benefits of integration with the risks of volatility, taking account of a country&#039;s institutional capacity and the depth of its financial markets.&lt;br /&gt;
&lt;br /&gt;
== Portfolio flows and monetary policy spillovers ==&lt;br /&gt;
&lt;br /&gt;
Portfolio flows are strongly influenced by the monetary policy of major economies, particularly the United States, whose interest rates affect global financial conditions. When major central banks tighten, global financial conditions tighten, and portfolio flows to emerging markets often decline, while spreads rise. When they ease, flows tend to increase and spreads to compress. This transmission of policy through financial conditions is a major source of spillovers and a subject of international policy debate.&lt;br /&gt;
&lt;br /&gt;
Emerging economies have limited control over these global factors, which can amplify domestic cycles. During periods of ample global liquidity, inflows can fuel credit booms and asset price increases, while during periods of retrenchment, outflows can force sharp adjustment. Managing these pressures requires a combination of sound domestic policy, adequate reserves, and, in some cases, capital-flow management measures.&lt;br /&gt;
&lt;br /&gt;
== Institutional investors and long-term finance ==&lt;br /&gt;
&lt;br /&gt;
The composition of portfolio investors matters for stability and for the availability of long-term finance. Institutional investors, including pension funds and insurance companies, tend to have longer horizons and more stable funding, making them more reliable sources of financing than short-term investors. Developing the domestic institutional investor base can therefore reduce vulnerability to sudden stops and support long-term investment.&lt;br /&gt;
&lt;br /&gt;
Many emerging economies have sought to develop local currency bond markets and to attract long-term investors, reducing reliance on foreign-currency debt and on volatile flows. These efforts require strong legal and regulatory frameworks, credible macroeconomic policy, and market infrastructure. Progress has been uneven, and the availability of long-term finance remains a constraint in many countries.&lt;br /&gt;
&lt;br /&gt;
== Capital-flow management ==&lt;br /&gt;
&lt;br /&gt;
Capital-flow management measures aim to influence the volume or composition of portfolio flows. They include taxes on inflows, minimum stay requirements, and limits on foreign-currency borrowing. Inflow measures can reduce the share of short-term flows and lengthen maturities, while outflow measures can stem capital flight during stress. The effectiveness of these measures varies, and they are most useful as a complement to, rather than a substitute for, sound macroeconomic policy.&lt;br /&gt;
&lt;br /&gt;
Multilateral institutions have adopted a more accommodating stance toward capital-flow management, recognising that volatile flows can impose costs and that measures can be appropriate under certain conditions. The design of such measures should consider their potential to distort resource allocation and to create incentives for circumvention, and they should be transparent and temporary where possible.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Foreign Direct Investment]]&lt;br /&gt;
* [[Capital Flight]]&lt;br /&gt;
* [[Balance of Payments]]&lt;br /&gt;
* [[Capital Control]]&lt;br /&gt;
* [[Financial Deepening]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;International Monetary Fund, &#039;&#039;Balance of Payments and International Investment Position Manual&#039;&#039;.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;IMF research on capital flows and their management.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;OECD statistics and analysis of international investment.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Bank for International Settlements data on cross-border flows.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Pegged_Exchange_Rate&amp;diff=209</id>
		<title>Pegged Exchange Rate</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Pegged_Exchange_Rate&amp;diff=209"/>
		<updated>2026-10-06T04:45:42Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Pegged Exchange Rate&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;A &#039;&#039;&#039;pegged exchange rate&#039;&#039;&#039; is an exchange-rate regime in which a country&#039;s monetary authority fixes the value of its currency to another currency, to a basket of currencies, or to a commodity such as gold. The peg may be maintained through intervention in the foreign exchange market, through interest-rate policy, or through capital controls. Pegged regimes provide stability for trade and investment but constrain monetary policy and can become vulnerable to speculative attack.&lt;br /&gt;
&lt;br /&gt;
== Types of pegs ==&lt;br /&gt;
&lt;br /&gt;
Pegged regimes vary in their rigidity and mechanism. A &#039;&#039;&#039;hard peg&#039;&#039;&#039; commits irrevocably to a fixed parity, as in a currency board or a currency union, where the domestic money supply is backed by foreign reserves and the central bank forgoes independent monetary policy. A &#039;&#039;&#039;conventional peg&#039;&#039;&#039; fixes the rate but retains some discretion, with the central bank intervening to maintain the parity while adjusting policy as needed. A &#039;&#039;&#039;crawling peg&#039;&#039;&#039; allows the parity to adjust gradually according to a preannounced rule, often to accommodate inflation differentials.&lt;br /&gt;
&lt;br /&gt;
Pegs may be defined against a single currency or against a basket. Baskets reduce vulnerability to movements in any one currency and can better reflect a country&#039;s trade patterns. The choice of anchor affects the transmission of external shocks and the constraints on domestic policy.&lt;br /&gt;
&lt;br /&gt;
== Maintenance and credibility ==&lt;br /&gt;
&lt;br /&gt;
Maintaining a peg requires the central bank to buy or sell foreign exchange to keep the market rate within the target range. If the currency is under pressure, the central bank sells foreign reserves and buys domestic currency, which tightens domestic liquidity and raises interest rates, attracting capital and supporting the currency. This mechanism is automatic under a currency board but requires discretion under other arrangements.&lt;br /&gt;
&lt;br /&gt;
Credibility is essential. If markets believe the peg will hold, they do not bet against it, and the cost of defence is low. If credibility is weak, speculation can overwhelm reserves, leading to a devaluation or a forced abandonment of the peg. Building credibility requires consistent policy, adequate reserves, and sound macroeconomic fundamentals. Pegged regimes that lack credibility are vulnerable to self-fulfilling crises.&lt;br /&gt;
&lt;br /&gt;
== Advantages and disadvantages ==&lt;br /&gt;
&lt;br /&gt;
Pegged rates provide stability for trade and investment by reducing exchange-rate uncertainty, which can promote trade and long-term capital flows, particularly for small open economies with concentrated trade patterns. They also anchor inflation expectations, importing the credibility of the anchor country, which can help to reduce inflation and stabilise prices. For countries emerging from high inflation, a peg can serve as a nominal anchor.&lt;br /&gt;
&lt;br /&gt;
Pegged rates impose costs. They eliminate independent monetary policy, because the central bank must set interest rates to defend the parity rather than to stabilise the domestic economy. This constraint is captured by the trilemma, which holds that a country cannot simultaneously maintain a fixed rate, free capital mobility, and independent monetary policy. Pegged regimes also accumulate imbalances if domestic inflation exceeds that of the anchor country, eroding competitiveness, and they can break abruptly, causing severe disruption.&lt;br /&gt;
&lt;br /&gt;
== Historical experience and crises ==&lt;br /&gt;
&lt;br /&gt;
Pegged regimes have a long history, including the gold standard, the Bretton Woods system, and numerous national pegs. Many emerging-market crises have involved the collapse of a peg, including the European Exchange Rate Mechanism crisis of 1992, the Mexican crisis of 1994, and the Asian financial crisis of 1997. These episodes showed that pegs can be maintained longer than fundamentals suggest but can also break suddenly and with large costs.&lt;br /&gt;
&lt;br /&gt;
The choice of regime remains contentious. Some economists favour pegs for small open economies seeking stability and credibility, while others advocate floating rates for their flexibility and their ability to absorb shocks. Hybrid arrangements, including bands and managed floats, attempt to combine elements of both.&lt;br /&gt;
&lt;br /&gt;
== Pegs and the trilemma in practice ==&lt;br /&gt;
&lt;br /&gt;
The trilemma implies that a country with a pegged exchange rate and open capital markets must give up monetary autonomy. In practice, many countries manage this constraint through partial measures. Some maintain capital controls to preserve some monetary independence, while others accept the loss of autonomy, treating the peg and the associated inflation anchor as more valuable than domestic control over interest rates. Still others maintain formal pegs but adjust them periodically, combining stability with flexibility.&lt;br /&gt;
&lt;br /&gt;
The choice depends on the characteristics of the economy. Small, open economies with concentrated trade patterns often benefit more from the stability of a peg, while larger, more diversified economies may value monetary autonomy more highly. The credibility of the peg and the soundness of domestic policy also matter, since a peg that is not backed by consistent policy is vulnerable to speculative attack.&lt;br /&gt;
&lt;br /&gt;
== Currency boards and monetary unions ==&lt;br /&gt;
&lt;br /&gt;
Currency boards and monetary unions represent the strongest forms of pegging. A currency board issues domestic currency only against foreign reserves at a fixed rate, giving up discretionary monetary policy entirely. This arrangement provides high credibility, since the commitment is institutional rather than discretionary, but it also removes the capacity to act as a lender of last resort, which can increase vulnerability to banking crises. Examples include Hong Kong, China, and Argentina in the 1990s.&lt;br /&gt;
&lt;br /&gt;
A monetary union goes further, sharing a single currency and a single central bank among member states, as in the euro area. Member states lose independent monetary policy and cannot adjust their nominal exchange rate, so adjustment must occur through wages, prices, fiscal policy, and labour mobility. The euro area experience has shown both the benefits of integration and the challenges of adjustment in the absence of exchange-rate flexibility, prompting reforms to strengthen fiscal frameworks and banking union.&lt;br /&gt;
&lt;br /&gt;
== Exit and crisis management ==&lt;br /&gt;
&lt;br /&gt;
Exiting a peg is difficult. A well-managed exit may involve a gradual widening of the band, clear communication, and supportive policy, allowing the market to find a new level without disruption. A disorderly exit, triggered by crisis, can involve sharp depreciation, capital flight, and financial instability, as occurred in several emerging-market crises. Credible exit strategies and international support help to reduce the costs.&lt;br /&gt;
&lt;br /&gt;
Managing a peg requires adequate reserves, sound macroeconomic policy, and a robust financial system. Prudential regulation limits the build-up of currency mismatches, and contingency planning prepares for stress. Where a peg is under sustained pressure, policymakers face a choice between defending it, at potentially high cost, and adjusting it in an orderly manner. The decision depends on the credibility of the peg, the underlying fundamentals, and the anticipated costs of each option.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Fixed Exchange Rate]]&lt;br /&gt;
* [[Floating Exchange Rate]]&lt;br /&gt;
* [[Currency Crisis]]&lt;br /&gt;
* [[Trilemma]]&lt;br /&gt;
* [[Central Bank]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;International Monetary Fund, &#039;&#039;Annual Report on Exchange Arrangements and Exchange Restrictions&#039;&#039;.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;Bank for International Settlements research on exchange-rate regimes.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;OECD work on monetary policy and exchange rates.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Journal literature on currency crises and speculative attacks.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Pareto_Efficiency&amp;diff=208</id>
		<title>Pareto Efficiency</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Pareto_Efficiency&amp;diff=208"/>
		<updated>2026-10-06T04:45:41Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Pareto Efficiency&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Pareto efficiency&#039;&#039;&#039;, also called Pareto optimality, is a state of allocation of resources in which it is impossible to make any one individual better off without making at least one individual worse off. Named after the Italian economist Vilfredo Pareto, the concept is a central criterion in welfare economics for evaluating the efficiency of economic outcomes. An allocation that is not Pareto efficient is wasteful, because some improvement is possible without harming anyone.&lt;br /&gt;
&lt;br /&gt;
== Definition ==&lt;br /&gt;
&lt;br /&gt;
An allocation is Pareto efficient if no feasible reallocation can make at least one person better off without making someone else worse off. A change that makes at least one person better off and no one worse off is called a Pareto improvement. The set of all Pareto-efficient allocations is called the Pareto frontier or contract curve, and different points along it represent different distributions of well-being.&lt;br /&gt;
&lt;br /&gt;
Pareto efficiency is a minimal criterion of efficiency. It says nothing about fairness or about the distribution of resources; an allocation in which one person owns everything and others own nothing can be Pareto efficient if any reallocation would make the owner worse off. Pareto efficiency is therefore necessary but not sufficient for a desirable outcome, and it must be combined with distributional judgements to evaluate social welfare.&lt;br /&gt;
&lt;br /&gt;
== Fundamental theorems ==&lt;br /&gt;
&lt;br /&gt;
The first fundamental theorem of welfare economics states that a competitive equilibrium, under conditions of complete markets, perfect competition, and no externalities, is Pareto efficient. This theorem formalises the idea that competitive markets allocate resources efficiently, and it provides a benchmark for evaluating market outcomes.&lt;br /&gt;
&lt;br /&gt;
The second fundamental theorem states that any Pareto-efficient allocation can be achieved as a competitive equilibrium with an appropriate redistribution of initial endowments, provided lump-sum transfers are feasible. This theorem separates efficiency from distribution: society can, in principle, achieve both efficiency and fairness by redistributing endowments and then letting markets operate. In practice, lump-sum transfers are rarely feasible, which complicates the separation.&lt;br /&gt;
&lt;br /&gt;
== Market failures and efficiency ==&lt;br /&gt;
&lt;br /&gt;
When the conditions for the fundamental theorems fail, competitive equilibria may not be Pareto efficient. Externalities, public goods, imperfect competition, information asymmetries, and incomplete markets can all cause inefficiency, creating scope for corrective policy. In such cases, a Pareto improvement may be possible through taxes, subsidies, regulation, or the provision of public goods.&lt;br /&gt;
&lt;br /&gt;
The concept is also used to assess the efficiency of policy interventions. A policy that makes some people better off without harming others is a Pareto improvement and, on efficiency grounds, desirable. Most real policies, however, create both winners and losers, so they are evaluated using broader criteria, such as potential Pareto improvement, under which the gains to winners exceed the losses to losers, allowing compensation in principle.&lt;br /&gt;
&lt;br /&gt;
== Limitations ==&lt;br /&gt;
&lt;br /&gt;
Pareto efficiency has important limitations. It provides no guidance on distributional questions and can be consistent with extreme inequality. It also focuses on individuals&#039; own evaluations of their well-being, which may be affected by information problems, adaptation, and behavioural biases. Moreover, the Pareto criterion may be silent when a policy creates both winners and losers, as most policies do.&lt;br /&gt;
&lt;br /&gt;
Economists therefore use additional criteria, including social welfare functions, measures of inequality, and distributional weights, to evaluate outcomes. Despite its limitations, Pareto efficiency remains a foundational concept, providing a precise definition of waste and a benchmark against which market and policy outcomes can be assessed. It is central to welfare economics, to the analysis of market failure, and to the evaluation of policy trade-offs.&lt;br /&gt;
&lt;br /&gt;
== Pareto efficiency and fairness ==&lt;br /&gt;
&lt;br /&gt;
Pareto efficiency is silent on fairness. An allocation can be Pareto efficient and yet involve extreme inequality, since the criterion only concerns whether anyone can be made better off without harming others. This silence is a strength, in that it allows economists to identify waste without imposing value judgements about distribution, but also a limitation, since efficiency alone is an incomplete guide to policy.&lt;br /&gt;
&lt;br /&gt;
The relationship between efficiency and equity is a central theme in welfare economics. The second fundamental theorem suggests that society can, in principle, achieve any desired distribution of welfare by redistributing endowments and then allowing competitive markets to operate. In practice, lump-sum redistribution is rarely feasible, and redistribution through taxes and transfers creates efficiency costs. Policymakers therefore face a trade-off, and the optimal balance depends on societal preferences and on the magnitude of the efficiency costs.&lt;br /&gt;
&lt;br /&gt;
== Pareto efficiency in practice ==&lt;br /&gt;
&lt;br /&gt;
In practice, Pareto improvements are rare, because most policy changes create both winners and losers. Analysts therefore use the concept of potential Pareto improvement, associated with the compensation principle, under which a change is desirable if the gains to winners exceed the losses to losers, so that winners could in principle compensate losers and still be better off. This criterion underlies cost-benefit analysis, which compares the monetised benefits and costs of a project or policy.&lt;br /&gt;
&lt;br /&gt;
The compensation principle has its own limitations, since actual compensation is often not paid, and the distributional consequences of a change may be as important as its aggregate effect. Cost-benefit analysis therefore often includes distributional weights, giving greater weight to gains and losses for disadvantaged groups, to reflect societal preferences.&lt;br /&gt;
&lt;br /&gt;
== Extensions and critiques ==&lt;br /&gt;
&lt;br /&gt;
Pareto efficiency has been extended and critiqued in several directions. The concept of constrained Pareto efficiency acknowledges that some improvements may be infeasible because of information or institutional constraints, and it focuses on achievable improvements. Mechanism design theory studies how to design institutions that achieve desirable outcomes given private information and incentives, using Pareto and related criteria.&lt;br /&gt;
&lt;br /&gt;
Critiques of Pareto efficiency come from behavioural and philosophical perspectives. Behavioural economists note that individuals&#039; preferences may be inconsistent, influenced by framing, or based on mistaken beliefs, which complicates the interpretation of efficiency. Philosophers question whether individual preferences, however defined, are the appropriate basis for evaluating social outcomes, and propose alternative criteria based on capabilities, rights, or needs. These debates enrich the understanding of welfare and inform the design of policy.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Welfare Economics]]&lt;br /&gt;
* [[Market Failure]]&lt;br /&gt;
* [[General Equilibrium]]&lt;br /&gt;
* [[Social Welfare Function]]&lt;br /&gt;
* [[Pareto Improvement]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Welfare economics texts on Pareto efficiency.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;Public economics literature on market failure and policy.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;OECD work on policy evaluation and welfare.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Journal literature on social choice and distribution.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Okun%27s_Law&amp;diff=207</id>
		<title>Okun&#039;s Law</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Okun%27s_Law&amp;diff=207"/>
		<updated>2026-10-06T04:45:40Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Okun&amp;#039;s Law&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Okun&#039;s Law&#039;&#039;&#039; is an empirical relationship that links changes in the unemployment rate to changes in output, typically expressed as gross domestic product. Formulated by Arthur Okun in the 1960s, the law states that a one percentage point reduction in the unemployment rate is associated with an increase in output of about two to three per cent, or equivalently, that a one per cent increase in output is associated with a fall in unemployment of about half a percentage point. The exact coefficients vary across countries and periods.&lt;br /&gt;
&lt;br /&gt;
== Formulation ==&lt;br /&gt;
&lt;br /&gt;
Okun&#039;s Law can be expressed in several ways. The &amp;quot;gap&amp;quot; version relates the output gap, the difference between actual and potential output, to the deviation of unemployment from its natural rate. The &amp;quot;growth&amp;quot; version relates the growth rate of output to the change in the unemployment rate. The relationship is empirical rather than a structural law, and the coefficients are estimated from data.&lt;br /&gt;
&lt;br /&gt;
The law reflects the relationship between output and employment, which depends on productivity and on the labour force. Two mechanisms underlie it. First, output growth requires more labour input, so employment rises and unemployment falls. Second, labour hoarding means that firms may adjust hours and effort rather than headcount, and productivity may rise in a recovery without a proportional increase in employment, which affects the observed relationship.&lt;br /&gt;
&lt;br /&gt;
== Explanations ==&lt;br /&gt;
&lt;br /&gt;
The magnitude of Okun&#039;s coefficient depends on several factors. The responsiveness of employment to output, the cyclical variation in productivity, and changes in participation all affect the relationship. If firms hoard labour during downturns, productivity falls and the unemployment response to output changes is muted; in a recovery, firms first increase utilisation before hiring, slowing the decline in unemployment.&lt;br /&gt;
&lt;br /&gt;
The relationship also depends on the structure of the labour market, the flexibility of working time, and the composition of output growth. Recoveries led by productivity or by capital-intensive sectors may create fewer jobs than recoveries led by labour-intensive services. These variations mean that Okun&#039;s Law is a useful rule of thumb rather than a precise mechanical relationship.&lt;br /&gt;
&lt;br /&gt;
== Empirical evidence ==&lt;br /&gt;
&lt;br /&gt;
Estimates of Okun&#039;s coefficient vary across countries and over time. In the United States, the coefficient has typically been around two, meaning that a one percentage point fall in unemployment corresponds to about two per cent higher output. In some European countries, the coefficient is lower, reflecting different labour market institutions and more pronounced labour hoarding. The relationship appears to have weakened in some economies, with recoveries generating less employment growth than in the past, a phenomenon sometimes called jobless growth.&lt;br /&gt;
&lt;br /&gt;
The stability of the law has been questioned, particularly around deep recessions and structural breaks. Some research finds that the relationship is asymmetric, with unemployment responding more strongly to negative shocks than to positive ones, consistent with hysteresis effects in the labour market.&lt;br /&gt;
&lt;br /&gt;
== Policy use ==&lt;br /&gt;
&lt;br /&gt;
Okun&#039;s Law is used in forecasting and policy analysis. It helps to translate output forecasts into unemployment forecasts and to estimate the output cost of disinflation or of a recession. Central banks and finance ministries use the relationship to assess the labour market implications of their forecasts and to calibrate policy responses. International organisations use it to project employment and to assess the social consequences of economic downturns.&lt;br /&gt;
&lt;br /&gt;
The law also highlights the link between growth and employment, reinforcing the importance of sustaining aggregate demand and of removing obstacles to job creation. Because the relationship is empirical and varies, it is best used with judgement and in combination with other indicators of labour market conditions and of potential output.&lt;br /&gt;
&lt;br /&gt;
== Variations across countries and time ==&lt;br /&gt;
&lt;br /&gt;
The Okun coefficient varies across countries and over time, reflecting differences in labour market institutions, the structure of production, and the nature of shocks. Countries with more flexible labour markets and less labour hoarding tend to have larger coefficients, since employment responds more strongly to output changes. Countries with stronger employment protection and more rigid working time have smaller coefficients, because firms adjust hours and productivity before headcount.&lt;br /&gt;
&lt;br /&gt;
The relationship has also changed over time. In some economies, the coefficient has declined, meaning that a given change in output is associated with a smaller change in unemployment. Explanations include changes in the composition of output toward sectors with different labour intensities, increased use of temporary and part-time work, and changes in participation behaviour. These shifts complicate the use of Okun&#039;s Law for forecasting and policy.&lt;br /&gt;
&lt;br /&gt;
== Asymmetry and hysteresis ==&lt;br /&gt;
&lt;br /&gt;
The relationship between output and unemployment may be asymmetric, with unemployment increasing more during downturns than it declines during recoveries. This pattern reflects hysteresis, in which prolonged unemployment erodes skills and labour force attachment, raising the natural rate and slowing the subsequent decline in unemployment. Asymmetry has important implications, since it implies that the costs of recessions are more persistent than a symmetric model would suggest.&lt;br /&gt;
&lt;br /&gt;
Hysteresis also implies that stabilisation policy can have lasting effects, because preventing a deep recession can avoid the erosion of human capital and the rise in the natural rate. This argument has been used to justify aggressive policy responses during downturns, and it has informed debates about the appropriate balance between inflation control and unemployment avoidance.&lt;br /&gt;
&lt;br /&gt;
== Use in forecasting and policy ==&lt;br /&gt;
&lt;br /&gt;
Okun&#039;s Law is a workhorse of forecasting and policy analysis. Forecasters use it to translate output projections into unemployment projections and vice versa, and to assess the consistency of their forecasts across variables. Policymakers use it to estimate the output cost of disinflation and the employment effects of fiscal and monetary measures, and to assess the amount of slack in the economy.&lt;br /&gt;
&lt;br /&gt;
Because the relationship is empirical and varies, it is used with caution and in combination with other indicators. Structural changes, such as shifts in participation or in the composition of employment, can affect the relationship, and analysts monitor whether the historical coefficients remain valid. The law remains useful as a guide rather than as a precise rule, and its application requires judgement and context-specific analysis.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Unemployment Rate]]&lt;br /&gt;
* [[Potential Output]]&lt;br /&gt;
* [[Output Gap]]&lt;br /&gt;
* [[Economic Growth]]&lt;br /&gt;
* [[Labour Productivity]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;OECD analyses of the output-employment relationship.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;International Monetary Fund research on labour market dynamics.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;Central bank working papers on Okun&#039;s Law estimates.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Labour economics literature on employment and output.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Non-Rivalrous_Good&amp;diff=206</id>
		<title>Non-Rivalrous Good</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Non-Rivalrous_Good&amp;diff=206"/>
		<updated>2026-10-06T04:45:39Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Non-Rivalrous Good&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;A &#039;&#039;&#039;non-rivalrous good&#039;&#039;&#039; is a good whose consumption by one person does not reduce the amount available for others. Consumption is non-rival when multiple people can use the good simultaneously without diminishing its availability, as is the case with knowledge, broadcast signals, and many digital products. Non-rivalry is distinct from non-excludability, which refers to the difficulty of preventing non-payers from consuming a good. The two characteristics together define public goods.&lt;br /&gt;
&lt;br /&gt;
== Rivalry and excludability ==&lt;br /&gt;
&lt;br /&gt;
Economists classify goods along two dimensions: whether consumption is rival, and whether consumption is excludable. &#039;&#039;&#039;Private goods&#039;&#039;&#039;, such as food and clothing, are both rivalrous and excludable. &#039;&#039;&#039;Club goods&#039;&#039;&#039;, such as subscription television or toll roads, are non-rivalrous but excludable. &#039;&#039;&#039;Common-pool resources&#039;&#039;&#039;, such as fisheries or grazing land, are rivalrous but non-excludable. &#039;&#039;&#039;Public goods&#039;&#039;&#039;, such as national defence or basic research, are both non-rivalrous and non-excludable.&lt;br /&gt;
&lt;br /&gt;
Non-rivalry means that the marginal cost of allowing an additional consumer is zero, which has important implications for efficient pricing. In a competitive market, price equals marginal cost, so the efficient price of a non-rivalrous good would be zero. Charging a positive price excludes some consumers who would benefit at no additional cost, creating a deadweight loss. This is the fundamental reason why markets underprovide non-rivalrous goods.&lt;br /&gt;
&lt;br /&gt;
== Public goods and market failure ==&lt;br /&gt;
&lt;br /&gt;
When a good is both non-rivalrous and non-excludable, private markets tend to underprovide it, because firms cannot capture the benefits and consumers have an incentive to free ride. Public goods such as national defence, street lighting, and basic scientific knowledge are therefore typically provided by governments or funded collectively. The underprovision of public goods is one of the classic market failures that justify government intervention.&lt;br /&gt;
&lt;br /&gt;
Non-excludability creates the free-rider problem, in which individuals benefit from a good without contributing to its cost. If too many free ride, the good may not be provided at all, even when the total benefits exceed the total costs. Solutions include taxation, public provision, and institutional arrangements that encourage contributions, though each has limitations.&lt;br /&gt;
&lt;br /&gt;
== Knowledge and innovation ==&lt;br /&gt;
&lt;br /&gt;
Knowledge is the paradigmatic non-rivalrous good. An idea or a scientific discovery can be used by many people simultaneously without being used up. Non-rivalry means that the social returns to innovation can far exceed private returns, because innovations spill over to other firms and users. This gap between social and private returns justifies public support for research and development and for education, and it is central to endogenous growth theory.&lt;br /&gt;
&lt;br /&gt;
Intellectual property rights create temporary excludability for knowledge-based goods to allow innovators to capture returns. Patents, copyrights, and trademarks grant limited monopolies. The design of these rights involves a trade-off: stronger protection increases the incentive to innovate but raises the cost of diffusion and follow-on innovation. The optimal balance is a subject of ongoing debate, especially for pharmaceuticals, software, and digital content.&lt;br /&gt;
&lt;br /&gt;
== Digital goods and policy ==&lt;br /&gt;
&lt;br /&gt;
Digital goods, including software, media, and online services, are often non-rivalrous, with near-zero marginal cost of reproduction and distribution. This has transformed entire industries, creating both opportunities and challenges. The low marginal cost supports widespread access but undermines business models based on selling copies, prompting the use of subscriptions, advertising, and platform models.&lt;br /&gt;
&lt;br /&gt;
Non-rivalry also raises questions about pricing and access. Charging positive prices for digital goods excludes potential users who would impose no additional cost, which can be inefficient, but free provision may not cover fixed costs. Public provision, cross-subsidisation, and alternative models such as open access are used to balance these considerations. Understanding non-rivalry is essential for designing policies for digital infrastructure, data, and public knowledge.&lt;br /&gt;
&lt;br /&gt;
== Non-rivalry and public policy ==&lt;br /&gt;
&lt;br /&gt;
Non-rivalry has direct implications for public policy. Because the marginal cost of providing a non-rivalrous good to an additional consumer is zero, efficiency requires that it be priced at zero or funded collectively. Markets alone will not achieve this outcome, because firms must charge to cover fixed costs, and charging excludes consumers who would impose no additional cost. This creates a case for public provision, public funding, or alternative mechanisms such as cross-subsidisation.&lt;br /&gt;
&lt;br /&gt;
The optimal policy depends on the nature of the good and on the structure of costs. For goods with high fixed costs and low marginal costs, such as software or broadcasting, a combination of public funding and market provision may be appropriate. For pure public goods, public provision funded by taxation is often the only feasible approach. The design must consider incentives for cost efficiency, quality, and innovation.&lt;br /&gt;
&lt;br /&gt;
== Non-rivalry and intellectual property ==&lt;br /&gt;
&lt;br /&gt;
Intellectual property rights create excludability for non-rivalrous goods, allowing innovators to charge for access and to recover their investment. This solves the underprovision problem but creates a new inefficiency, since charging for a non-rivalrous good excludes some users and creates a deadweight loss. The patent and copyright systems are therefore a second-best solution, trading off the incentive to innovate against the cost of access restrictions.&lt;br /&gt;
&lt;br /&gt;
The design of intellectual property involves difficult trade-offs. Longer and broader protection increases the incentive to innovate but raises the cost of diffusion and follow-on innovation, and can create durable market power. Alternative mechanisms, including prizes, public funding, and open-access models, are used in different contexts, and their effectiveness varies. Balancing the incentive to create with the benefits of widespread access is an ongoing challenge.&lt;br /&gt;
&lt;br /&gt;
== Non-rivalry in the digital economy ==&lt;br /&gt;
&lt;br /&gt;
The digital economy is characterised by non-rivalrous goods, including data, software, and digital content. The low marginal cost of reproduction and distribution creates opportunities for widespread access but also challenges traditional business models. Platforms, subscriptions, and advertising have emerged as ways to monetise non-rivalrous goods, and open-source and open-access movements have provided alternatives.&lt;br /&gt;
&lt;br /&gt;
Data raises particularly complex issues, since it is non-rivalrous, can be used by multiple parties simultaneously, and generates value through aggregation and analysis. Privacy considerations, ownership rights, and the potential for misuse of data require careful regulation. Understanding the economics of non-rivalry is essential for designing policies for the digital economy that balance innovation, access, and the protection of individuals.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Public Good]]&lt;br /&gt;
* [[Externality]]&lt;br /&gt;
* [[Market Failure]]&lt;br /&gt;
* [[Intellectual Property]]&lt;br /&gt;
* [[Knowledge Economy]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Public economics texts on public goods and externalities.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;OECD work on digital economy and knowledge policy.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;World Bank research on knowledge and development.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Journal literature on the economics of innovation and intellectual property.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Nominal_Interest_Rate&amp;diff=205</id>
		<title>Nominal Interest Rate</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Nominal_Interest_Rate&amp;diff=205"/>
		<updated>2026-10-06T04:45:37Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Nominal Interest Rate&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The &#039;&#039;&#039;nominal interest rate&#039;&#039;&#039; is the interest rate expressed in current prices, before adjusting for inflation. It is the rate actually quoted and paid on loans, bonds, and deposits. The nominal rate differs from the real interest rate, which adjusts for expected or actual inflation. The relationship between the two, known as the Fisher equation, is central to the analysis of saving, investment, and monetary policy.&lt;br /&gt;
&lt;br /&gt;
== Definition and the Fisher equation ==&lt;br /&gt;
&lt;br /&gt;
The nominal interest rate is the percentage return on a financial asset in money terms. The real interest rate is approximately equal to the nominal rate minus the expected rate of inflation, a relationship formalised by the Fisher equation. More precisely, the real rate equals one plus the nominal rate divided by one plus the inflation rate, minus one. When inflation is low, the approximate relationship is close enough for most purposes.&lt;br /&gt;
&lt;br /&gt;
The distinction matters because economic decisions depend on real rates. A saver cares about the purchasing power of future returns, and a borrower cares about the real cost of funds. An investment project is worthwhile if its real return exceeds the real cost of capital. The nominal rate alone can be misleading when inflation is high or volatile.&lt;br /&gt;
&lt;br /&gt;
== Nominal interest rates and monetary policy ==&lt;br /&gt;
&lt;br /&gt;
Central banks set policy rates in nominal terms, and the transmission of monetary policy depends on how nominal rate changes affect real rates. If prices are sticky in the short run, a change in the nominal rate changes the real rate and influences spending and investment, a mechanism central to the monetary transmission process. In the long run, however, prices adjust, and changes in nominal rates are reflected in inflation rather than in real rates, a result known as the neutrality of money.&lt;br /&gt;
&lt;br /&gt;
The zero lower bound constrains monetary policy because nominal interest rates cannot fall much below zero, since holding cash is an alternative. When inflation is low and the policy rate is near zero, the real rate may rise, tightening policy unintentionally. This has motivated unconventional policies, including asset purchases, forward guidance, and, in some cases, negative policy rates.&lt;br /&gt;
&lt;br /&gt;
== Determinants ==&lt;br /&gt;
&lt;br /&gt;
Nominal interest rates are determined by several factors. The expected real rate, which reflects the balance of saving and investment and the productivity of capital, is a fundamental determinant. Expected inflation is added to compensate lenders for the erosion of purchasing power. A risk premium compensates for default risk and uncertainty. Liquidity and term premia reflect the characteristics of the specific instrument and the maturity of the loan.&lt;br /&gt;
&lt;br /&gt;
Central bank policy sets a short-term nominal anchor, from which the term structure of interest rates is determined by expectations of future policy, term premia, and market conditions. The yield curve, which plots nominal yields against maturity, embodies all of these factors and is closely monitored for signals about expectations and risk.&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
Nominal rates are used throughout finance and economics. In bond pricing, the coupon and yield are nominal. In loan contracts, the stated rate is nominal, though contracts may specify adjustable rates tied to inflation or to reference rates. In monetary analysis, the difference between nominal and real rates is used to assess the stance of policy. In international finance, nominal interest differentials are linked to expected exchange-rate movements through interest parity conditions.&lt;br /&gt;
&lt;br /&gt;
Understanding the distinction between nominal and real rates is therefore essential for analysing saving and investment behaviour, for interpreting financial market signals, and for designing and evaluating monetary policy. The interaction between nominal rates, inflation, and expectations is one of the central themes of macroeconomics.&lt;br /&gt;
&lt;br /&gt;
== The term structure ==&lt;br /&gt;
&lt;br /&gt;
The nominal interest rate varies with the maturity of the instrument, giving rise to the term structure of interest rates, or yield curve. The expectations hypothesis holds that long-term rates reflect the average of expected future short-term rates plus a term premium. Other theories emphasise market segmentation and preferred habitat, in which the supply and demand for different maturities determine rates independently. The shape of the yield curve carries information about expectations of future policy, growth, and inflation.&lt;br /&gt;
&lt;br /&gt;
An inverted yield curve, in which short-term rates exceed long-term rates, has historically preceded recessions in several economies. The signal is not infallible, but it is closely monitored, and it has motivated research on whether the relationship is causal or merely coincidental. The term premium, the compensation for holding long-term rather than short-term debt, varies over time and is influenced by monetary policy, including asset purchases, and by the supply of government debt.&lt;br /&gt;
&lt;br /&gt;
== Nominal rates across countries ==&lt;br /&gt;
&lt;br /&gt;
Nominal interest rates differ across countries, reflecting differences in inflation, monetary policy, and risk. The uncovered interest parity condition holds that differences in nominal rates between two countries should be offset by expected changes in the exchange rate, so that expected returns are equalised in a common currency. In practice, deviations from parity are common, reflecting risk premia, capital controls, and market segmentation.&lt;br /&gt;
&lt;br /&gt;
These deviations are the basis for carry trades, in which investors borrow in low-interest-rate currencies and invest in high-interest-rate currencies, earning the differential if the exchange rate does not move adversely. Carry trades can be profitable for extended periods but are subject to sharp reversals when risk appetite changes, and they have been associated with episodes of currency instability.&lt;br /&gt;
&lt;br /&gt;
== Historical perspective ==&lt;br /&gt;
&lt;br /&gt;
Nominal interest rates have varied widely over history, from very low levels during periods of stable prices to very high levels during inflationary episodes. In the late 1970s and early 1980s, nominal rates in several advanced economies reached double digits as central banks fought inflation. In the 2010s, nominal rates fell to historically low levels, and some central banks introduced negative policy rates, an unprecedented step that raised questions about the effective lower bound and about the functioning of the financial system.&lt;br /&gt;
&lt;br /&gt;
The historical experience shows that nominal rates are not a reliable indicator of the stance of policy or of the cost of borrowing in real terms without reference to inflation. Understanding the interaction between nominal rates, inflation, and expectations is therefore essential for interpreting monetary conditions and for assessing the effects of policy.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Real Interest Rate]]&lt;br /&gt;
* [[Inflation]]&lt;br /&gt;
* [[Fisher Equation]]&lt;br /&gt;
* [[Monetary Policy]]&lt;br /&gt;
* [[Yield Curve]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Monetary economics texts on interest rates and inflation.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;Central bank research on the transmission of interest-rate changes.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;OECD analyses of interest rates and saving behaviour.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Bank for International Settlements statistics on interest rates.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Net_Exports&amp;diff=204</id>
		<title>Net Exports</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Net_Exports&amp;diff=204"/>
		<updated>2026-10-06T04:45:36Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Net Exports&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Net exports&#039;&#039;&#039; are the value of a country&#039;s exports of goods and services minus the value of its imports. Net exports are a component of gross domestic product and a key indicator of a country&#039;s trade position. A positive value indicates a trade surplus, meaning the country exports more than it imports; a negative value indicates a trade deficit. Net exports link the domestic economy to the rest of the world and are closely related to the current account and to capital flows.&lt;br /&gt;
&lt;br /&gt;
== Components of GDP ==&lt;br /&gt;
&lt;br /&gt;
In the expenditure approach to GDP, output equals consumption plus investment plus government spending plus net exports. Net exports capture the contribution of the external sector to aggregate demand. Because imports are subtracted, a rise in imports reduces net exports and, other things equal, GDP, but a rise in imports may also reflect stronger domestic demand. Exports add to demand, while imports represent spending that leaks abroad.&lt;br /&gt;
&lt;br /&gt;
Net exports are affected by income, relative prices, the exchange rate, and trade policy. Strong foreign growth raises export demand, while strong domestic growth raises imports and reduces net exports. A depreciation makes exports cheaper and imports dearer, improving net exports after the J-curve adjustment. Tariffs and quotas alter trade flows directly.&lt;br /&gt;
&lt;br /&gt;
== Relation to capital flows ==&lt;br /&gt;
&lt;br /&gt;
Net exports are linked to international capital flows through the balance-of-payments identity. A trade surplus means that a country is exporting more than it imports and is therefore acquiring foreign assets or reducing external liabilities. A trade deficit means the country is importing more than it exports and is financing the gap by selling assets or borrowing abroad. Net exports therefore equal the net capital outflow, with sign conventions accounting for income and transfers.&lt;br /&gt;
&lt;br /&gt;
This linkage implies that trade imbalances and capital flows are two sides of the same coin. A country with a large trade deficit is, by identity, a net importer of capital, and its external liabilities grow relative to its income. Conversely, a trade surplus country accumulates foreign assets. Understanding this relationship is essential for interpreting external imbalances and for assessing their sustainability.&lt;br /&gt;
&lt;br /&gt;
== Determinants and adjustment ==&lt;br /&gt;
&lt;br /&gt;
Net exports are determined by competitiveness, which depends on unit labour costs, productivity, quality, and the exchange rate; by foreign and domestic income; and by trade barriers and preferences. Over the long run, a country&#039;s net export position reflects its saving and investment behaviour, since the external balance equals the difference between national saving and investment.&lt;br /&gt;
&lt;br /&gt;
Adjustment of large net export imbalances involves changes in relative prices, income, and exchange rates, as well as structural reform. Surplus countries may need to raise domestic demand, while deficit countries may need to reduce absorption or improve competitiveness. The adjustment process can be slow and can generate tensions among trading partners, particularly when imbalances are large and persistent.&lt;br /&gt;
&lt;br /&gt;
== Measurement and interpretation ==&lt;br /&gt;
&lt;br /&gt;
Net exports are measured in the balance of payments and in national accounts. Bilateral trade balances, which compare exports and imports with a single partner, are often cited in policy debates but can be misleading, because they ignore the role of global value chains and the fact that a country&#039;s overall position is what matters for its external balance. A bilateral deficit may reflect the structure of supply chains rather than unfair trade practices.&lt;br /&gt;
&lt;br /&gt;
In real terms, net exports can improve even when the nominal trade balance is unchanged, if the terms of trade change. Analysts therefore examine both nominal and real measures, and they consider the composition of trade, including the share of intermediate goods and services. These details matter for understanding the sources of external imbalance and for designing appropriate policy responses.&lt;br /&gt;
&lt;br /&gt;
== The trade balance over the long run ==&lt;br /&gt;
&lt;br /&gt;
In the long run, a country&#039;s net export position reflects its saving and investment behaviour. A country that saves more than it invests exports capital and runs a surplus, while a country that invests more than it saves imports capital and runs a deficit. This identity implies that persistent imbalances are rooted in domestic macroeconomic conditions, including fiscal policy, private saving, and investment, rather than solely in trade policy.&lt;br /&gt;
&lt;br /&gt;
The relationship between the fiscal balance and the trade balance, known as the twin deficits, has been studied extensively. In theory, a larger fiscal deficit raises domestic absorption and the demand for imports, widening the trade deficit. The empirical evidence is mixed, since other factors, including private saving and investment, also affect the external balance, and the relationship varies across countries and over time.&lt;br /&gt;
&lt;br /&gt;
== Trade in services and value added ==&lt;br /&gt;
&lt;br /&gt;
Traditional measures of net exports focus on gross trade in goods and services. In an era of global value chains, gross trade can misrepresent the contribution of trade to an economy, because exports embody imported inputs. Measures of trade in value added, which attribute the value created at each stage of production to the country where it occurs, provide a more accurate picture of the domestic content of exports and of the contribution of trade to GDP.&lt;br /&gt;
&lt;br /&gt;
Services trade has grown in importance and is often less visible than goods trade. Services are increasingly tradable, thanks to digital technologies, and they contribute to net exports through tourism, transport, finance, and business services. Measuring services trade is difficult, and the balance in services can differ substantially from the balance in goods, which matters for understanding a country&#039;s overall external position.&lt;br /&gt;
&lt;br /&gt;
== Policy implications ==&lt;br /&gt;
&lt;br /&gt;
Policies to influence net exports include exchange-rate policy, trade policy, and macroeconomic measures. Exchange-rate depreciation improves competitiveness but may be offset by the J-curve and by retaliation. Tariffs and quotas can reduce imports but also raise costs for domestic producers and consumers, and they invite countermeasures. Macroeconomic policy affects net exports indirectly, through its effects on domestic demand and on the exchange rate.&lt;br /&gt;
&lt;br /&gt;
Because net exports are linked to capital flows, policies that attract or deter foreign investment also affect the external balance. Countries that rely heavily on foreign capital to finance investment tend to run deficits, while those that export capital tend to run surpluses. Understanding these linkages is essential for coherent policy and for the assessment of external sustainability.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Trade Balance]]&lt;br /&gt;
* [[Current Account Deficit]]&lt;br /&gt;
* [[Exchange Rate]]&lt;br /&gt;
* [[Balance of Payments]]&lt;br /&gt;
* [[Comparative Advantage]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;International Monetary Fund, &#039;&#039;Balance of Payments and International Investment Position Manual&#039;&#039;.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;OECD trade statistics and analysis.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;World Trade Organization reports on global trade.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;World Bank research on trade and external adjustment.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Natural_Rate_of_Unemployment&amp;diff=203</id>
		<title>Natural Rate of Unemployment</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Natural_Rate_of_Unemployment&amp;diff=203"/>
		<updated>2026-10-06T04:45:35Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Natural Rate of Unemployment&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The &#039;&#039;&#039;natural rate of unemployment&#039;&#039;&#039; is the rate of unemployment that prevails when the labour market is in equilibrium, with no cyclical deficiency in aggregate demand. It is the sum of frictional and structural unemployment, and it is sometimes called the non-accelerating inflation rate of unemployment, or NAIRU, in contexts where it is defined as the rate at which inflation is stable. The natural rate is not zero, because some unemployment is inevitable in a dynamic economy.&lt;br /&gt;
&lt;br /&gt;
== Components ==&lt;br /&gt;
&lt;br /&gt;
The natural rate comprises frictional and structural unemployment. &#039;&#039;&#039;Frictional unemployment&#039;&#039;&#039; arises from the time it takes workers to search for and match with suitable jobs, and from the normal turnover of the labour market. &#039;&#039;&#039;Structural unemployment&#039;&#039;&#039; arises from mismatches between the skills and locations of workers and the requirements of available jobs, caused by technological change, deindustrialisation, or regional decline. Both are present even when aggregate demand is adequate.&lt;br /&gt;
&lt;br /&gt;
Cyclical unemployment, by contrast, arises from a shortfall in aggregate demand and is the component that stabilisation policy can address. The observed unemployment rate equals the natural rate plus cyclical unemployment plus any deviation caused by shocks. Distinguishing the components is important for policy, since the appropriate response differs.&lt;br /&gt;
&lt;br /&gt;
== Determinants ==&lt;br /&gt;
&lt;br /&gt;
The natural rate is influenced by several factors. &#039;&#039;&#039;Demographic change&#039;&#039;&#039; affects the composition of the labour force, since young and older workers experience higher unemployment. &#039;&#039;&#039;Labour market institutions&#039;&#039;&#039;, including unemployment benefits, employment protection, minimum wages, and collective bargaining, affect the incentives to search and to hire. &#039;&#039;&#039;Technological change&#039;&#039;&#039; and &#039;&#039;&#039;globalisation&#039;&#039;&#039; shift the demand for skills and can raise structural unemployment if adjustment is slow. &#039;&#039;&#039;Housing and transport&#039;&#039;&#039; affect geographic mobility, and &#039;&#039;&#039;childcare and family policy&#039;&#039;&#039; affect participation.&lt;br /&gt;
&lt;br /&gt;
Tax and benefit systems influence the natural rate by altering the rewards to work and to hiring. High effective tax rates on labour, generous and long-duration unemployment benefits, and rigid wage structures can raise the natural rate by lengthening unemployment spells and reducing job creation. Reforms to these institutions can lower the natural rate, though they may have distributional consequences.&lt;br /&gt;
&lt;br /&gt;
== The NAIRU and inflation ==&lt;br /&gt;
&lt;br /&gt;
The NAIRU is defined as the unemployment rate at which inflation neither rises nor falls, given the current inflation expectations and supply conditions. When unemployment falls below the NAIRU, inflation tends to accelerate, because labour markets tighten and wages rise; when unemployment exceeds the NAIRU, inflation tends to decelerate. The NAIRU is therefore a key reference for monetary policy, guiding judgements about how far the economy can expand without generating inflationary pressure.&lt;br /&gt;
&lt;br /&gt;
Estimating the NAIRU is difficult because it is not directly observable and can shift over time with changes in institutions, demographics, and productivity. Estimates are uncertain and are subject to revision, which complicates the use of the concept in real-time policy. The NAIRU can also be affected by the level of unemployment itself, through hysteresis, meaning that prolonged high unemployment can raise the NAIRU.&lt;br /&gt;
&lt;br /&gt;
== Policy implications ==&lt;br /&gt;
&lt;br /&gt;
The natural rate concept informs both stabilisation and structural policy. If unemployment is above the natural rate, demand-side policies can reduce cyclical unemployment without generating inflation. If unemployment is at or below the natural rate, further stimulus risks accelerating inflation, and structural measures are needed to lower the natural rate itself. Identifying which situation prevails requires real-time estimates and judgement.&lt;br /&gt;
&lt;br /&gt;
Structural policies to reduce the natural rate include education and training to improve matching, active labour market programmes, reforms to tax and benefit systems to strengthen work incentives, and measures to improve mobility and to remove barriers to job creation. The design of these policies, and their effectiveness, vary across countries and depend on the underlying causes of the natural rate.&lt;br /&gt;
&lt;br /&gt;
== Estimation and uncertainty ==&lt;br /&gt;
&lt;br /&gt;
Estimating the natural rate is difficult because neither the natural rate nor potential output is directly observable. Economists use statistical filters to separate trend from cycle in unemployment and output data, structural models that relate unemployment to its determinants, and estimates of the wage-setting and price-setting relationships that determine equilibrium unemployment. Each approach has limitations, and estimates are often revised substantially as new data arrive.&lt;br /&gt;
&lt;br /&gt;
The uncertainty surrounding the natural rate has practical consequences. Policymakers who overestimate the natural rate may keep policy too tight, leaving unemployment unnecessarily high. Those who underestimate it may stimulate too much, generating inflation. Because estimates are uncertain and change over time, policy must rely on a range of indicators and on judgement, and central banks often emphasise the robustness of their decisions to alternative estimates.&lt;br /&gt;
&lt;br /&gt;
== Structural reforms ==&lt;br /&gt;
&lt;br /&gt;
Structural reforms aim to lower the natural rate by improving the functioning of the labour market. Measures include reducing the tax wedge on labour, reforming unemployment benefits to strengthen work incentives while maintaining adequate insurance, improving education and training systems, and removing barriers to job creation and mobility. The design of these reforms is important, since poorly designed measures can reduce welfare without improving employment.&lt;br /&gt;
&lt;br /&gt;
The evidence on the effects of structural reform is mixed and context-dependent. Some reforms, such as reducing the tax wedge for low-wage workers, have been associated with higher employment, while others, such as weakening employment protection, have had smaller effects and have increased insecurity. Successful reform typically combines flexibility with support, helping workers to move between jobs while maintaining adequate protection and income.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Unemployment Rate]]&lt;br /&gt;
* [[Full Employment]]&lt;br /&gt;
* [[Phillips Curve]]&lt;br /&gt;
* [[Structural Unemployment]]&lt;br /&gt;
* [[Labour Market]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;OECD work on structural unemployment and labour market policy.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;International Monetary Fund research on the NAIRU.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;Central bank analyses of labour market slack.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Labour economics literature on unemployment dynamics.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Natural_Monopoly&amp;diff=202</id>
		<title>Natural Monopoly</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Natural_Monopoly&amp;diff=202"/>
		<updated>2026-10-06T04:45:34Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Natural Monopoly&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;A &#039;&#039;&#039;natural monopoly&#039;&#039;&#039; is a market situation in which a single firm can supply the entire market at a lower cost than two or more firms could. It arises when production involves high fixed costs and economies of scale that extend over the full range of market demand, so that average cost declines as output increases. In such circumstances, competition would be inefficient, because duplicating facilities would raise costs. Natural monopolies are common in utilities and infrastructure, including water, electricity transmission, rail networks, and some telecommunications services.&lt;br /&gt;
&lt;br /&gt;
== Conditions ==&lt;br /&gt;
&lt;br /&gt;
The defining condition for a natural monopoly is subadditivity of the cost function, meaning that the cost of producing total output in one firm is less than the cost of producing it in two or more firms. This typically arises from high fixed costs combined with low marginal costs, so that average cost falls continuously over the relevant range of demand. The minimum efficient scale exceeds the size of the market, so only one firm can operate at efficient scale.&lt;br /&gt;
&lt;br /&gt;
Natural monopoly is a property of technology and demand, not a legal status. Changes in technology or in demand can eliminate natural monopoly, as occurred in telecommunications, where technological change reduced the cost advantage of a single network and made competition feasible in some segments.&lt;br /&gt;
&lt;br /&gt;
== Regulation ==&lt;br /&gt;
&lt;br /&gt;
Because a natural monopolist would, if unregulated, restrict output and charge prices well above cost, natural monopolies are typically subject to regulation. The main approaches are &#039;&#039;&#039;rate-of-return regulation&#039;&#039;&#039;, which sets prices to cover costs including a fair return on capital, and &#039;&#039;&#039;price-cap regulation&#039;&#039;&#039;, which limits the prices a firm may charge, often adjusted for inflation and expected productivity gains. Each has advantages and drawbacks.&lt;br /&gt;
&lt;br /&gt;
Rate-of-return regulation can create incentives to overinvest, a problem known as the Averch-Johnson effect, because a higher capital base allows a higher allowed return. Price-cap regulation provides stronger incentives for cost reduction but risks quality erosion and requires periodic resetting, which can be contentious. Performance-based regulation and benchmarking are used to sharpen incentives.&lt;br /&gt;
&lt;br /&gt;
== Competition and structural remedies ==&lt;br /&gt;
&lt;br /&gt;
Where feasible, regulators may introduce competition rather than regulate a monopoly. Structural separation, such as separating the network from the retail business, allows competition in segments that are not natural monopolies while regulating the remaining bottleneck. This approach has been applied in electricity, gas, and telecommunications. Access regulation requires the monopoly to provide competitors with access to essential facilities on fair terms.&lt;br /&gt;
&lt;br /&gt;
Vertical separation and access pricing are complex, because the network operator has incentives to favour its own downstream operations. Regulators set access prices using cost-based methods and monitor conduct to prevent discrimination.&lt;br /&gt;
&lt;br /&gt;
== Public ownership and alternatives ==&lt;br /&gt;
&lt;br /&gt;
Natural monopolies have historically been publicly owned in many countries, on the grounds that public ownership avoids the need for regulation and aligns the firm&#039;s objectives with the public interest. Public ownership has its own problems, including weak incentives for efficiency, political interference, and soft budget constraints. Many countries have privatised utilities while introducing independent regulation, seeking to combine private incentives with public oversight.&lt;br /&gt;
&lt;br /&gt;
The choice between public ownership, regulated private ownership, and other arrangements depends on institutional capacity, the credibility of regulation, and the characteristics of the sector. Well-designed institutions, including independent regulators and clear rules, are essential for good outcomes in any ownership model.&lt;br /&gt;
&lt;br /&gt;
== Natural monopoly and technological change ==&lt;br /&gt;
&lt;br /&gt;
The scope of natural monopoly is not fixed. Technological change can erode the conditions that make a single supplier efficient, as happened in telecommunications, where new technologies reduced the cost advantage of a single network and allowed competition in long-distance and mobile services. Conversely, new technologies can reinforce natural monopoly, as in some digital platforms, where network effects and data advantages create strong increasing returns and make a single dominant firm difficult to challenge.&lt;br /&gt;
&lt;br /&gt;
The dynamics of natural monopoly therefore require ongoing assessment. Regulators must decide when to deregulate segments where competition has become feasible and when to maintain regulation where it remains necessary. Getting this balance right is important, because premature deregulation can harm consumers while excessive regulation can stifle innovation and raise costs.&lt;br /&gt;
&lt;br /&gt;
== International experience ==&lt;br /&gt;
&lt;br /&gt;
Countries have adopted different approaches to natural monopoly. The United States has long relied on regulated private ownership, with independent commissions setting rates for utilities. European countries have moved from public ownership toward regulated private ownership, combined with structural separation and competition in contestable segments. Some countries have retained public ownership, particularly in water and rail.&lt;br /&gt;
&lt;br /&gt;
These differences reflect historical and political circumstances as well as economic considerations. Comparative research finds that outcomes depend heavily on the quality of regulation, including independence, technical capacity, and accountability. Where regulation is weak, privatisation has sometimes produced poor outcomes, while where it is strong, private ownership with regulation has delivered efficiency gains. Institutional quality is thus a central determinant of success.&lt;br /&gt;
&lt;br /&gt;
== Regulation in the digital era ==&lt;br /&gt;
&lt;br /&gt;
Digital platforms present new regulatory challenges. Some exhibit characteristics of natural monopoly, including strong network effects, high fixed costs, and economies of scale and scope in data. Their global scale and rapid innovation complicate traditional regulation, which was designed for stable, geographically bounded utilities. Regulators are experimenting with approaches including interoperability requirements, access to data, and ex ante rules for dominant platforms.&lt;br /&gt;
&lt;br /&gt;
Balancing the benefits of scale and integration against the risks of market power is a central challenge. The goal is to preserve the efficiencies that make these services valuable while ensuring that markets remain contestable and that consumers and businesses are treated fairly. This requires a combination of competition policy, sectoral regulation, and, in some cases, direct intervention to open markets.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Monopoly]]&lt;br /&gt;
* [[Economies of Scale]]&lt;br /&gt;
* [[Regulation]]&lt;br /&gt;
* [[Public Utility]]&lt;br /&gt;
* [[Competition Policy]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Regulatory economics literature on natural monopoly.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;OECD work on regulation of network industries.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;World Bank research on infrastructure and utilities.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Journal literature on price-cap and rate-of-return regulation.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Moral_Hazard&amp;diff=201</id>
		<title>Moral Hazard</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Moral_Hazard&amp;diff=201"/>
		<updated>2026-10-06T04:45:33Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Moral Hazard&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Moral hazard&#039;&#039;&#039; refers to the tendency of individuals or institutions to take greater risks when they are protected from the consequences of those risks. The term originated in insurance, where insured parties may behave less cautiously because losses are covered. In economics, moral hazard arises whenever one party makes decisions that affect another party who bears part of the cost and cannot fully monitor or control the decision-maker. It is a form of information asymmetry that occurs after a contract is signed, distinguishing it from adverse selection, which occurs before.&lt;br /&gt;
&lt;br /&gt;
== Origins and mechanism ==&lt;br /&gt;
&lt;br /&gt;
Moral hazard arises when the interests of the parties diverge and the party bearing the risk cannot observe or enforce the desired behaviour. In insurance, a fully insured driver may drive less carefully, and a fully insured homeowner may invest less in maintenance. The insurer, unable to monitor behaviour perfectly, must bear the resulting losses and may respond by charging higher premiums, imposing deductibles, or limiting coverage.&lt;br /&gt;
&lt;br /&gt;
The problem is not dishonesty or fraud; it is a rational response to incentives. Because the decision-maker does not bear the full cost of the risk, the level of care chosen is lower than the social optimum. The inefficiency arises from the inability to contract completely over all contingencies and behaviours.&lt;br /&gt;
&lt;br /&gt;
== Examples and contexts ==&lt;br /&gt;
&lt;br /&gt;
Moral hazard appears in many contexts. In banking, deposit insurance and implicit guarantees from central banks and governments can encourage banks to take excessive risks, since depositors and creditors are protected. The 2008 financial crisis renewed attention to this channel, often described as too big to fail. In corporate finance, limited liability and debt can encourage shareholders and managers to pursue risky projects, since losses are borne partly by creditors. In employment, performance-based pay may be used to align incentives, but it can also lead to gaming and to excessive risk-taking.&lt;br /&gt;
&lt;br /&gt;
In international finance, lending by international institutions can create moral hazard if borrowers anticipate rescue, and in healthcare, insurance can lead to overconsumption of medical services, a phenomenon known as ex post moral hazard.&lt;br /&gt;
&lt;br /&gt;
== Mitigation ==&lt;br /&gt;
&lt;br /&gt;
Several mechanisms mitigate moral hazard. &#039;&#039;&#039;Deductibles and co-payments&#039;&#039;&#039; make insured parties bear part of the loss. &#039;&#039;&#039;Monitoring and auditing&#039;&#039;&#039; reduce the information gap. &#039;&#039;&#039;Incentive contracts&#039;&#039;&#039; link pay to performance. &#039;&#039;&#039;Regulation&#039;&#039;&#039; imposes capital requirements, liquidity rules, and restrictions on risk-taking. &#039;&#039;&#039;Resolution regimes&#039;&#039;&#039; and bail-in rules aim to ensure that creditors, not taxpayers, bear losses when institutions fail.&lt;br /&gt;
&lt;br /&gt;
In banking, stress testing, restrictions on dividends and buybacks, and macroprudential tools seek to limit excessive risk-taking. In insurance, deductibles, exclusions, and experience rating align incentives. The design of these mechanisms involves trade-offs: too much risk sharing reduces the incentive for care, while too little reduces the value of insurance and may exclude high-risk individuals.&lt;br /&gt;
&lt;br /&gt;
== Policy debate ==&lt;br /&gt;
&lt;br /&gt;
Moral hazard is central to debates about financial regulation, social insurance, and international lending. Critics of generous bailouts argue that they encourage recklessness and that creditors should bear losses. Proponents of intervention argue that in systemic crises, the cost of inaction may exceed the cost of moral hazard, and that safeguards can be designed to limit excessive risk-taking.&lt;br /&gt;
&lt;br /&gt;
The challenge is to preserve the benefits of insurance and liquidity provision while minimising the distortion of incentives. This has led to developments such as contingent convertible capital, bail-in debt, and enhanced supervision, designed to make the financial system more resilient while reducing the expectation of public support.&lt;br /&gt;
&lt;br /&gt;
== Moral hazard in insurance markets ==&lt;br /&gt;
&lt;br /&gt;
Insurance is the classic setting for moral hazard. Insured parties may take less care, consume more of the insured service, or misrepresent losses, because the insurer bears part of the cost. Insurers address these problems through deductibles, co-payments, exclusions, and monitoring, and by pricing premiums according to observed risk. These mechanisms reduce moral hazard but also reduce the value of insurance and can exclude high-risk individuals.&lt;br /&gt;
&lt;br /&gt;
The trade-off between insurance and incentives is central to the design of insurance markets and of public programmes. Health insurance, for example, may encourage overconsumption of medical care, raising costs, but restricting coverage may deter necessary care and harm health. Designing insurance to balance these considerations is a major challenge, informed by evidence on the responsiveness of healthcare demand to cost sharing.&lt;br /&gt;
&lt;br /&gt;
== Moral hazard in international finance ==&lt;br /&gt;
&lt;br /&gt;
Moral hazard has been a central issue in international finance. Lending by international financial institutions can create expectations of rescue, encouraging excessive borrowing and risk-taking by governments and creditors. The design of lending programmes seeks to limit moral hazard through conditionality, by requiring policy adjustments, and by ensuring that private creditors share in the burden of adjustment. In practice, balancing crisis containment against the risk of encouraging future recklessness is difficult.&lt;br /&gt;
&lt;br /&gt;
The debate over moral hazard intensified during the crises of the 1990s and during the global financial crisis, when large-scale support was provided to financial institutions and sovereigns. Proponents argued that contagion and systemic risk justified intervention, while critics warned that repeated rescues would weaken market discipline. The subsequent reforms, including bail-in rules and enhanced supervision, aim to reconcile the two concerns.&lt;br /&gt;
&lt;br /&gt;
== Measuring and testing moral hazard ==&lt;br /&gt;
&lt;br /&gt;
Measuring moral hazard empirically is challenging because it requires separating the effect of insurance from underlying differences in risk. Researchers use natural experiments, such as changes in coverage or in the generosity of guarantees, to identify behavioural responses. Studies of deposit insurance, bankruptcy law, and health insurance have documented significant effects, though magnitudes vary.&lt;br /&gt;
&lt;br /&gt;
Distinguishing moral hazard from adverse selection is important, since the two can produce similar patterns in data. Adverse selection occurs when high-risk individuals are more likely to purchase insurance, while moral hazard occurs when insurance changes behaviour after purchase. Careful empirical design, including randomised experiments and detailed data, is needed to separate these effects and to inform policy.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Adverse Selection]]&lt;br /&gt;
* [[Asymmetric Information]]&lt;br /&gt;
* [[Principal-Agent Problem]]&lt;br /&gt;
* [[Bank Run]]&lt;br /&gt;
* [[Default Risk]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Economics of information literature on incentives and contracts.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;Basel Committee standards on risk and capital.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;International Monetary Fund research on financial stability.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Insurance economics literature on moral hazard.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Monopsony&amp;diff=200</id>
		<title>Monopsony</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Monopsony&amp;diff=200"/>
		<updated>2026-10-06T04:45:31Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Monopsony&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Monopsony&#039;&#039;&#039; is a market structure in which there is a single buyer, or a dominant buyer, of a good, service, or factor of production. Monopsony is the mirror image of monopoly, which involves a single seller. A monopsonist can influence the price it pays by varying the quantity it purchases, typically paying less and buying less than would occur in a competitive market. Monopsony power is most commonly analysed in labour markets, where a single employer or a few employers dominate hiring.&lt;br /&gt;
&lt;br /&gt;
== Mechanics ==&lt;br /&gt;
&lt;br /&gt;
In a competitive factor market, the price of the factor equals its marginal revenue product, and the buyer is a price taker. A monopsonist, facing an upward-sloping supply curve, recognises that hiring more workers requires raising wages not only for the new worker but for all existing workers. As a result, the marginal cost of hiring an additional worker exceeds the wage, and the monopsonist hires up to the point where marginal cost equals marginal revenue product. The resulting wage is below the competitive level, and employment is also lower.&lt;br /&gt;
&lt;br /&gt;
The gap between the marginal cost of labour and the wage is the degree of monopsony power. The more inelastic the supply of labour, the greater the power. Monopsony reduces both wages and employment, generating a deadweight loss and transferring surplus from workers to the employer.&lt;br /&gt;
&lt;br /&gt;
== Sources of monopsony power ==&lt;br /&gt;
&lt;br /&gt;
Monopsony power can arise from several sources. Geographic isolation, where a single employer dominates a local labour market, is a classic case, as in company towns. Concentration in an industry, where a few large employers account for most hiring, creates oligopsony power. Search frictions, in which workers face costs of finding alternative jobs, give employers wage-setting power even in markets with many firms, a phenomenon known as dynamic monopsony. Barriers to mobility, including non-compete agreements, occupational licensing, and the costs of relocation, reinforce employer power.&lt;br /&gt;
&lt;br /&gt;
In product markets, monopsony can arise when a single buyer, such as a large retailer or a government, purchases a significant share of a supplier&#039;s output. Agricultural processors and defence procurement are often cited as examples.&lt;br /&gt;
&lt;br /&gt;
== Consequences ==&lt;br /&gt;
&lt;br /&gt;
Monopsony has significant consequences for workers and for the economy. Lower wages reduce workers&#039; income and can increase inequality, since workers in monopsonistic markets have limited alternatives. Lower employment reduces output and efficiency. Monopsony can also suppress investment in skills, because employers do not fully compensate workers for the productivity gains from training.&lt;br /&gt;
&lt;br /&gt;
In some cases, monopsony may coexist with high consumer prices, if the employer also has market power in the product market, so that the gains from lower input costs are not passed on to consumers. In other cases, a large buyer may negotiate lower prices that benefit consumers, which is why monopsony is not always harmful and requires case-by-case analysis.&lt;br /&gt;
&lt;br /&gt;
== Policy ==&lt;br /&gt;
&lt;br /&gt;
Policy responses to monopsony include antitrust enforcement to prevent excessive concentration in hiring markets, restrictions on practices that limit worker mobility such as non-compete clauses, and support for worker bargaining power through unions and minimum wages. Minimum wages can raise pay and employment in a monopsonistic labour market, contrary to the prediction of the competitive model, because they counteract the employer&#039;s wage-setting power.&lt;br /&gt;
&lt;br /&gt;
Recent research has revived interest in monopsony, documenting employer concentration and wage-setting power across many labour markets, including in sectors previously thought to be competitive. This work has influenced policy debates about minimum wages, merger review in labour markets, and the regulation of labour market practices that restrict competition.&lt;br /&gt;
&lt;br /&gt;
== Monopsony and labour market concentration ==&lt;br /&gt;
&lt;br /&gt;
Recent research has documented that labour markets are often more concentrated than previously assumed. In many local markets, only a few employers account for the majority of hiring, giving them wage-setting power. Studies in the United States and Europe have found that higher employer concentration is associated with lower wages, even after controlling for worker and job characteristics. This has led to a reassessment of the assumption that labour markets are competitive.&lt;br /&gt;
&lt;br /&gt;
Measures of monopsony power include the concentration of hiring, the prevalence of wage-setting by a few employers, and estimates of the labour supply elasticity facing individual firms. The finding that these elasticities are often low suggests that employers have more power than the competitive model implies, with implications for minimum wages, merger review, and labour market regulation.&lt;br /&gt;
&lt;br /&gt;
== Monopsony and merger policy ==&lt;br /&gt;
&lt;br /&gt;
Merger review has traditionally focused on product markets, examining whether a transaction would raise prices for consumers. A growing body of work argues that mergers should also be assessed for their effects on labour markets, since a merger between employers can reduce competition for workers and depress wages. Some authorities have begun to incorporate labour market effects into their analysis.&lt;br /&gt;
&lt;br /&gt;
Assessing these effects requires defining labour markets, measuring concentration, and estimating the wage effects of changes in employer power. These tasks are challenging but increasingly feasible with detailed administrative data, and they represent an important frontier in competition policy.&lt;br /&gt;
&lt;br /&gt;
== Policy responses ==&lt;br /&gt;
&lt;br /&gt;
Policy responses to monopsony include minimum wages, which can raise pay and employment in monopsonistic markets by counteracting employer power; antitrust enforcement to prevent excessive concentration; restrictions on non-compete agreements and other practices that limit worker mobility; and support for collective bargaining. Each instrument has advantages and limitations, and their appropriate use depends on the sources of monopsony power.&lt;br /&gt;
&lt;br /&gt;
The evidence on minimum wages in monopsonistic markets suggests that moderate increases can raise pay without reducing employment, contrary to the prediction of the competitive model. This finding has influenced policy debates in many countries and illustrates how changes in economic theory can reshape the assessment of long-standing policies.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Monopoly]]&lt;br /&gt;
* [[Labour Market]]&lt;br /&gt;
* [[Minimum Wage]]&lt;br /&gt;
* [[Market Power]]&lt;br /&gt;
* [[Buyer Power]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Labour economics literature on monopsony and wage setting.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;OECD work on competition in labour markets.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;National Bureau of Economic Research research on employer concentration.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Competition authority guidance on buyer power.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Merger&amp;diff=199</id>
		<title>Merger</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Merger&amp;diff=199"/>
		<updated>2026-10-06T04:45:30Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Merger&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;A &#039;&#039;&#039;merger&#039;&#039;&#039; is the combination of two or more companies into a single entity. Mergers are a form of corporate restructuring and are undertaken to achieve growth, gain market share, realise synergies, diversify, or acquire capabilities. A merger differs from an acquisition, in which one company purchases another, though the terms are often used interchangeably, and many transactions combine elements of both.&lt;br /&gt;
&lt;br /&gt;
== Types ==&lt;br /&gt;
&lt;br /&gt;
Mergers are classified by the relationship between the firms involved. A &#039;&#039;&#039;horizontal merger&#039;&#039;&#039; combines firms in the same industry and at the same stage of production. It can increase market concentration and market power, and is closely scrutinised by competition authorities. A &#039;&#039;&#039;vertical merger&#039;&#039;&#039; combines firms at different stages of the supply chain, such as a manufacturer and a supplier or distributor. It may create efficiencies but can also foreclose competitors from inputs or customers. A &#039;&#039;&#039;conglomerate merger&#039;&#039;&#039; combines firms in unrelated businesses, often motivated by diversification.&lt;br /&gt;
&lt;br /&gt;
Mergers may also be classified by the form of combination, such as statutory mergers, in which one firm absorbs another, and consolidations, in which a new entity is created. The method of payment, whether cash, stock, or a mix, affects the incentives and the risk sharing between the parties.&lt;br /&gt;
&lt;br /&gt;
== Motives ==&lt;br /&gt;
&lt;br /&gt;
Mergers are motivated by several factors. &#039;&#039;&#039;Synergies&#039;&#039;&#039; arise when the combined firm is worth more than the sum of its parts, through cost savings from eliminating duplication, economies of scale, or revenue enhancements from cross-selling. &#039;&#039;&#039;Market power&#039;&#039;&#039; can be increased by combining competitors, allowing the merged firm to raise prices or reduce output. &#039;&#039;&#039;Diversification&#039;&#039;&#039; reduces risk by spreading across businesses and markets, though shareholders can diversify on their own. &#039;&#039;&#039;Acquiring technology or talent&#039;&#039;&#039; can be faster than building capabilities internally.&lt;br /&gt;
&lt;br /&gt;
Managerial motives may also play a role. Empire building, in which managers pursue growth to increase their compensation and prestige, and hubris, in which managers overestimate their ability to create value, are often cited as explanations for value-destroying mergers. Agency problems between managers and shareholders can lead to mergers that serve managerial interests rather than shareholder value.&lt;br /&gt;
&lt;br /&gt;
== Effects and evidence ==&lt;br /&gt;
&lt;br /&gt;
Empirical research on mergers finds mixed results. Studies generally find that target shareholders gain, receiving a premium over the pre-announcement price, while acquiring shareholders often earn zero or negative abnormal returns. The combined effect on total value is typically small and sometimes negative. These findings suggest that much of the value created is transferred to target shareholders through the premium, and that acquirers often overpay.&lt;br /&gt;
&lt;br /&gt;
Post-merger performance is mixed, with many deals failing to achieve the projected synergies. Integration challenges, cultural differences, and the diversion of management attention are common causes of underperformance. The evidence nonetheless shows that some mergers create substantial value, and research has sought to identify the characteristics of successful deals.&lt;br /&gt;
&lt;br /&gt;
== Regulation ==&lt;br /&gt;
&lt;br /&gt;
Mergers are subject to competition law in most jurisdictions. Authorities review transactions to determine whether they would substantially lessen competition, and they may prohibit the transaction, require remedies such as divestitures, or approve it with conditions. The review process considers market definition, concentration measures, the closeness of competition between the parties, barriers to entry, and efficiencies.&lt;br /&gt;
&lt;br /&gt;
The scope of merger control has expanded, with authorities examining transactions in digital markets, where network effects and data advantages can create durable market power, and in sectors such as healthcare and agriculture. International coordination is important because large transactions may require approval in multiple jurisdictions, and divergent outcomes can complicate completion.&lt;br /&gt;
&lt;br /&gt;
== Merger waves ==&lt;br /&gt;
&lt;br /&gt;
Mergers occur in waves, clustering in periods of economic expansion and buoyant stock markets. Several waves have been documented, including the conglomerate wave of the 1960s, the leveraged buyout wave of the 1980s, the strategic merger wave of the 1990s, and the cross-border and private equity wave of the 2000s. Each wave has been associated with particular financing conditions, regulatory attitudes, and business strategies.&lt;br /&gt;
&lt;br /&gt;
Explanations for merger waves include economic shocks that create industry restructuring opportunities, periods of low financing costs that reduce the cost of acquisitions, and waves of optimism that raise valuations and encourage deal-making. The clustering of activity suggests that mergers are driven partly by common factors and by imitation, and that the timing of deals matters for their outcomes, since acquisitions made near market peaks tend to perform poorly.&lt;br /&gt;
&lt;br /&gt;
== Cross-border mergers ==&lt;br /&gt;
&lt;br /&gt;
Cross-border mergers allow firms to enter new markets, acquire technology, and diversify geographically. They are influenced by differences in market size, growth prospects, regulation, and corporate governance. Emerging-market firms have increasingly acquired assets in advanced economies, a trend that has attracted attention from regulators concerned about the ownership of strategic assets.&lt;br /&gt;
&lt;br /&gt;
Cross-border transactions face additional complexities, including differences in accounting standards, labour law, and business culture, as well as political and regulatory scrutiny. National security reviews have become more common, particularly for investment in technology, infrastructure, and natural resources, and they can delay or block transactions. Navigating this environment requires careful planning and, often, commitments regarding local investment and employment.&lt;br /&gt;
&lt;br /&gt;
== Post-merger integration ==&lt;br /&gt;
&lt;br /&gt;
Integration is the most challenging stage of a merger and a frequent cause of failure. Combining operations, systems, and cultures takes time and management attention, and the expected synergies may not materialise. Key integration tasks include aligning organisational structures, retaining key talent, harmonising compensation and benefits, and communicating with customers, employees, and investors.&lt;br /&gt;
&lt;br /&gt;
Research emphasises the importance of integration planning, clear leadership, and realistic synergy targets. Cultural fit is often cited as a critical factor, and differences in decision-making styles, risk tolerance, and communication norms can undermine the combination. The track record suggests that disciplined acquirers who focus on strategic fit and execute integration well create more value than those who pursue growth for its own sake.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Acquisition]]&lt;br /&gt;
* [[Competition Policy]]&lt;br /&gt;
* [[Synergy]]&lt;br /&gt;
* [[Goodwill]]&lt;br /&gt;
* [[Duopoly]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Competition authority guidance on merger assessment.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;OECD work on merger control and remedies.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;Corporate finance literature on merger performance.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Journal research on mergers and acquisitions.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Market_Capitalization&amp;diff=198</id>
		<title>Market Capitalization</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Market_Capitalization&amp;diff=198"/>
		<updated>2026-10-06T04:45:29Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Market Capitalization&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Market capitalisation&#039;&#039;&#039;, often called market cap, is the total market value of a company&#039;s outstanding shares of stock. It is calculated by multiplying the share price by the number of shares outstanding. Market capitalisation is a widely used measure of a company&#039;s size and is used to classify firms into categories such as large cap, mid cap, and small cap, and to construct stock market indices.&lt;br /&gt;
&lt;br /&gt;
== Calculation and variations ==&lt;br /&gt;
&lt;br /&gt;
The basic calculation uses the current share price and the total number of shares outstanding. Variations include &#039;&#039;&#039;free-float market capitalisation&#039;&#039;&#039;, which counts only shares available for trading and excludes strategic holdings, government stakes, and locked-up shares. Free-float measures are often used for index construction because they better reflect the shares actually available to investors. &#039;&#039;&#039;Fully diluted market capitalisation&#039;&#039;&#039; adds shares that could be issued through the exercise of options, warrants, and convertible securities.&lt;br /&gt;
&lt;br /&gt;
Market capitalisation changes continuously with the share price and with changes in the number of shares, which occur through issuance, buybacks, and stock splits. Stock splits change the number of shares and the price proportionally without changing market capitalisation.&lt;br /&gt;
&lt;br /&gt;
== Interpretation and limitations ==&lt;br /&gt;
&lt;br /&gt;
Market capitalisation reflects the market&#039;s valuation of a company&#039;s equity. It is influenced by expectations of future earnings, growth, risk, and the cost of capital, and it can diverge substantially from book value, which measures historical accounting value. The ratio of market to book value, sometimes called Tobin&#039;s Q at the firm level, provides a measure of the value created beyond recorded assets.&lt;br /&gt;
&lt;br /&gt;
Market capitalisation has limitations. It measures equity value only and ignores debt, so two firms with the same equity value may have very different enterprise values when debt is included. It also ignores off-balance-sheet items and contingent liabilities, and it can be inflated by market sentiment and speculative bubbles. For financial firms, equity value must be interpreted alongside regulatory capital requirements.&lt;br /&gt;
&lt;br /&gt;
== Enterprise value and comparison ==&lt;br /&gt;
&lt;br /&gt;
A more comprehensive measure of a company&#039;s value is enterprise value, which equals market capitalisation plus debt minus cash. Enterprise value reflects the total value of the operating business and is used to compare firms with different capital structures. Ratios such as enterprise value to EBITDA are widely used in valuation and merger analysis.&lt;br /&gt;
&lt;br /&gt;
Market capitalisation is also used to rank companies and to construct indices. Index providers weight constituents by market capitalisation, so larger companies have greater influence on index performance. This weighting scheme has implications for investors, because it concentrates exposure in the largest firms, and for corporate governance, because it can create incentives for index inclusion.&lt;br /&gt;
&lt;br /&gt;
== Uses and applications ==&lt;br /&gt;
&lt;br /&gt;
Market capitalisation is used to classify companies for investment purposes. Large-cap firms are typically more liquid, more diversified, and more stable than small-cap firms, but they may grow more slowly. Small-cap firms offer potential for higher growth but also greater risk and lower liquidity. Institutional investors often have mandates that specify the size categories they may hold.&lt;br /&gt;
&lt;br /&gt;
Market capitalisation is also used in regulation. Some jurisdictions use it as a criterion for listing requirements, disclosure obligations, and the composition of indices. It is a convenient and widely understood measure, though analysts supplement it with other metrics to assess value, including earnings multiples, cash-flow measures, and balance-sheet strength.&lt;br /&gt;
&lt;br /&gt;
== Market capitalisation and index construction ==&lt;br /&gt;
&lt;br /&gt;
Market capitalisation weighting is the most common method for constructing equity indices. Under this approach, each company&#039;s weight in the index is proportional to its market capitalisation, so the index reflects the aggregate value of the listed sector. This method requires no rebalancing when prices change, since weights adjust automatically, and it is transparent and easy to replicate.&lt;br /&gt;
&lt;br /&gt;
Critics note that cap weighting concentrates the index in the largest and often most expensive stocks, which may increase vulnerability to bubbles. Alternatives include equal weighting, fundamental weighting based on sales, earnings, or book value, and minimum-variance weighting. Research on the relative performance of these approaches is mixed, and the choice depends on the investor&#039;s objectives and on the evidence about factor returns.&lt;br /&gt;
&lt;br /&gt;
== Market capitalisation and corporate control ==&lt;br /&gt;
&lt;br /&gt;
Market capitalisation affects corporate control and governance. A high valuation makes a company&#039;s stock an attractive acquisition currency and can shield it from hostile takeovers, since a bidder must pay a premium. A low valuation can make a company a takeover target. The market value of equity also determines the weight of a company in indices and the size of the funds that track them, which can influence liquidity and cost of capital.&lt;br /&gt;
&lt;br /&gt;
For managers, the share price is a performance signal and a component of compensation. However, an excessive focus on short-term share price can encourage decisions that boost current earnings at the expense of long-term value, a concern that motivates the use of long-horizon metrics and of governance arrangements that align managerial incentives with sustainable value creation.&lt;br /&gt;
&lt;br /&gt;
== International comparisons ==&lt;br /&gt;
&lt;br /&gt;
Market capitalisation differs greatly across countries and is influenced by the size and development of the domestic equity market, the presence of large listed companies, and the openness of the market to foreign investors. Countries with large equity markets tend to have higher market capitalisation relative to GDP, a ratio sometimes used as a measure of financial development.&lt;br /&gt;
&lt;br /&gt;
The ratio of market capitalisation to GDP, associated with Warren Buffett as an indicator of overall valuation, compares the total value of listed companies with the size of the economy. High ratios may indicate overvaluation, while low ratios may indicate undervaluation, though the measure is sensitive to interest rates, growth prospects, and the share of the economy that is listed. It is best used alongside other indicators and with an understanding of its limitations.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Equity]]&lt;br /&gt;
* [[Enterprise Value]]&lt;br /&gt;
* [[Stock Market]]&lt;br /&gt;
* [[Valuation]]&lt;br /&gt;
* [[Share]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Corporate finance texts on valuation and market value.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;Index provider methodologies on market capitalisation weighting.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;OECD work on capital markets and corporate governance.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Financial market data and analysis on listed companies.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Marginal_Revenue&amp;diff=197</id>
		<title>Marginal Revenue</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Marginal_Revenue&amp;diff=197"/>
		<updated>2026-10-06T04:45:28Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Marginal Revenue&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Marginal revenue&#039;&#039;&#039; is the additional revenue a firm receives from selling one more unit of output. It is a central concept in the theory of the firm, because profit maximisation requires that marginal revenue equal marginal cost. Marginal revenue differs from price for firms facing a downward-sloping demand curve, since selling an additional unit requires lowering the price on all units sold, so that marginal revenue is less than price.&lt;br /&gt;
&lt;br /&gt;
== Calculation ==&lt;br /&gt;
&lt;br /&gt;
Marginal revenue is the change in total revenue divided by the change in quantity. For a firm facing a linear demand curve, marginal revenue declines twice as fast as price, so the marginal revenue curve lies below the demand curve and has twice the slope. For a perfectly competitive firm, which faces a horizontal demand curve at the market price, marginal revenue equals price.&lt;br /&gt;
&lt;br /&gt;
The relationship between marginal revenue and the elasticity of demand is important. Marginal revenue equals price times one minus the reciprocal of the absolute value of the price elasticity of demand. When demand is elastic, marginal revenue is positive; when demand is unit elastic, marginal revenue is zero; and when demand is inelastic, marginal revenue is negative. A profit-maximising firm therefore never operates where demand is inelastic, because it could raise price and increase both revenue and profit.&lt;br /&gt;
&lt;br /&gt;
== Profit maximisation ==&lt;br /&gt;
&lt;br /&gt;
A firm maximises profit by producing the quantity at which marginal revenue equals marginal cost, provided that price exceeds average variable cost in the short run and that the firm covers all costs in the long run. At this output, the firm sets the price on the demand curve, earning a profit equal to the difference between price and average cost multiplied by quantity.&lt;br /&gt;
&lt;br /&gt;
The equality of marginal revenue and marginal cost applies across market structures. For a competitive firm, it reduces to price equals marginal cost, which yields the efficient outcome. For a monopolist, marginal revenue is below price, so the monopolist produces less and charges more than a competitive market, generating a deadweight loss.&lt;br /&gt;
&lt;br /&gt;
== Market structures ==&lt;br /&gt;
&lt;br /&gt;
Marginal revenue analysis distinguishes market structures by the shape of the demand curve facing the firm. Under perfect competition, the demand curve is horizontal, marginal revenue equals price, and firms cannot influence price. Under monopoly, the demand curve is the market demand curve, marginal revenue lies below price, and the firm has market power. Under monopolistic competition, the demand curve is downward sloping but relatively elastic because of product differentiation. Under oligopoly, the demand curve depends on the anticipated reactions of rivals, making marginal revenue more complex to determine.&lt;br /&gt;
&lt;br /&gt;
The elasticity of demand determines the markup over marginal cost. The Lerner index, the ratio of price minus marginal cost to price, equals the reciprocal of the elasticity of demand, providing a measure of market power.&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
Marginal revenue analysis is used in pricing, capacity planning, and competitive strategy. Firms set prices with reference to the elasticity of demand, charging higher markups where demand is less elastic. Pricing strategies such as price discrimination, bundling, and two-part tariffs are designed to capture more consumer surplus by segmenting markets with different elasticities.&lt;br /&gt;
&lt;br /&gt;
Marginal revenue is also central to antitrust analysis, since the ability to price above marginal cost indicates market power and potential consumer harm. Estimating marginal revenue and marginal cost in practice is challenging, requiring demand estimation and cost analysis, and is an important area of applied industrial organisation.&lt;br /&gt;
&lt;br /&gt;
== Marginal revenue and pricing strategy ==&lt;br /&gt;
&lt;br /&gt;
Marginal revenue analysis underpins pricing strategy. Firms set prices with reference to the elasticity of demand, charging higher markups where demand is less elastic. This principle explains why firms charge more to customers with few alternatives, such as travellers booking late, and less to price-sensitive customers, such as those buying in advance. It also underlies practices such as price discrimination and yield management, in which capacity is allocated across customer segments to maximise revenue.&lt;br /&gt;
&lt;br /&gt;
The markup over marginal cost depends on the structure of competition. In markets with many close substitutes, elasticity is high and markups are low; in markets with few substitutes or with switching costs, elasticity is low and markups are high. Digital markets illustrate both tendencies, with intense competition in some segments and strong lock-in in others. Understanding these dynamics is essential for predicting how prices respond to entry, merger, or regulation.&lt;br /&gt;
&lt;br /&gt;
== Marginal revenue in multi-product firms ==&lt;br /&gt;
&lt;br /&gt;
Most firms sell multiple products, and marginal revenue analysis extends to product lines. When products are substitutes, sales of one cannibalise sales of another, so the marginal revenue of an additional sale is lower than the price. When products are complements, sales reinforce one another, raising the value of each. Firms account for these interactions when setting prices and product ranges, and they may use bundling, tying, and loss-leader pricing to maximise profit.&lt;br /&gt;
&lt;br /&gt;
The analysis of multi-product pricing is complex, requiring estimates of cross-price elasticities and of the structure of demand. It is important for competition policy, because practices such as tying can foreclose markets and harm consumers, and for merger review, because combining firms with overlapping product lines can raise prices.&lt;br /&gt;
&lt;br /&gt;
== Limitations and empirical challenges ==&lt;br /&gt;
&lt;br /&gt;
Estimating marginal revenue and marginal cost in practice is difficult. Marginal cost is not directly observed and must be inferred from accounting data or estimated econometrically. Marginal revenue depends on the elasticity of demand, which varies by customer, time, and market conditions and must be estimated from data. Measurement error and model misspecification can lead to misleading conclusions.&lt;br /&gt;
&lt;br /&gt;
These challenges have motivated advances in demand estimation, including the use of scanner data, discrete choice models, and experimental methods. They have also shaped the practice of competition policy, which increasingly relies on quantitative evidence, including merger simulation and estimates of upward pricing pressure, to assess the likely effects of transactions.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Marginal Cost]]&lt;br /&gt;
* [[Profit Maximisation]]&lt;br /&gt;
* [[Price Elasticity of Demand]]&lt;br /&gt;
* [[Market Power]]&lt;br /&gt;
* [[Monopoly]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Microeconomics texts on the theory of the firm.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;Industrial organisation literature on pricing and market power.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;Competition authority guidelines on market definition and power.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Journal literature on demand estimation and markup measurement.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Marginal_Propensity_to_Consume&amp;diff=196</id>
		<title>Marginal Propensity to Consume</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Marginal_Propensity_to_Consume&amp;diff=196"/>
		<updated>2026-10-06T04:45:27Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Marginal Propensity to Consume&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The &#039;&#039;&#039;marginal propensity to consume&#039;&#039;&#039; (MPC) is the fraction of an additional unit of disposable income that households spend on consumption rather than saving. It is a central parameter in Keynesian economics and in the analysis of the multiplier. The marginal propensity to save (MPS) is the complement of the MPC, so that MPC plus MPS equals one, in a simple model without taxes or imports.&lt;br /&gt;
&lt;br /&gt;
== Definition and measurement ==&lt;br /&gt;
&lt;br /&gt;
The MPC is defined as the change in consumption divided by the change in disposable income. It differs from the average propensity to consume, which is total consumption divided by total disposable income. The MPC is typically between zero and one, meaning that households spend part of any additional income and save the rest. For very low-income households, the MPC may approach or even exceed one if they borrow to finance consumption.&lt;br /&gt;
&lt;br /&gt;
The MPC is estimated using household survey data, aggregate time-series data, and natural experiments such as tax rebates and lottery winnings. Estimates vary across households and over time, with lower-income and liquidity-constrained households typically exhibiting higher MPCs than wealthier households.&lt;br /&gt;
&lt;br /&gt;
== Determinants ==&lt;br /&gt;
&lt;br /&gt;
Several factors influence the MPC. Income and wealth matter: poorer households consume a larger share of additional income because they have unmet needs and limited access to credit. Uncertainty raises precautionary saving and lowers the MPC. Interest rates affect the incentive to save. Age and life-cycle stage influence consumption and saving behaviour. Expectations about future income, including the permanence of an income change, strongly affect the MPC, since permanent income changes are consumed to a greater extent than temporary ones.&lt;br /&gt;
&lt;br /&gt;
The permanent income hypothesis and the life-cycle hypothesis emphasise that consumption depends on lifetime resources, not just current income. Under these theories, the MPC out of temporary income changes is small, because households smooth consumption. Empirical evidence supports partial consumption smoothing, with significant but not complete offsets.&lt;br /&gt;
&lt;br /&gt;
== Role in the multiplier ==&lt;br /&gt;
&lt;br /&gt;
The MPC is a key determinant of the Keynesian multiplier, which equals one divided by the MPS in a simple closed economy. A higher MPC means that each round of spending generates more subsequent spending, producing a larger multiplier. When taxes and imports are included, the multiplier is reduced, and the relevant parameter becomes the marginal propensity to consume domestic goods out of national income.&lt;br /&gt;
&lt;br /&gt;
The MPC also affects the effectiveness of fiscal policy. Transfers and tax cuts directed at households with high MPCs have larger effects on aggregate demand than measures directed at households that save the additional income. This insight informs the design of stimulus measures and the targeting of support during downturns.&lt;br /&gt;
&lt;br /&gt;
== Policy and empirical relevance ==&lt;br /&gt;
&lt;br /&gt;
The MPC is central to the analysis of tax rebates, stimulus payments, and transfer programmes. Empirical studies of tax rebates in several countries have found that a substantial share of the payments is spent within a few months, with MPCs ranging widely across households. These estimates are used to calibrate the expected effect of fiscal measures on output.&lt;br /&gt;
&lt;br /&gt;
The MPC also matters for monetary policy transmission, because it shapes how households respond to changes in interest rates and wealth. Understanding heterogeneity in the MPC across the income and wealth distribution has become an important area of research, with implications for the design of policy to support consumption and for the distributional effects of macroeconomic shocks.&lt;br /&gt;
&lt;br /&gt;
== The MPC over the life cycle ==&lt;br /&gt;
&lt;br /&gt;
The life-cycle hypothesis, developed by Franco Modigliani, holds that individuals plan consumption and saving over their lifetimes, borrowing when young, saving during middle age, and dissaving in retirement. Under this hypothesis, the MPC out of a temporary income change is small, because individuals smooth consumption by adjusting saving. The MPC out of a permanent change is larger, because it affects lifetime resources.&lt;br /&gt;
&lt;br /&gt;
The permanent income hypothesis, associated with Milton Friedman, makes a similar point, distinguishing transitory from permanent income. Empirical tests have found that consumption is more sensitive to current income than the pure versions of these theories predict, a phenomenon attributed to liquidity constraints, precautionary saving, and myopia. These departures from the benchmark explain why fiscal stimuli can be effective and why the MPC matters for policy.&lt;br /&gt;
&lt;br /&gt;
== Heterogeneity in the MPC ==&lt;br /&gt;
&lt;br /&gt;
The MPC varies across households. Liquidity-constrained households, which cannot borrow against future income, have high MPCs and account for a large share of the aggregate consumption response to income changes. Wealthy households, by contrast, tend to have low MPCs because their consumption is less sensitive to current income. Households with high debt burdens may use additional income to deleverage rather than to consume.&lt;br /&gt;
&lt;br /&gt;
This heterogeneity has implications for policy. Interventions targeted at liquidity-constrained households, such as transfers or refundable tax credits, have larger stimulus effects than broad-based measures. The distributional consequences also differ, and policymakers may consider both the effectiveness and the equity of alternative measures.&lt;br /&gt;
&lt;br /&gt;
== The MPC and monetary policy ==&lt;br /&gt;
&lt;br /&gt;
The MPC affects the transmission of monetary policy. Lower interest rates reduce the cost of borrowing and increase the value of assets, raising consumption. The strength of this effect depends on the MPC out of wealth and on the distribution of wealth and debt across households. Households with high debt burdens may reduce consumption when rates rise, amplifying the effect, while households with large financial assets may increase consumption when rates fall.&lt;br /&gt;
&lt;br /&gt;
Understanding these channels requires household-level data and models that capture heterogeneity. Recent research has used administrative and survey data to estimate the distributional effects of monetary policy, informing debates about the appropriate stance and about the distributional consequences of policy choices.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Keynesian Multiplier]]&lt;br /&gt;
* [[Consumption Function]]&lt;br /&gt;
* [[Permanent Income Hypothesis]]&lt;br /&gt;
* [[Fiscal Policy]]&lt;br /&gt;
* [[Saving]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Keynesian macroeconomics texts on the consumption function.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;National Bureau of Economic Research research on household consumption.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;OECD analyses of household saving and spending.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Journal literature on tax rebates and stimulus effects.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Long_Run_Equilibrium&amp;diff=195</id>
		<title>Long Run Equilibrium</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Long_Run_Equilibrium&amp;diff=195"/>
		<updated>2026-10-06T04:45:25Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Long Run Equilibrium&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Long run equilibrium&#039;&#039;&#039; is a state in which economic forces are fully reconciled, so that there is no tendency for change. In microeconomics, it refers to a situation in which firms have fully adjusted their inputs, entry and exit have occurred, and each firm earns only normal profit. In macroeconomics, it refers to a situation in which the economy operates at its potential output, with unemployment at its natural rate and no unanticipated inflation. The long run differs from the short run in that all factors of production can vary and all adjustments are complete.&lt;br /&gt;
&lt;br /&gt;
== Microeconomic long run equilibrium ==&lt;br /&gt;
&lt;br /&gt;
In a perfectly competitive market, long run equilibrium occurs when price equals minimum average total cost, so that firms earn only normal profit and there is no incentive for entry or exit. If firms are earning above-normal profit, new firms enter, increasing supply and lowering price until profit is normal. If firms are incurring losses, firms exit, reducing supply and raising price until losses are eliminated. The number of firms adjusts endogenously to the level consistent with zero economic profit.&lt;br /&gt;
&lt;br /&gt;
For a firm, long run equilibrium also requires that the firm be operating at the efficient scale, the output level at which long-run average cost is minimised, and that it have chosen the optimal combination of inputs. The long-run equilibrium condition is therefore more restrictive than the short-run condition, which allows for fixed inputs and for profits or losses.&lt;br /&gt;
&lt;br /&gt;
== Macroeconomic long run equilibrium ==&lt;br /&gt;
&lt;br /&gt;
In macroeconomics, long run equilibrium is characterised by full employment, with output at its potential level and unemployment at its natural rate. The natural rate of unemployment reflects frictions such as job search, matching, and structural change; it is not zero. In the long run, monetary policy affects the price level and inflation but not output or employment, a proposition known as the neutrality of money.&lt;br /&gt;
&lt;br /&gt;
The transition from short-run to long-run equilibrium involves adjustment of prices and wages and of expectations. If output is above potential, inflation accelerates, and expectations adjust upward, shifting the short-run aggregate supply curve until output returns to potential. If output is below potential, inflation decelerates, and the adjustment works in reverse. The long-run aggregate supply curve is therefore vertical at potential output, reflecting the independence of output from the price level in the long run.&lt;br /&gt;
&lt;br /&gt;
== Adjustment mechanisms ==&lt;br /&gt;
&lt;br /&gt;
Adjustment to long-run equilibrium operates through several mechanisms. In product markets, entry and exit, price competition, and innovation restore normal profits. In labour markets, wage adjustment, migration, and changes in participation reconcile labour supply and demand. In financial markets, interest rates equilibrate saving and investment. In the macroeconomy, expectations and price adjustment move output toward potential.&lt;br /&gt;
&lt;br /&gt;
The speed of adjustment varies. Some markets adjust quickly, while others, such as labour markets, may adjust slowly because of contracts, regulation, and information lags. Persistent deviations from long-run equilibrium, such as prolonged unemployment, are a central concern of macroeconomic policy, and they motivate policies to reduce structural rigidities and to support demand during downturns.&lt;br /&gt;
&lt;br /&gt;
== Policy implications ==&lt;br /&gt;
&lt;br /&gt;
The concept of long run equilibrium shapes policy. If the economy self-corrects to full employment, the role of stabilisation policy is to reduce the amplitude and duration of deviations, and monetary and fiscal policy are viewed as short-run tools. If adjustment is slow or the natural rate is itself affected by the level of demand, a phenomenon known as hysteresis, then policy can have lasting effects on potential output, and the case for active demand management is stronger.&lt;br /&gt;
&lt;br /&gt;
The long run is also the horizon for growth policy. Policies that affect investment, education, innovation, and the efficiency of resource allocation determine the level and growth of potential output, and thus the position of the long-run aggregate supply curve. Understanding long-run equilibrium is therefore essential for both stabilisation and growth policy.&lt;br /&gt;
&lt;br /&gt;
== Long run equilibrium and hysteresis ==&lt;br /&gt;
&lt;br /&gt;
The concept of long-run equilibrium assumes that the economy eventually returns to potential output. However, persistent deviations can have lasting effects, a phenomenon known as hysteresis. Prolonged unemployment can erode skills and attachment to the labour force, reducing the natural rate of employment. Prolonged weakness in investment can reduce the capital stock and potential output. In such cases, the long-run equilibrium itself shifts as a result of temporary shocks.&lt;br /&gt;
&lt;br /&gt;
Hysteresis has important policy implications. If the natural rate is affected by demand, then stabilisation policy can have permanent effects, and the case for intervening during downturns is stronger. The concept has been used to explain why deep recessions are followed by slow recoveries and why active labour market policies can help to prevent the erosion of skills and employability.&lt;br /&gt;
&lt;br /&gt;
== Disequilibrium and adjustment costs ==&lt;br /&gt;
&lt;br /&gt;
Adjustment to long-run equilibrium is not instantaneous. Prices and wages may be sticky because of contracts, menu costs, and coordination problems. Capital may be immobile in the short run. Information may be imperfect. These frictions mean that the economy can remain in disequilibrium for extended periods, and that the path to equilibrium matters as much as the destination.&lt;br /&gt;
&lt;br /&gt;
Understanding the adjustment process requires models of price setting and of expectations. New Keynesian models, which incorporate sticky prices and forward-looking behaviour, provide a framework for analysing the short-run deviations and the gradual return to potential. These models inform the analysis of monetary and fiscal policy and of the trade-offs involved in stabilisation.&lt;br /&gt;
&lt;br /&gt;
== Policy frameworks and the long run ==&lt;br /&gt;
&lt;br /&gt;
Policy frameworks are designed with the long run in mind. Inflation-targeting regimes aim to anchor long-run inflation expectations, while fiscal rules seek to ensure debt sustainability. Structural policies, including investment in education and infrastructure and reforms to product and labour markets, aim to raise potential output and thereby shift the long-run equilibrium.&lt;br /&gt;
&lt;br /&gt;
The interaction between short-run stabilisation and long-run growth is a recurring theme. Policies that support demand in the short run can, through hysteresis, also improve long-run outcomes, while policies that raise potential output can reduce inflationary pressure and create room for sustained growth. Recognising the links between the short run and the long run is essential for coherent economic policy.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Short Run]]&lt;br /&gt;
* [[Natural Rate of Unemployment]]&lt;br /&gt;
* [[Potential Output]]&lt;br /&gt;
* [[Market Equilibrium]]&lt;br /&gt;
* [[Neutrality of Money]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Microeconomics and macroeconomics texts on equilibrium.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;OECD analyses of potential output and the output gap.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;International Monetary Fund research on structural unemployment.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Central bank research on the long-run neutrality of money.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Liquid_Asset&amp;diff=194</id>
		<title>Liquid Asset</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Liquid_Asset&amp;diff=194"/>
		<updated>2026-10-06T04:45:24Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Liquid Asset&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;A &#039;&#039;&#039;liquid asset&#039;&#039;&#039; is an asset that can be converted into cash quickly, with minimal loss of value and low transaction costs. Liquidity is a matter of degree, and assets are often ranked along a spectrum from highly liquid, such as cash and bank deposits, to illiquid, such as real estate and private equity. Liquidity is important for households managing unexpected expenses, for firms meeting working capital needs, and for financial institutions managing depositor withdrawals and regulatory requirements.&lt;br /&gt;
&lt;br /&gt;
== Dimensions of liquidity ==&lt;br /&gt;
&lt;br /&gt;
Liquidity has several dimensions. &#039;&#039;&#039;Market liquidity&#039;&#039;&#039; refers to the ease of trading an asset without moving its price, and it depends on the depth of the market, the number of participants, and the presence of market makers. &#039;&#039;&#039;Funding liquidity&#039;&#039;&#039; refers to the ability of an institution to raise cash, either by selling assets or by borrowing, and it is closely linked to market liquidity, since assets are easier to sell in liquid markets.&lt;br /&gt;
&lt;br /&gt;
A related concept is the bid-ask spread, which measures the cost of transacting. Narrow spreads indicate high liquidity. Other indicators include trading volume, market depth, and the time required to execute a trade. Assets can become illiquid suddenly, especially under stress, when market makers withdraw and buyers disappear, a phenomenon observed in several markets during the 2008 crisis and the pandemic shock.&lt;br /&gt;
&lt;br /&gt;
== Money and near-money ==&lt;br /&gt;
&lt;br /&gt;
Economists distinguish between money and near-money. Narrow measures of money include currency and demand deposits, which are directly usable for transactions. Broader measures include savings deposits, money market instruments, and short-term securities, which can be converted into money quickly but are not directly used for payment. The monetary aggregates used by central banks are constructed to reflect these degrees of liquidity.&lt;br /&gt;
&lt;br /&gt;
Money market instruments, such as Treasury bills, commercial paper, and certificates of deposit, are examples of highly liquid assets that yield a return. They play a central role in the financial system, providing short-term funding and a place to hold cash balances efficiently.&lt;br /&gt;
&lt;br /&gt;
== Liquidity management ==&lt;br /&gt;
&lt;br /&gt;
Households and firms manage liquidity by holding a buffer of liquid assets to meet unexpected needs and to avoid the cost of raising funds in a hurry. The theory of the precautionary demand for money explains why agents hold liquid balances even when higher-yielding assets are available. Financial institutions manage liquidity to meet withdrawals and regulatory requirements, such as the liquidity coverage ratio introduced after the global financial crisis, which requires banks to hold sufficient high-quality liquid assets to survive a period of stress.&lt;br /&gt;
&lt;br /&gt;
Central banks provide liquidity to the financial system through lending facilities and open market operations, acting as the lender of last resort during crises. The availability of central bank liquidity can substitute for private liquidity in stressed conditions, though it also creates moral hazard.&lt;br /&gt;
&lt;br /&gt;
== Liquidity and asset pricing ==&lt;br /&gt;
&lt;br /&gt;
Liquidity affects asset prices. Illiquid assets must offer higher expected returns to compensate holders for the difficulty of selling them, a phenomenon known as the liquidity premium. During crises, liquidity evaporates, and the premium spikes, causing sharp price declines. The interaction between funding and market liquidity can create a vicious cycle, in which falling asset prices trigger margin calls, forcing sales that depress prices further.&lt;br /&gt;
&lt;br /&gt;
These dynamics have been central to understanding financial instability and to the design of regulation. The recognition that liquidity can disappear precisely when it is needed most has led to requirements for liquid asset buffers, to central bank facilities that provide liquidity against a broad range of collateral, and to international standards for liquidity risk management.&lt;br /&gt;
&lt;br /&gt;
== Liquidity and financial stability ==&lt;br /&gt;
&lt;br /&gt;
Liquidity is central to financial stability. Financial institutions rely on liquid assets to meet withdrawals and to absorb shocks, and the composition and quality of those assets matter for resilience. The global financial crisis demonstrated that assets assumed to be liquid could become illiquid under stress, and that the failure to manage liquidity had systemic consequences, as institutions were forced to sell assets at fire-sale prices.&lt;br /&gt;
&lt;br /&gt;
Regulatory frameworks have since incorporated liquidity requirements, including the liquidity coverage ratio, which requires banks to hold sufficient high-quality liquid assets to survive a severe stress scenario, and the net stable funding ratio, which limits reliance on short-term funding. These requirements aim to make the financial system more resilient, though they can also create incentives for institutions to hold similar assets, potentially amplifying stress if those assets become illiquid simultaneously.&lt;br /&gt;
&lt;br /&gt;
== Liquidity in asset markets ==&lt;br /&gt;
&lt;br /&gt;
Liquidity varies across asset classes and over time. Government bonds of major economies are among the most liquid assets, while corporate bonds, emerging-market debt, and real estate are less liquid. Liquidity tends to decline in periods of stress, when market makers withdraw and risk appetite falls, and it can disappear entirely in extreme conditions, as seen in some structured credit markets during the crisis.&lt;br /&gt;
&lt;br /&gt;
The decline in liquidity under stress has motivated research on its drivers and on the role of market structure. The increasing importance of electronic trading and of principal trading firms has changed the provision of liquidity, with implications for resilience. Understanding the dynamics of liquidity is important for investors, for regulators, and for central banks that may need to provide liquidity in times of stress.&lt;br /&gt;
&lt;br /&gt;
== Liquidity and portfolio choice ==&lt;br /&gt;
&lt;br /&gt;
Portfolio choice involves a trade-off between return and liquidity. Liquid assets typically offer lower returns, because investors value the option to convert them to cash quickly. Illiquid assets offer higher expected returns but carry the risk that they cannot be sold when needed, or can be sold only at a discount. The liquidity premium compensates investors for bearing this risk.&lt;br /&gt;
&lt;br /&gt;
Investors manage this trade-off by holding a mix of liquid and illiquid assets, tailored to their needs and horizons. Pension funds and insurers, with long-dated liabilities, can hold more illiquid assets, while money market funds and banks, with shorter horizons and potential withdrawals, need more liquid portfolios. Regulation and accounting rules also influence choices by penalising or rewarding certain asset types.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Money]]&lt;br /&gt;
* [[Money Market]]&lt;br /&gt;
* [[Liquidity Risk]]&lt;br /&gt;
* [[Central Bank]]&lt;br /&gt;
* [[Bank Run]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Basel Committee standards on liquidity risk management.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;Bank for International Settlements research on market liquidity.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;Central bank documentation on liquidity facilities.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Monetary economics texts on the demand for money.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Labor_Productivity&amp;diff=193</id>
		<title>Labor Productivity</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Labor_Productivity&amp;diff=193"/>
		<updated>2026-10-06T04:45:23Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Labor Productivity&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Labour productivity&#039;&#039;&#039; measures the output produced per unit of labour input, typically per hour worked or per worker. It is a key determinant of living standards, competitiveness, and long-run growth. Rising labour productivity allows an economy to produce more with the same resources, supporting higher wages, lower prices, or improved public services. Labour productivity also influences inflation, since faster productivity growth can offset wage increases without generating price pressure.&lt;br /&gt;
&lt;br /&gt;
== Measurement ==&lt;br /&gt;
&lt;br /&gt;
Labour productivity is calculated as output divided by labour input. Output may be measured as gross value added or gross output, and labour input as hours worked, number of workers, or full-time equivalents. The choice affects the resulting measure. An increase in output per worker may reflect more hours worked rather than greater efficiency, so output per hour is generally preferred as a measure of efficiency.&lt;br /&gt;
&lt;br /&gt;
International comparisons require adjustments for purchasing power parity, since output must be valued consistently across countries. Differences in the composition of output, in the share of part-time work, and in the quality of labour also complicate comparisons. Productivity can be measured at the level of the whole economy, a sector, an industry, or a firm, and each level provides different insights.&lt;br /&gt;
&lt;br /&gt;
== Determinants ==&lt;br /&gt;
&lt;br /&gt;
Labour productivity is determined by several factors. &#039;&#039;&#039;Capital intensity&#039;&#039;&#039; raises productivity because workers with more and better capital equipment can produce more. &#039;&#039;&#039;Human capital&#039;&#039;&#039;, the skills and education of workers, is a major determinant. &#039;&#039;&#039;Technology&#039;&#039;&#039; and innovation raise productivity by improving production processes and products. &#039;&#039;&#039;Organisational and managerial quality&#039;&#039;&#039; affects how efficiently inputs are combined. &#039;&#039;&#039;Institutions&#039;&#039;&#039; and &#039;&#039;&#039;infrastructure&#039;&#039;&#039; shape the environment in which firms operate, and &#039;&#039;&#039;competition&#039;&#039;&#039; can spur efficiency.&lt;br /&gt;
&lt;br /&gt;
These determinants interact. Investment in capital without complementary skills and technology may yield limited gains, and innovation without a business environment that rewards it may not translate into productivity growth. The diffusion of best practices across firms is often as important as the creation of new technologies, since a large gap typically exists between the most and least productive firms in the same industry.&lt;br /&gt;
&lt;br /&gt;
== Productivity and growth ==&lt;br /&gt;
&lt;br /&gt;
In growth accounting, output growth is decomposed into contributions from labour, capital, and total factor productivity, the residual that captures improvements in efficiency and technology. Total factor productivity growth has been the dominant source of long-run increases in living standards in advanced economies. Slowing productivity growth in many economies since the 2000s has prompted debate about the causes, including the diffusion of information technology, demographic change, measurement issues, and declining business dynamism.&lt;br /&gt;
&lt;br /&gt;
Labour productivity growth supports higher wages, but the relationship is not automatic. Wages also depend on bargaining power, labour market institutions, and the share of income accruing to labour. In recent decades, wage growth has lagged productivity growth in many advanced economies, contributing to inequality and to debates about the distribution of gains from growth.&lt;br /&gt;
&lt;br /&gt;
== Policy ==&lt;br /&gt;
&lt;br /&gt;
Policies to raise labour productivity include investment in education and training, support for research and innovation, improvements in infrastructure and digital networks, and reforms to product and labour markets that encourage competition and the reallocation of resources to more productive firms. Business environment reforms that reduce barriers to entry and growth can also help, as can measures to improve management quality and to encourage the adoption of technology.&lt;br /&gt;
&lt;br /&gt;
Measurement also matters for policy, since an accurate picture of productivity trends guides resource allocation. Statistical agencies invest in improving the measurement of output in services and the digital economy, where productivity gains are often poorly captured. Understanding the sources of productivity growth remains central to policies aimed at raising living standards.&lt;br /&gt;
&lt;br /&gt;
== Productivity and wages ==&lt;br /&gt;
&lt;br /&gt;
The link between productivity and wages is central to the analysis of living standards. In the long run, real wages tend to grow in line with productivity, because firms compete for labour and workers capture part of the gains from efficiency improvements. In the short run, the two can diverge because of cyclical conditions, changes in the terms of trade, and shifts in bargaining power.&lt;br /&gt;
&lt;br /&gt;
In recent decades, wage growth has lagged productivity growth in many advanced economies, raising questions about the distribution of gains from growth. Explanations include the decline in labour&#039;s bargaining power, the rise of market concentration, the effects of globalisation, and the growing share of income accruing to capital and to top earners. Understanding these trends is central to debates about inequality and about policies to ensure that productivity gains are widely shared.&lt;br /&gt;
&lt;br /&gt;
== Productivity and structural change ==&lt;br /&gt;
&lt;br /&gt;
Productivity growth is uneven across sectors and firms. Structural change, the reallocation of resources from low- to high-productivity sectors, contributes to aggregate productivity growth, but the pace of reallocation varies. In some economies, resources remain trapped in low-productivity firms and sectors, a phenomenon known as misallocation, which depresses aggregate productivity. Barriers to entry and exit, weak competition, and distorted incentives can all contribute to misallocation.&lt;br /&gt;
&lt;br /&gt;
Within industries, a large gap often persists between the most and least productive firms, even when they operate in the same market. The diffusion of best practices, through competition, trade, and the movement of workers and managers, is a major source of aggregate productivity gains. Policies that encourage diffusion, including openness and investment in skills, can raise productivity without requiring frontier innovation.&lt;br /&gt;
&lt;br /&gt;
== Measurement challenges ==&lt;br /&gt;
&lt;br /&gt;
Measuring productivity is difficult, especially in services and in the digital economy, where output is hard to define and quality change is rapid. Free digital services, such as search and maps, generate consumer benefits that are not captured in GDP, and the measurement of output in sectors such as finance and healthcare is contentious. These issues can lead to underestimation of productivity growth and can distort comparisons across countries and over time.&lt;br /&gt;
&lt;br /&gt;
Statisticians and researchers continue to improve measurement, using satellite accounts, quality-adjusted price indices, and alternative indicators of economic activity. Accurate measurement matters for policy, because it informs judgements about the pace of potential growth and the effectiveness of structural reforms.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Productivity]]&lt;br /&gt;
* [[Total Factor Productivity]]&lt;br /&gt;
* [[Human Capital]]&lt;br /&gt;
* [[Economic Growth]]&lt;br /&gt;
* [[Unit Labour Cost]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;OECD work on productivity measurement and policy.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;World Bank research on productivity and competitiveness.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;International Labour Organization data on labour productivity.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;National statistical agency methodology for productivity statistics.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Keynesian_Multiplier&amp;diff=192</id>
		<title>Keynesian Multiplier</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Keynesian_Multiplier&amp;diff=192"/>
		<updated>2026-10-06T04:45:22Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Keynesian Multiplier&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The &#039;&#039;&#039;Keynesian multiplier&#039;&#039;&#039; is the concept that an initial change in autonomous spending, such as investment, government spending, or exports, produces a larger change in national income. The multiplier arises because the initial spending becomes income for others, who in turn spend a portion of it, generating further income, and so on. The size of the multiplier depends on the proportion of additional income that is spent domestically, which is governed by the marginal propensity to consume and by leakages such as taxes and imports.&lt;br /&gt;
&lt;br /&gt;
== Derivation ==&lt;br /&gt;
&lt;br /&gt;
In the simplest Keynesian model, the multiplier equals one divided by one minus the marginal propensity to consume, assuming no taxes or imports. If the marginal propensity to consume is 0.8, the multiplier is five, so a one-unit increase in autonomous spending raises income by five units. The logic is that each round of spending is a fraction of the previous round, and the sum of the geometric series converges to a finite value.&lt;br /&gt;
&lt;br /&gt;
More realistic models incorporate taxes and imports as leakages. The multiplier then equals one divided by one minus the marginal propensity to consume times one minus the tax rate plus the marginal propensity to import. Higher tax rates and import propensities reduce the multiplier by draining demand from the domestic circular flow. The multiplier also depends on the responsiveness of investment to income, an effect known as the accelerator, which can amplify the initial change.&lt;br /&gt;
&lt;br /&gt;
== Determinants of size ==&lt;br /&gt;
&lt;br /&gt;
The size of the multiplier depends on several factors. The marginal propensity to consume is higher for lower-income households, so redistribution toward them can raise the multiplier. The openness of the economy matters, since imports leak demand abroad. The exchange-rate regime matters, because under a fixed rate the multiplier is larger, while under a floating rate, interest-rate and exchange-rate responses can offset part of the fiscal expansion. The stance of monetary policy is crucial: if the central bank raises interest rates in response to the expansion, the multiplier is reduced, whereas if rates are held constant, the multiplier is larger.&lt;br /&gt;
&lt;br /&gt;
Capacity constraints also matter. When the economy is near full employment, additional demand is more likely to raise prices than output, reducing the real multiplier. In deep recessions with substantial slack, the multiplier tends to be larger.&lt;br /&gt;
&lt;br /&gt;
== Empirics ==&lt;br /&gt;
&lt;br /&gt;
Estimates of the multiplier vary widely. During normal times, multipliers for government spending are often estimated between 0.5 and 1.5, while in deep recessions and at the zero lower bound they can exceed 1.5. Tax multipliers are typically smaller in absolute value, and multipliers for transfers may differ from those for direct government purchases. Estimates depend on the identification strategy, the time horizon, and the country&#039;s characteristics.&lt;br /&gt;
&lt;br /&gt;
Research using natural experiments and structural models has refined understanding of the conditions under which multipliers are large. The state of the cycle, the response of monetary policy, the exchange-rate regime, and the composition of the fiscal impulse all influence the outcome.&lt;br /&gt;
&lt;br /&gt;
== Policy implications ==&lt;br /&gt;
&lt;br /&gt;
The multiplier is central to debates about fiscal policy. If multipliers are large, fiscal stimulus can be an effective tool for stabilising output and employment during downturns, and austerity can be self-defeating because it reduces growth and may not reduce debt ratios. If multipliers are small, fiscal policy is less potent, and consolidation may be less costly than feared.&lt;br /&gt;
&lt;br /&gt;
The concept also informs the design of stimulus packages, favouring measures with high multipliers, such as targeted transfers to liquidity-constrained households and public investment, over measures with low multipliers, such as tax cuts for high-income households. It underscores the importance of coordinating fiscal and monetary policy to maximise the effectiveness of stabilisation efforts.&lt;br /&gt;
&lt;br /&gt;
== The multiplier in open economies ==&lt;br /&gt;
&lt;br /&gt;
In an open economy, the multiplier is reduced by imports, because part of any increase in demand leaks abroad. The relevant parameter is the marginal propensity to consume domestic goods, which depends on the import content of consumption and investment. Countries with large and diversified domestic production have higher multipliers than small, highly open economies, which import a large share of what they consume.&lt;br /&gt;
&lt;br /&gt;
The exchange-rate regime also matters. Under a fixed exchange rate, the central bank accommodates the demand expansion by supplying money, and the multiplier is larger. Under a floating rate, the expansion raises interest rates and appreciates the currency, reducing net exports and offsetting part of the stimulus. This is the mechanism underlying the finding that fiscal policy is more effective under fixed rates and monetary policy under floating rates, a result associated with the Mundell-Fleming model.&lt;br /&gt;
&lt;br /&gt;
== Multipliers in practice ==&lt;br /&gt;
&lt;br /&gt;
Estimating multipliers empirically is difficult because fiscal policy responds to economic conditions, creating reverse causality. Researchers use structural models, natural experiments, and instrumental variables, including military spending shocks and changes in fiscal rules, to identify causal effects. Estimates vary widely, but there is broad agreement that multipliers are larger in deep recessions, when interest rates are near the lower bound, and when stimulus measures are targeted at liquidity-constrained households.&lt;br /&gt;
&lt;br /&gt;
The composition of fiscal measures matters. Public investment tends to have higher multipliers than transfers or tax cuts for high-income households, because it directly increases demand and adds to productive capacity. Transfers to low-income households have high multipliers because those households spend a large share of additional income. Tax cuts for high-income households tend to have lower multipliers because much of the benefit is saved.&lt;br /&gt;
&lt;br /&gt;
== Critiques and refinements ==&lt;br /&gt;
&lt;br /&gt;
Critics of the multiplier concept argue that it oversimplifies by ignoring supply constraints, expectations, and the response of monetary policy. In economies near full employment, additional demand may generate inflation rather than output, reducing the real multiplier. If households anticipate future tax increases, they may save the additional income, offsetting the stimulus, a possibility captured by Ricardian equivalence.&lt;br /&gt;
&lt;br /&gt;
Modern models incorporate these considerations, generating state-dependent multipliers that vary with the cycle, the policy mix, and the structure of the economy. This nuanced view has improved the understanding of when fiscal policy is most effective and has informed the design of stabilisation measures during recent downturns.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Fiscal Policy]]&lt;br /&gt;
* [[Marginal Propensity to Consume]]&lt;br /&gt;
* [[Aggregate Demand]]&lt;br /&gt;
* [[Crowding Out Effect]]&lt;br /&gt;
* [[Automatic Stabiliser]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Keynesian macroeconomics texts on the multiplier.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;International Monetary Fund research on fiscal multipliers.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;OECD analyses of fiscal consolidation and growth.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;National Bureau of Economic Research papers on fiscal policy effects.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=J_Curve_Effect&amp;diff=191</id>
		<title>J Curve Effect</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=J_Curve_Effect&amp;diff=191"/>
		<updated>2026-10-06T04:45:21Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: J Curve Effect&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The &#039;&#039;&#039;J curve effect&#039;&#039;&#039; describes the tendency of a country&#039;s trade balance to worsen initially and then improve following a depreciation or devaluation of its currency. The pattern, when plotted over time, resembles the letter J: the balance first declines, then recovers and may surpass its initial level. The J curve arises because prices adjust more quickly than quantities, so the immediate effect of depreciation is to raise the cost of imports while export revenues change little.&lt;br /&gt;
&lt;br /&gt;
== Mechanism ==&lt;br /&gt;
&lt;br /&gt;
When a currency depreciates, the domestic price of imports rises immediately, and the foreign price of exports falls. In the short run, the quantities of imports and exports change little because contracts are already signed, production capacity is fixed, and consumers and firms take time to adjust. As a result, the value of imports rises while the value of exports is broadly unchanged, and the trade balance deteriorates.&lt;br /&gt;
&lt;br /&gt;
Over time, quantities adjust. Foreign buyers respond to cheaper exports by purchasing more, and domestic consumers substitute away from more expensive imports. As quantities adjust, export revenues rise and import spending falls, and the trade balance improves. The speed of adjustment depends on the responsiveness of trade volumes to price changes, the elasticity of demand for exports and imports, and the presence of lags in production, distribution, and decision-making.&lt;br /&gt;
&lt;br /&gt;
== The Marshall-Lerner condition ==&lt;br /&gt;
&lt;br /&gt;
Whether depreciation eventually improves the trade balance depends on the Marshall-Lerner condition, which states that a depreciation improves the trade balance if the sum of the price elasticities of demand for exports and imports exceeds one, in absolute value. If the sum is less than one, depreciation worsens the trade balance even in the long run, because the price effect dominates the quantity effect.&lt;br /&gt;
&lt;br /&gt;
Estimates of trade elasticities vary, but for most countries they are consistent with the condition being satisfied in the long run, which is why the J curve is typically observed. In the short run, elasticities are lower because of lags, which explains the initial deterioration. The distinction between short-run and long-run elasticities is central to understanding the J curve.&lt;br /&gt;
&lt;br /&gt;
== Empirical evidence ==&lt;br /&gt;
&lt;br /&gt;
The J curve has been documented in many countries and periods, though its magnitude and duration vary. Studies find that the trade balance typically worsens for several quarters and then improves, with the full adjustment taking one to two years. The pattern is more pronounced where trade is dominated by contracts and where supply capacity is slow to expand.&lt;br /&gt;
&lt;br /&gt;
Some studies find weaker or absent J-curve effects, particularly where depreciation is accompanied by other changes, such as a fall in global demand, or where pass-through is high and import prices rise sharply. The interaction with financial conditions also matters: if depreciation raises the domestic-currency burden of external debt, the resulting financial stress may offset the trade benefits.&lt;br /&gt;
&lt;br /&gt;
== Policy implications ==&lt;br /&gt;
&lt;br /&gt;
The J curve has important policy implications. It implies that exchange-rate adjustment, while eventually effective, involves short-run costs, including higher import prices and a temporary deterioration in the trade balance. Policymakers must therefore be prepared for a period of adjustment and should not abandon the strategy prematurely when the initial results appear adverse.&lt;br /&gt;
&lt;br /&gt;
The J curve also informs the design of adjustment programmes, since a country facing an external imbalance may need financing to cover the initial deterioration while the currency adjustment works through. It underscores the importance of complementary policies, such as measures to expand export capacity and to remove supply bottlenecks, so that the quantity response is not delayed unduly. Understanding the J curve helps to explain why exchange-rate-based adjustment is gradual and why it can be politically difficult.&lt;br /&gt;
&lt;br /&gt;
== Factors affecting the speed of adjustment ==&lt;br /&gt;
&lt;br /&gt;
The duration and severity of the J curve depend on several factors. Trade contracts and invoicing practices determine how quickly prices pass through to volumes. Production lead times and capacity constraints affect how fast exporters can expand. Distribution networks and consumer habits influence the response of demand to price changes. Where markets are competitive and supply is flexible, adjustment is faster; where relationships and long-term contracts dominate, adjustment is slower.&lt;br /&gt;
&lt;br /&gt;
The structure of trade also matters. Trade in intermediate goods and global value chains complicate the picture, because a depreciation raises the cost of imported components as well as improving export competitiveness, and the net effect on the trade balance depends on the balance of these forces. Countries deeply integrated into value chains may experience smaller J-curve effects on gross trade, while the effect on value added may differ.&lt;br /&gt;
&lt;br /&gt;
== Evidence and measurement ==&lt;br /&gt;
&lt;br /&gt;
Measuring the J curve requires high-frequency data on trade values and prices, separated into price and volume effects. Researchers decompose changes in trade values into changes in prices and quantities, using unit value indices and customs data. The timing of the turning point and the magnitude of the subsequent improvement are estimated using econometric methods that control for other influences on trade, including income growth and global demand.&lt;br /&gt;
&lt;br /&gt;
Empirical results vary. Some studies find strong J-curve effects, particularly in countries with elastic trade responses; others find little evidence, especially where pass-through is high or where depreciation is accompanied by offsetting changes in other determinants of trade. The variation underscores the importance of context and of complementary policies.&lt;br /&gt;
&lt;br /&gt;
== Related concepts ==&lt;br /&gt;
&lt;br /&gt;
The J curve is related to several other concepts. The Marshall-Lerner condition specifies when depreciation improves the trade balance in the long run, providing the condition for the J curve&#039;s eventual improvement. The S curve describes the adjustment of trade volumes to price changes over time, with the volume response following a delay. The absorption approach links the trade balance to the difference between output and domestic absorption, providing a complementary perspective.&lt;br /&gt;
&lt;br /&gt;
These concepts together provide a framework for understanding external adjustment. They highlight that depreciation works through both price and quantity channels, that the timing of these channels differs, and that other policies, including expenditure reduction and structural reform, are often needed to achieve sustainable external balance.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Currency Depreciation]]&lt;br /&gt;
* [[Trade Balance]]&lt;br /&gt;
* [[Marshall-Lerner Condition]]&lt;br /&gt;
* [[Exchange Rate]]&lt;br /&gt;
* [[Balance of Payments]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;International Monetary Fund research on trade elasticities.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;OECD analyses of external adjustment.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;World Bank studies on exchange rates and trade.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Journal literature on the J curve and trade balance dynamics.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Isoquant&amp;diff=190</id>
		<title>Isoquant</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Isoquant&amp;diff=190"/>
		<updated>2026-10-06T04:45:20Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Isoquant&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;An &#039;&#039;&#039;isoquant&#039;&#039;&#039; is a curve showing the combinations of inputs that produce a given level of output. Isoquants are the production-side analogue of indifference curves in consumer theory. A set of isoquants, called an isoquant map, represents a firm&#039;s production technology, with higher isoquants corresponding to higher output levels. Isoquants are used to analyse input substitution, returns to scale, and cost minimisation.&lt;br /&gt;
&lt;br /&gt;
== Properties ==&lt;br /&gt;
&lt;br /&gt;
Isoquants have several standard properties. They slope downward, because to keep output constant, a reduction in one input must be offset by an increase in the other. They are convex to the origin under the usual assumption of diminishing marginal rate of technical substitution, meaning that as a firm uses more of one input relative to another, it becomes increasingly difficult to substitute further. They do not intersect, because that would imply the same input combination produces two different output levels. Higher isoquants represent higher output.&lt;br /&gt;
&lt;br /&gt;
The slope of an isoquant is the marginal rate of technical substitution, the rate at which one input can be reduced when another is increased while holding output constant. It equals the ratio of the marginal products of the two inputs.&lt;br /&gt;
&lt;br /&gt;
== Special cases ==&lt;br /&gt;
&lt;br /&gt;
The shape of isoquants reflects the substitutability of inputs. &#039;&#039;&#039;Perfect substitutes&#039;&#039;&#039; have straight-line isoquants, because inputs can be swapped at a constant rate. &#039;&#039;&#039;Perfect complements&#039;&#039;&#039;, such as a fixed proportion of machine and operator, have right-angled isoquants, because inputs must be used in fixed proportions. &#039;&#039;&#039;Cobb-Douglas&#039;&#039;&#039; production functions generate smooth, convex isoquants and are widely used in empirical work because of their tractability, though they impose a constant elasticity of substitution.&lt;br /&gt;
&lt;br /&gt;
The elasticity of substitution measures how easily inputs can be substituted and is a key parameter for understanding how firms respond to changes in relative input prices. Technologies with high substitutability allow firms to switch inputs readily, while those with low substitutability constrain adjustment.&lt;br /&gt;
&lt;br /&gt;
== Returns to scale ==&lt;br /&gt;
&lt;br /&gt;
The spacing of isoquants indicates returns to scale. If output increases proportionally more than inputs when moving outward from the origin, the technology exhibits increasing returns to scale, and isoquants become closer together. If output increases proportionally less, there are decreasing returns, and isoquants become farther apart. Constant returns to scale lie in between. Returns to scale are a long-run concept, since all inputs are variable.&lt;br /&gt;
&lt;br /&gt;
Increasing returns to scale can arise from specialisation, indivisible inputs, and learning. Decreasing returns can arise from managerial diseconomies and coordination problems. The presence of increasing returns has profound implications for market structure, since it favours large firms and can lead to natural monopoly.&lt;br /&gt;
&lt;br /&gt;
== Cost minimisation and applications ==&lt;br /&gt;
&lt;br /&gt;
Combining isoquants with isocost lines yields the cost-minimising input combination, where the isoquant is tangent to the lowest attainable isocost line. This tangency condition equates the marginal rate of technical substitution with the input price ratio. The analysis generates the firm&#039;s cost curves and its factor demand functions, showing how input choices respond to changes in prices and output.&lt;br /&gt;
&lt;br /&gt;
Isoquant analysis informs a wide range of decisions, including the choice of technique in production, the evaluation of the effects of input taxes and subsidies, and the assessment of policies to promote labour-intensive or capital-intensive production. It also underlies the estimation of production functions used to measure productivity and to analyse growth.&lt;br /&gt;
&lt;br /&gt;
== Isoquants and technological change ==&lt;br /&gt;
&lt;br /&gt;
Technological change shifts the production function, allowing more output from the same inputs. Graphically, the isoquant map shifts, so that a given output can be produced with fewer inputs, or a given set of inputs can produce more output. Technological change can be neutral, raising the productivity of all inputs proportionally, or biased, favouring one input over another. Skill-biased technical change, for example, raises the productivity of skilled labour relative to unskilled labour, shifting relative demand and affecting wage inequality.&lt;br /&gt;
&lt;br /&gt;
The direction of technological change is influenced by relative input prices and by the availability of knowledge. Where labour is expensive, firms have stronger incentives to develop and adopt labour-saving technologies. This induced innovation channel links factor markets to the pace and direction of technological progress, and it helps to explain differences in technology adoption across countries.&lt;br /&gt;
&lt;br /&gt;
== Isoquants in specific industries ==&lt;br /&gt;
&lt;br /&gt;
The shape of isoquants varies across industries and technologies. In electricity generation, the choice among fuels and plant types involves trade-offs between capital intensity, fuel costs, and emissions. In agriculture, the choice among labour, machinery, and inputs such as fertiliser involves substitution possibilities that depend on the crop and the terrain. In services, the mix of labour and information technology often exhibits limited substitutability in the short run because of the need for human interaction.&lt;br /&gt;
&lt;br /&gt;
Understanding these differences is important for policy. The elasticity of substitution determines how firms respond to taxes on inputs, to changes in energy prices, and to incentives for adopting cleaner technologies. Industries with high substitutability adjust more smoothly, while those with low substitutability may require more targeted support or longer transition periods.&lt;br /&gt;
&lt;br /&gt;
== Estimation and empirical issues ==&lt;br /&gt;
&lt;br /&gt;
Estimating production functions and their properties is a central task in applied economics. Challenges include the endogeneity of inputs, since firms choose inputs based on productivity, and measurement error in capital and labour. Methods such as instrumental variables, control functions, and the use of production-side shocks have been developed to address these issues.&lt;br /&gt;
&lt;br /&gt;
Estimates of the elasticity of substitution vary widely, and the choice of functional form matters. Flexible functional forms allow for richer substitution patterns than the Cobb-Douglas form, which imposes a constant elasticity of substitution equal to one. The empirical literature on production and productivity continues to refine these methods, with implications for understanding growth, labour demand, and the effects of technological change.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Isocost Line]]&lt;br /&gt;
* [[Production Function]]&lt;br /&gt;
* [[Returns to Scale]]&lt;br /&gt;
* [[Marginal Rate of Technical Substitution]]&lt;br /&gt;
* [[Cost Minimisation]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Microeconomics texts on production theory.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;Empirical literature on production function estimation.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;Managerial economics guidance on production decisions.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Journal literature on returns to scale and productivity.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Isocost_Line&amp;diff=189</id>
		<title>Isocost Line</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Isocost_Line&amp;diff=189"/>
		<updated>2026-10-06T04:45:18Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Isocost Line&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;An &#039;&#039;&#039;isocost line&#039;&#039;&#039; is a graph showing the combinations of inputs, typically labour and capital, that a firm can purchase for a given total cost, given the prices of those inputs. Along an isocost line, total expenditure on inputs is constant. Isocost lines are the cost-side counterpart to isoquants, the output-side representation of production possibilities, and together they determine the firm&#039;s cost-minimising input combination.&lt;br /&gt;
&lt;br /&gt;
== Construction ==&lt;br /&gt;
&lt;br /&gt;
The position of an isocost line depends on total cost and on input prices. If the firm spends a fixed amount on labour and capital, with wage w and rental rate r, the line can be written as an equation in which total cost equals w times labour plus r times capital. The intercepts show the maximum amount of one input that could be purchased if all funds were spent on it. The slope of the line is the negative of the ratio of input prices, reflecting the rate at which the firm can substitute one input for another in the market.&lt;br /&gt;
&lt;br /&gt;
When total cost changes, the isocost line shifts parallel to itself, outward for an increase and inward for a decrease. When the relative price of inputs changes, the slope changes, rotating the line around the intercept on the axis of the input whose price has not changed.&lt;br /&gt;
&lt;br /&gt;
== Cost minimisation ==&lt;br /&gt;
&lt;br /&gt;
The firm minimises the cost of producing a given output by choosing the input combination at which an isoquant is tangent to the lowest attainable isocost line. At this tangency, the slope of the isoquant, the marginal rate of technical substitution, equals the slope of the isocost line, the input price ratio. Equivalently, the marginal product per unit of expenditure is equalised across inputs, a condition that ensures the firm gets the most output for each dollar spent.&lt;br /&gt;
&lt;br /&gt;
Cost minimisation is distinct from profit maximisation. Cost minimisation determines the cheapest way to produce a given output; profit maximisation then determines the output level at which marginal revenue equals marginal cost. Together, they characterise the firm&#039;s optimal behaviour.&lt;br /&gt;
&lt;br /&gt;
== Applications ==&lt;br /&gt;
&lt;br /&gt;
Isocost and isoquant analysis is used to derive cost curves and to analyse how firms respond to changes in input prices. An increase in the wage relative to the rental rate of capital induces substitution toward capital, an effect known as factor substitution. This framework underlies the analysis of labour demand, the effects of minimum wages, and the impact of policies that change the relative price of inputs, such as energy taxes or investment incentives.&lt;br /&gt;
&lt;br /&gt;
The framework also applies to production planning, where managers choose among technologies and input mixes, and to development economics, where the choice of technique depends on relative factor endowments. Countries with abundant labour and scarce capital tend to use labour-intensive techniques, while the opposite holds where capital is relatively cheap.&lt;br /&gt;
&lt;br /&gt;
== Extensions and limitations ==&lt;br /&gt;
&lt;br /&gt;
The analysis extends to more than two inputs, where isocost lines become isocost planes or hyperplanes, and to dynamic settings in which firms choose investment paths over time. It also underpins the theory of cost functions, which summarise the minimum cost of producing each output level at given input prices.&lt;br /&gt;
&lt;br /&gt;
Limitations include the assumption of fixed input prices, which may not hold for a large firm that faces upward-sloping supply curves for its inputs, and the assumption of full divisibility of inputs. It also abstracts from quality differences among inputs and from the process of technological choice, which may be constrained by available technologies, managerial capability, and institutional factors.&lt;br /&gt;
&lt;br /&gt;
== Isocost lines and long-run cost ==&lt;br /&gt;
&lt;br /&gt;
The expansion path of a firm traces the cost-minimising input combinations as output expands, holding input prices constant. It is derived by connecting the tangency points between isoquants and isocost lines at successively higher output levels. The expansion path shows how the firm&#039;s use of labour and capital grows with output and provides the basis for deriving the long-run total cost curve, which relates the minimum cost of production to output.&lt;br /&gt;
&lt;br /&gt;
When input prices change, the expansion path rotates. An increase in the wage relative to the rental rate of capital tilts the firm&#039;s input choice toward capital, altering the factor intensity of production. This substitution is a key mechanism through which relative price changes affect employment and investment, and it is central to the analysis of policies that alter input prices, such as payroll taxes or energy taxes.&lt;br /&gt;
&lt;br /&gt;
== Isocost lines in practice ==&lt;br /&gt;
&lt;br /&gt;
In practice, firms solve the cost-minimisation problem with incomplete information and subject to constraints. Input prices may be negotiated, quantity discounts may apply, and some inputs may be available only in fixed proportions. Adjustment costs, including the cost of installing and training for new equipment, slow the substitution between inputs. These frictions mean that actual input choices may deviate from the theoretical optimum.&lt;br /&gt;
&lt;br /&gt;
The framework nonetheless provides a useful benchmark and a way to structure decisions. Managers use it to evaluate the trade-off between labour and capital in the face of changing costs, to assess the impact of automation, and to plan for changes in relative prices. Analysts use it to model firm behaviour and to estimate the responsiveness of factor demand to prices, which is important for forecasting and for policy evaluation.&lt;br /&gt;
&lt;br /&gt;
== Relation to other cost concepts ==&lt;br /&gt;
&lt;br /&gt;
The isocost framework relates closely to other cost concepts. The slope of the isocost line is the ratio of input prices, which equals the marginal rate of technical substitution at the cost-minimising point. The resulting cost function exhibits properties such as homogeneity and concavity in input prices, which have testable implications. Duality theory shows that the production function and the cost function contain the same information, so that one can be derived from the other.&lt;br /&gt;
&lt;br /&gt;
These relationships are exploited in empirical work, where cost functions are estimated from data and used to derive measures of returns to scale, factor substitution, and technical change. Estimates of these parameters inform analysis of productivity growth and of the effects of policies that change relative prices.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Isoquant]]&lt;br /&gt;
* [[Production Function]]&lt;br /&gt;
* [[Cost Minimisation]]&lt;br /&gt;
* [[Factor Market]]&lt;br /&gt;
* [[Marginal Rate of Technical Substitution]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Microeconomics texts on production and cost.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;Managerial economics literature on input choice.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;Development economics research on choice of technique.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Journal literature on production and cost functions.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Invisible_Hand&amp;diff=188</id>
		<title>Invisible Hand</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Invisible_Hand&amp;diff=188"/>
		<updated>2026-10-06T04:45:17Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Invisible Hand&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The &#039;&#039;&#039;invisible hand&#039;&#039;&#039; is a metaphor introduced by Adam Smith to describe how individuals pursuing their own self-interest can, through the operation of markets, promote the well-being of society as a whole, even though that outcome was not part of their intention. The phrase appears in Smith&#039;s works and has become a shorthand for the idea that competitive markets can coordinate economic activity efficiently without central direction.&lt;br /&gt;
&lt;br /&gt;
== Origin and meaning ==&lt;br /&gt;
&lt;br /&gt;
The metaphor appears in Adam Smith&#039;s &#039;&#039;The Wealth of Nations&#039;&#039; and in his earlier &#039;&#039;Theory of Moral Sentiments&#039;&#039;. In the &#039;&#039;Wealth of Nations&#039;&#039;, Smith uses it to explain why domestic merchants, by preferring domestic to foreign investment for reasons of security, tend to promote domestic industry and national income, &amp;quot;led by an invisible hand to promote an end which was no part of his intention.&amp;quot; The phrase is not a general theory of markets but a specific observation about the unintended consequences of self-interested behaviour.&lt;br /&gt;
&lt;br /&gt;
The idea is closely related to Smith&#039;s broader argument that the division of labour, driven by the human propensity to trade, raises productivity, and that competition among producers leads to prices that reflect costs. The invisible hand is the coordinating mechanism that reconciles private interest with public benefit.&lt;br /&gt;
&lt;br /&gt;
== Relation to welfare economics ==&lt;br /&gt;
&lt;br /&gt;
Modern welfare economics formalises the invisible hand through the first fundamental theorem of welfare economics, which states that under conditions of perfect competition, complete markets, and no externalities or market failures, a competitive equilibrium is Pareto efficient. The theorem makes precise the conditions under which the invisible hand works, and it highlights the ways in which those conditions may fail.&lt;br /&gt;
&lt;br /&gt;
The theorem also implies a second result: that any Pareto-efficient allocation can be achieved as a competitive equilibrium with an appropriate distribution of initial endowments, provided lump-sum transfers are available. Together, the two theorems separate questions of efficiency from questions of distribution, a distinction that underpins much of public economics.&lt;br /&gt;
&lt;br /&gt;
== Conditions and failures ==&lt;br /&gt;
&lt;br /&gt;
The invisible hand operates under demanding conditions. These include numerous buyers and sellers so that no one can influence prices, complete information, the absence of externalities, well-defined property rights, and the absence of public goods and market power. When these conditions fail, market outcomes may be inefficient, and the invisible hand does not deliver the best result.&lt;br /&gt;
&lt;br /&gt;
Market failures include externalities, such as pollution, which cause prices to reflect private rather than social costs; public goods, which are underprovided because they cannot exclude non-payers; information asymmetries, which can lead to adverse selection and moral hazard; and market power, which allows firms to restrict output and raise prices. In such cases, government intervention, regulation, or the creation of markets can improve outcomes, though intervention may also fail.&lt;br /&gt;
&lt;br /&gt;
== Critiques and interpretations ==&lt;br /&gt;
&lt;br /&gt;
Critiques of the invisible hand come from several directions. Some argue that markets generate inequality and that efficiency alone is an incomplete measure of social welfare. Others emphasise that markets depend on institutions, norms, and trust, and that the metaphor can obscure the role of the state in creating and sustaining the conditions for markets to function. Behavioural economists note that individuals are not the perfectly rational calculators assumed in the model.&lt;br /&gt;
&lt;br /&gt;
Defenders of the metaphor argue that it captures a profound insight: that spontaneous order can achieve coordination that no central planner could replicate, and that prices convey information efficiently, a point developed by Friedrich Hayek. The debate over the invisible hand is thus a debate about the scope and limits of markets, and about the appropriate role of government in a mixed economy.&lt;br /&gt;
&lt;br /&gt;
== The invisible hand and economic history ==&lt;br /&gt;
&lt;br /&gt;
The invisible hand is often associated with the emergence of market economies in the eighteenth and nineteenth centuries. As markets expanded, prices increasingly coordinated activity across distance, and the division of labour deepened. Historians have documented how institutions such as contract law, property rights, and commercial courts were prerequisites for markets to function, illustrating that the invisible hand operates within, and depends upon, a framework of rules.&lt;br /&gt;
&lt;br /&gt;
This historical perspective tempers simplistic readings of the metaphor. Smith himself devoted much of his work to the conditions under which markets function well, including the dangers of monopoly, the role of education, and the responsibilities of government. The invisible hand is therefore not an argument for the absence of government but a description of how markets can coordinate activity when the institutional preconditions are in place.&lt;br /&gt;
&lt;br /&gt;
== Modern interpretations ==&lt;br /&gt;
&lt;br /&gt;
Modern economists interpret the invisible hand through the lens of general equilibrium theory, which shows how prices can, under ideal conditions, coordinate the decisions of many agents. The theory also clarifies the assumptions required for efficiency and the ways in which deviations from those assumptions lead to market failure. This has led to a nuanced view: markets are powerful coordinating devices, but they require supporting institutions and may need correction in the presence of externalities, public goods, and information problems.&lt;br /&gt;
&lt;br /&gt;
The metaphor also features in debates about regulation. Advocates of limited government invoke the invisible hand to argue that markets self-correct and that intervention often does more harm than good. Advocates of active government point to market failures and to the historical role of public investment and regulation in creating the conditions for prosperity. The disagreement is less about the metaphor itself than about the prevalence of market failures and the capabilities of governments.&lt;br /&gt;
&lt;br /&gt;
== The invisible hand and globalisation ==&lt;br /&gt;
&lt;br /&gt;
In the context of globalisation, the invisible hand describes how international markets coordinate production and trade across borders, allowing countries to specialise according to comparative advantage and to benefit from exchange. Global value chains embody this coordination, with prices and contracts linking firms across continents.&lt;br /&gt;
&lt;br /&gt;
Critics point to the limits of this coordination, including the failure to price environmental externalities, the concentration of market power in global corporations, and the uneven distribution of gains. These concerns have motivated international agreements on trade, climate, and taxation, seeking to embed global markets in a framework of shared rules that addresses the shortcomings that markets alone do not resolve.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Market Economy]]&lt;br /&gt;
* [[Welfare Economics]]&lt;br /&gt;
* [[Market Failure]]&lt;br /&gt;
* [[Adam Smith]]&lt;br /&gt;
* [[General Equilibrium]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;History of economic thought literature on Adam Smith.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;Welfare economics texts on the fundamental theorems.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;Research on market failure and government intervention.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Journal literature on the limits of markets.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Informal_Economy&amp;diff=187</id>
		<title>Informal Economy</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Informal_Economy&amp;diff=187"/>
		<updated>2026-10-06T04:45:16Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Informal Economy&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The &#039;&#039;&#039;informal economy&#039;&#039;&#039; refers to economic activity that is not covered or is insufficiently covered by formal arrangements, including unregistered enterprises, undeclared work, and activities that fall outside the scope of official statistics and regulation. The informal economy is substantial in many developing countries and remains significant in some advanced economies. It provides livelihoods for a large share of the workforce, but it also creates challenges for taxation, regulation, and social protection.&lt;br /&gt;
&lt;br /&gt;
== Definition and measurement ==&lt;br /&gt;
&lt;br /&gt;
The informal economy is defined differently across contexts. Broadly, it includes own-account workers and unincorporated enterprises that are not registered, employees without formal contracts or social protection, and activities that are hidden from official records. The statistical framework distinguishes employment in the informal sector, informal employment outside the informal sector, and the informal economy as a whole, which also encompasses production for own final use.&lt;br /&gt;
&lt;br /&gt;
Measurement is difficult because informal activity is by definition unrecorded. Statistical agencies use household and labour force surveys, mixed surveys that combine enterprise and household information, and indirect methods that infer informal activity from discrepancies in national accounts and from indicators such as electricity consumption. Estimates are subject to considerable uncertainty.&lt;br /&gt;
&lt;br /&gt;
== Causes ==&lt;br /&gt;
&lt;br /&gt;
The informal economy arises from several factors. High costs of registration, taxation, and compliance encourage firms and workers to remain informal. Weak enforcement and limited administrative capacity reduce the incentive to formalise. Labour market rigidities, such as high minimum wages and generous severance requirements, can push workers into informal arrangements. Migration, poverty, and limited access to education and credit also contribute.&lt;br /&gt;
&lt;br /&gt;
Structural factors matter: economies with large agricultural sectors, low productivity, and weak institutions tend to have larger informal economies. In advanced economies, informal activity is often concentrated in services such as construction, hospitality, and domestic work, and in the gig economy, where platform work has created new forms of informal or semi-formal employment.&lt;br /&gt;
&lt;br /&gt;
== Consequences ==&lt;br /&gt;
&lt;br /&gt;
The informal economy has mixed consequences. It provides income and flexibility for workers who might otherwise be unemployed, and it can support entrepreneurship and survival activities. However, informal workers typically lack social protection, are exposed to unsafe conditions, and earn less than formal employees. Informal firms face limited access to credit, markets, and public services, which constrains their growth and productivity.&lt;br /&gt;
&lt;br /&gt;
For the broader economy, informality reduces the tax base and can undermine the financing of public goods. It can also distort competition, as informal firms may undercut formal ones by avoiding taxes and regulations, while formal firms bear the full cost of compliance. Informality can lower measured productivity and complicate the design of macroeconomic policy, since informal activity responds differently to interest rates and fiscal measures.&lt;br /&gt;
&lt;br /&gt;
== Policies and formalisation ==&lt;br /&gt;
&lt;br /&gt;
Policies to address informality include simplifying registration and tax procedures, reducing compliance costs, extending social protection to informal workers, and strengthening enforcement. Some countries have introduced simplified regimes for small businesses that lower the cost of formalisation. Others have expanded contributory social insurance to self-employed and domestic workers.&lt;br /&gt;
&lt;br /&gt;
The transition to formality is gradual and context-dependent. Evidence suggests that a combination of incentives, such as access to credit and social protection, and enforcement is more effective than either alone. Digital technologies, including mobile payments and e-government platforms, have reduced the cost of formalisation in many settings. Economic growth, structural transformation, and improvements in education also reduce informality over time.&lt;br /&gt;
&lt;br /&gt;
== Informality and gender ==&lt;br /&gt;
&lt;br /&gt;
Informality has a strong gender dimension. Women are disproportionately represented in informal employment, particularly in domestic work, home-based production, and street vending, where they often lack contracts, social protection, and access to credit. These patterns reflect constraints on women&#039;s participation in formal employment, including care responsibilities, discrimination, and limited access to education and assets.&lt;br /&gt;
&lt;br /&gt;
Policies to address informality therefore have gender implications. Extending social protection, improving access to childcare, and supporting women&#039;s entrepreneurship can reduce the gender gap in formal employment. Data collection that disaggregates informal employment by gender and activity helps to design targeted interventions and to monitor progress.&lt;br /&gt;
&lt;br /&gt;
== Informality and social protection ==&lt;br /&gt;
&lt;br /&gt;
The link between informality and social protection is central to policy design. Contributory social insurance, financed by payroll taxes, covers formal employees but tends to exclude informal workers, who lack the employment relationship through which contributions are collected. Extending coverage requires either subsidising contributions for low-income workers or financing benefits from general revenue.&lt;br /&gt;
&lt;br /&gt;
Non-contributory schemes, including universal or means-tested transfers and pensions, have expanded in many countries and can reach informal workers, but they raise questions about fiscal sustainability and about the incentive to formalise. Hybrid approaches combining contributory and non-contributory elements, with gradual vesting of entitlements, have been adopted in several countries to encourage formalisation while extending protection.&lt;br /&gt;
&lt;br /&gt;
== Technology and the future of work ==&lt;br /&gt;
&lt;br /&gt;
Digital platforms have created new forms of work that are often classified as independent contracting, blurring the boundary between formal and informal employment. Platform workers may have flexibility but typically lack social insurance, income security, and collective representation. Their treatment under labour law is contested and varies across jurisdictions, with some countries reclassifying workers and others creating intermediate categories.&lt;br /&gt;
&lt;br /&gt;
The growth of remote work and digital payments also affects informality in traditional sectors. Mobile payments can bring informal transactions into the formal financial system, improving traceability and access to credit, while raising questions about surveillance and data protection. How societies manage these changes will shape the size and character of the informal economy in the coming decades.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Shadow Economy]]&lt;br /&gt;
* [[Employment]]&lt;br /&gt;
* [[Social Protection]]&lt;br /&gt;
* [[Taxation]]&lt;br /&gt;
* [[Labour Market]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;International Labour Organization reports on informal employment.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;OECD work on informality and social protection.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;World Bank research on informality and development.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;National statistical agency methodology on informal sector measurement.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Inflation_Expectation&amp;diff=186</id>
		<title>Inflation Expectation</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Inflation_Expectation&amp;diff=186"/>
		<updated>2026-10-06T04:45:14Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Inflation Expectation&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Inflation expectation&#039;&#039;&#039; refers to the rate of inflation that households, firms, and financial markets anticipate over a future period. Expectations are central to the determination of actual inflation, because they influence wage bargaining, price setting, and the interest rates that lenders and borrowers agree. Well-anchored expectations help stabilise the economy, while unanchored expectations can lead to persistent inflation and make disinflation costly.&lt;br /&gt;
&lt;br /&gt;
== Formation of expectations ==&lt;br /&gt;
&lt;br /&gt;
Expectations are formed through several mechanisms. &#039;&#039;&#039;Adaptive expectations&#039;&#039;&#039; assume that people extrapolate from recent inflation, so that expected inflation adjusts gradually to past outcomes. &#039;&#039;&#039;Rational expectations&#039;&#039;&#039; assume that people use all available information and economic models to forecast, so that expectations differ from realised inflation only by unpredictable errors. &#039;&#039;&#039;Learning&#039;&#039;&#039; models allow people to update their views as new information arrives, often placing weight on central bank communication.&lt;br /&gt;
&lt;br /&gt;
Recent research emphasises the role of information and attention. Households often have imperfect knowledge of inflation statistics and form expectations based on the prices they encounter most frequently, such as food and fuel. Firms base expectations on their costs and on competitor behaviour. Financial markets form expectations from bond yields and from inflation-linked securities. These differences mean that measures of expectations can diverge depending on the group surveyed.&lt;br /&gt;
&lt;br /&gt;
== Measurement ==&lt;br /&gt;
&lt;br /&gt;
Expectations are measured through several channels. Surveys of households, firms, and professional forecasters provide direct readings. Market-based measures are derived from the difference between nominal and inflation-indexed bond yields, a measure known as the breakeven inflation rate, and from inflation swaps. Each measure has advantages and limitations: surveys capture the views of broader groups but can be noisy, while market measures are timely but reflect risk premia and liquidity conditions as well as expectations.&lt;br /&gt;
&lt;br /&gt;
Central banks monitor a range of measures to assess whether expectations remain anchored at the target. A widening gap between short-term and long-term expectations, or a rise in the dispersion of forecasts, can signal weakening credibility.&lt;br /&gt;
&lt;br /&gt;
== Role in inflation dynamics ==&lt;br /&gt;
&lt;br /&gt;
Expectations are a key determinant of inflation through the wage-price setting process. If workers expect higher inflation, they demand higher wages, and if firms expect higher costs, they raise prices, validating the expectation. The expectations-augmented Phillips curve formalises this link, expressing inflation as a function of expected inflation and the deviation of unemployment from its natural rate.&lt;br /&gt;
&lt;br /&gt;
Anchored expectations allow a central bank to control inflation with smaller changes in interest rates and output, because the public believes that policy will restore price stability. Conversely, when expectations become unanchored, a wage-price spiral can develop, and restoring stability requires a larger and more costly tightening. The experience of the 1970s, when expectations became entrenched at high levels, illustrates the cost of losing credibility.&lt;br /&gt;
&lt;br /&gt;
== Central bank communication and anchoring ==&lt;br /&gt;
&lt;br /&gt;
Central banks use communication, transparency, and explicit targets or frameworks to anchor expectations. Inflation targeting, introduced in the 1990s, was designed in part to provide a nominal anchor for expectations. Forward guidance, in which central banks signal the likely path of policy, aims to shape expectations about future interest rates and inflation. Publication of forecasts, minutes, and voting records enhances accountability and helps the public understand the policy reaction function.&lt;br /&gt;
&lt;br /&gt;
Empirical evidence suggests that credible frameworks do anchor long-term expectations, but that short-term expectations respond to current inflation, particularly for households. This asymmetry implies that temporary inflation spikes can still influence behaviour and warrant a policy response to prevent expectations from drifting.&lt;br /&gt;
&lt;br /&gt;
== Expectations and the zero lower bound ==&lt;br /&gt;
&lt;br /&gt;
Expectations play a central role in the analysis of the zero lower bound on nominal interest rates. When policy rates approach zero, conventional monetary easing is constrained, and central banks rely on expectations management, including forward guidance and asset purchases, to stimulate the economy. The effectiveness of these tools depends on whether the public believes that policy will remain accommodative and that inflation will return to target.&lt;br /&gt;
&lt;br /&gt;
If expectations become anchored at low levels, the economy can become trapped in a low-inflation, low-growth equilibrium, as Japan&#039;s experience illustrates. Escaping such a trap requires a credible commitment to reflation, sometimes described as a regime shift, which may involve tolerating above-target inflation temporarily, making up for past shortfalls, or coordinating with fiscal policy. These strategies are powerful but challenging to communicate and to implement credibly.&lt;br /&gt;
&lt;br /&gt;
== Expectations and financial markets ==&lt;br /&gt;
&lt;br /&gt;
Inflation expectations are embedded in asset prices. Nominal bond yields reflect expected inflation plus a real rate and risk premia, so movements in yields can signal shifts in inflation expectations. Central banks monitor breakeven inflation rates and inflation swap rates to gauge market views. Equity valuations, currency levels, and commodity prices also reflect expectations about inflation and about the policy response.&lt;br /&gt;
&lt;br /&gt;
Disagreement among market participants generates trading and price discovery, but it also creates challenges for policymakers, who must interpret noisy signals. Sudden shifts in expectations can trigger sharp repricing across asset classes, as occurred during episodes of inflation surprises. Understanding how expectations are formed and how they respond to news is therefore central to financial stability analysis as well as to monetary policy.&lt;br /&gt;
&lt;br /&gt;
== International dimensions ==&lt;br /&gt;
&lt;br /&gt;
Inflation expectations are influenced by global factors, including commodity prices, global demand conditions, and the policies of major central banks. In open economies, import prices and the exchange rate transmit foreign inflation and affect domestic expectations. Global value chains mean that foreign cost shocks can pass through to domestic prices, complicating the assessment of domestic inflation pressure.&lt;br /&gt;
&lt;br /&gt;
Policy spillovers across countries mean that expectations in one economy can be affected by developments elsewhere. Coordinated communication and, in some periods, coordinated policy action have been used to stabilise global expectations, though such coordination is difficult to achieve and to sustain.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Inflation]]&lt;br /&gt;
* [[Phillips Curve]]&lt;br /&gt;
* [[Monetary Policy]]&lt;br /&gt;
* [[Inflation Targeting]]&lt;br /&gt;
* [[Rational Expectations]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Central bank research on inflation expectations and anchoring.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;OECD and International Monetary Fund analyses of expectation measures.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;Academic literature on expectation formation and learning.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Surveys of professional forecasters and household expectations.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Indifference_Curve&amp;diff=185</id>
		<title>Indifference Curve</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Indifference_Curve&amp;diff=185"/>
		<updated>2026-10-06T04:45:13Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Indifference Curve&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;An &#039;&#039;&#039;indifference curve&#039;&#039;&#039; is a graph showing combinations of two goods that provide a consumer with the same level of utility, so that the consumer is indifferent between them. Indifference curves are a fundamental tool of consumer theory, used to represent preferences, derive demand curves, and analyse the effects of price and income changes. A set of indifference curves, called an indifference map, represents a consumer&#039;s complete preference ordering.&lt;br /&gt;
&lt;br /&gt;
== Properties ==&lt;br /&gt;
&lt;br /&gt;
Indifference curves have several standard properties under the usual assumptions about preferences. They slope downward, because to keep utility constant, a reduction in the quantity of one good must be offset by an increase in the other. They are convex to the origin, reflecting a diminishing marginal rate of substitution, meaning that a consumer will give up less of one good for another as he or she has less of it. They cannot intersect, because that would imply inconsistent preferences. Higher indifference curves represent higher utility.&lt;br /&gt;
&lt;br /&gt;
The slope of an indifference curve is the marginal rate of substitution, the rate at which the consumer is willing to trade one good for another while maintaining the same utility. It equals the ratio of the marginal utilities of the two goods.&lt;br /&gt;
&lt;br /&gt;
== Budget constraint and optimum ==&lt;br /&gt;
&lt;br /&gt;
The consumer&#039;s budget constraint shows the combinations of goods that are affordable given prices and income. It is a straight line with a slope equal to the ratio of the prices. The consumer&#039;s optimum occurs where the budget line is tangent to the highest attainable indifference curve, so that the marginal rate of substitution equals the price ratio. At this point, the consumer&#039;s marginal utility per unit of expenditure is equal across goods.&lt;br /&gt;
&lt;br /&gt;
This tangency condition provides the foundation for deriving demand curves. As the price of a good changes, the budget line rotates, and the tangency point moves, tracing out the quantity demanded at each price. The income and substitution effects of a price change can be decomposed using the indifference-curve framework, a technique developed by John Hicks and others.&lt;br /&gt;
&lt;br /&gt;
== Applications and extensions ==&lt;br /&gt;
&lt;br /&gt;
Indifference curves are used to analyse labour supply, where the choice is between leisure and consumption; saving, where the choice is between present and future consumption; and portfolio choice, where the choice is among assets with different risks and returns. The framework extends to more than two goods, where indifference surfaces replace curves and analysis becomes more complex.&lt;br /&gt;
&lt;br /&gt;
The assumption of convexity, which produces diminishing marginal rates of substitution, is relaxed in some cases, such as perfect substitutes, where indifference curves are straight lines, and perfect complements, where they are right-angled. These special cases illustrate the range of consumer behaviour.&lt;br /&gt;
&lt;br /&gt;
== Limitations ==&lt;br /&gt;
&lt;br /&gt;
The indifference-curve framework assumes that consumers are rational, have well-defined and stable preferences, and can compare all bundles consistently. Behavioural economics has documented deviations from these assumptions, including loss aversion, framing effects, and inconsistent choices. The framework also abstracts from the process of preference formation and from social influences on consumption.&lt;br /&gt;
&lt;br /&gt;
Despite these limitations, indifference curves remain a powerful and intuitive tool. They make the logic of consumer choice visible and provide a systematic way to analyse welfare changes, measure consumer surplus, and evaluate policies such as taxes and subsidies.&lt;br /&gt;
&lt;br /&gt;
== Indifference curves and revealed preference ==&lt;br /&gt;
&lt;br /&gt;
The indifference-curve approach to consumer theory assumes that preferences exist and can be represented by a utility function. An alternative, the revealed preference approach developed by Paul Samuelson, infers preferences from observed choices rather than assuming them. Under revealed preference, if a consumer chooses bundle A when bundle B is affordable, then A is revealed preferred to B. This approach avoids relying on unobservable utility while generating similar predictions about demand.&lt;br /&gt;
&lt;br /&gt;
The two approaches are complementary. Revealed preference provides a foundation for empirical demand analysis and for testing consistency of choices, while indifference curves provide a convenient graphical representation of preferences and are widely used in teaching and applied analysis. Both face the challenge that preferences may not be stable over time, a concern emphasised by behavioural economics.&lt;br /&gt;
&lt;br /&gt;
== Indifference curves in production and welfare ==&lt;br /&gt;
&lt;br /&gt;
Similar techniques apply beyond consumer choice. Isoquants describe production possibilities in the same way that indifference curves describe consumption possibilities, and the mathematical structure is analogous. In welfare economics, social indifference curves represent trade-offs among the well-being of different members of society, providing a way to analyse distributional choices and to define social optima.&lt;br /&gt;
&lt;br /&gt;
Social indifference curves are more contentious than individual ones, because aggregating preferences requires value judgements about the relative weights of different individuals. Different social welfare functions imply different shapes and different policy conclusions. This is one reason why welfare analysis in practice often focuses on identifying improvements that make everyone better off, known as Pareto improvements, rather than on ranking all possible outcomes.&lt;br /&gt;
&lt;br /&gt;
== Empirical estimation ==&lt;br /&gt;
&lt;br /&gt;
Estimating indifference curves and demand systems is a major area of applied economics. Researchers estimate demand elasticities using household survey data, scanner data, and experimental methods. Functional forms such as the almost ideal demand system and the quadratic expenditure system are used to model consumer behaviour while respecting theoretical restrictions such as adding-up, homogeneity, and symmetry.&lt;br /&gt;
&lt;br /&gt;
These estimates inform policy analysis, including the distributional effects of taxes and subsidies, the measurement of consumer surplus from new goods, and the evaluation of welfare programmes. The accuracy of estimates depends on data quality, on the identification strategy, and on the validity of the assumed functional form, and results are often presented with ranges reflecting statistical uncertainty.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Utility]]&lt;br /&gt;
* [[Budget Constraint]]&lt;br /&gt;
* [[Marginal Rate of Substitution]]&lt;br /&gt;
* [[Consumer Surplus]]&lt;br /&gt;
* [[Revealed Preference]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Microeconomics texts on consumer theory.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;History of economic thought literature on the Hicksian framework.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;Behavioural economics research on preference anomalies.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Journal literature on demand estimation.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Import_Quota&amp;diff=184</id>
		<title>Import Quota</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Import_Quota&amp;diff=184"/>
		<updated>2026-10-06T04:45:12Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Import Quota&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;An &#039;&#039;&#039;import quota&#039;&#039;&#039; is a physical limit on the quantity or value of a good that may be imported into a country over a specified period. Quotas are a form of non-tariff trade barrier and are used to protect domestic producers, conserve foreign exchange, or manage sensitive sectors. Unlike a tariff, which raises revenue and allows imports to continue at a higher price, a quota fixes the quantity directly and transfers the resulting scarcity rent to holders of import licences.&lt;br /&gt;
&lt;br /&gt;
== Mechanisms ==&lt;br /&gt;
&lt;br /&gt;
An import quota is typically administered through licences that permit holders to import up to a specified amount. Licences may be allocated by historical shares, by auction, or by administrative discretion. The scarcity created by the quota raises the domestic price above the world price, generating a rent that accrues to licence holders if licences are granted free of charge, to the government if licences are auctioned, or to foreign exporters if they can capture the rent through higher prices.&lt;br /&gt;
&lt;br /&gt;
The domestic price effect of a quota is similar to that of an equivalent tariff. The tariff equivalent is the difference between the domestic and world price expressed as a percentage of the world price. A quota, however, provides certainty about the quantity, whereas a tariff provides certainty about the price but not the quantity.&lt;br /&gt;
&lt;br /&gt;
== Economic effects ==&lt;br /&gt;
&lt;br /&gt;
Quotas distort consumption and production decisions. Consumers pay higher prices and reduce purchases, losing consumer surplus. Domestic producers expand output at higher cost, using resources that could be employed more efficiently elsewhere. The economy suffers a deadweight loss from both the consumption distortion and the production distortion. If the rent accrues to foreign exporters, the importing country loses additionally through a terms-of-trade deterioration.&lt;br /&gt;
&lt;br /&gt;
Quotas can also create rent seeking and corruption, as firms compete for licences and for the right to import. Administrative allocation is often inefficient and can entrench incumbents. Quotas may also lead to quality upgrading, as exporters shift to higher-value products within the quota, a phenomenon observed in voluntary export restraints in the automobile industry.&lt;br /&gt;
&lt;br /&gt;
== Comparison with tariffs ==&lt;br /&gt;
&lt;br /&gt;
Economists generally prefer tariffs to quotas as a means of protection, on the grounds that tariffs generate revenue for the government, are transparent, and allow market forces to determine the quantity imported. Quotas allocate rents privately and are less transparent. Tariffs also adjust automatically to changes in market conditions, whereas quotas require administrative revision.&lt;br /&gt;
&lt;br /&gt;
In practice, quotas are used where quantitative limits are politically easier to negotiate or where international agreements prohibit tariffs above bound levels. Voluntary export restraints, in which the exporting country limits its own shipments, are a form of quota that has been used under political pressure, though they are now largely prohibited by multilateral rules.&lt;br /&gt;
&lt;br /&gt;
== International rules and reform ==&lt;br /&gt;
&lt;br /&gt;
The World Trade Organization generally prohibits quantitative restrictions on imports, with exceptions for balance-of-payments difficulties, agriculture, and safeguards. The Agreement on Textiles and Clothing phased out the quota system that had governed trade in textiles and apparel for decades, integrating the sector into normal trade rules. Tariff-rate quotas, in which a limited quantity enters at a low tariff and amounts above the quota face a higher tariff, are widely used in agriculture.&lt;br /&gt;
&lt;br /&gt;
Despite their prohibition, quotas persist in various forms, including licensing requirements, technical standards, and sanitary measures that have equivalent effects. Reducing such barriers has been a central objective of trade negotiations and of regional trade agreements.&lt;br /&gt;
&lt;br /&gt;
== Quotas and rent allocation ==&lt;br /&gt;
&lt;br /&gt;
The allocation of quota rents is a central issue in the economics of import quotas. When licences are granted administratively, the recipients capture the difference between the domestic and world price, creating concentrated gains and incentives for lobbying and corruption. Auctions of licences can capture the rent for the government and allocate access efficiently, but they require capable administration and can be politically difficult. Allocating licences by historical market share preserves incumbents and limits competition.&lt;br /&gt;
&lt;br /&gt;
The distribution of rents affects the welfare consequences of a quota. If rents accrue domestically, the country retains part of the transfer; if they accrue to foreign exporters, as in a voluntary export restraint, the country loses additionally. The design of quota administration therefore has significant distributional and efficiency implications, and it is a frequent subject of reform.&lt;br /&gt;
&lt;br /&gt;
== Quotas in agriculture and textiles ==&lt;br /&gt;
&lt;br /&gt;
Agriculture and textiles have historically been the sectors most affected by quotas. Agricultural quotas, often implemented as tariff-rate quotas, allow a limited quantity to enter at a low tariff while imposing a higher tariff on additional imports. They balance political support for domestic producers with commitments to market access. The administration of these quotas, including the allocation of in-quota rights and the setting of fill rates, is complex and has been the subject of trade disputes.&lt;br /&gt;
&lt;br /&gt;
Textiles and apparel were governed for decades by a system of quotas under successive arrangements, which restricted exports from developing countries to developed markets. The phase-out of these quotas, completed in 2005, reshaped global production patterns and contributed to the concentration of textile production in a few competitive countries, with significant adjustment costs for others.&lt;br /&gt;
&lt;br /&gt;
== Trade policy in practice ==&lt;br /&gt;
&lt;br /&gt;
Although multilateral rules discourage quantitative restrictions, countries use a range of measures with similar effects, including licensing, standards, and sanitary and phytosanitary requirements. These measures can serve legitimate public objectives, such as health and safety, but they can also be used for protection. Distinguishing between the two requires analysis of their design and application, and dispute settlement has developed criteria for assessing whether measures are more trade restrictive than necessary.&lt;br /&gt;
&lt;br /&gt;
Trade facilitation, transparency, and international cooperation help to limit the use of disguised quotas. Capacity building for customs and standards agencies in developing countries supports compliance with legitimate requirements without unnecessary trade restriction.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Tariff]]&lt;br /&gt;
* [[Trade Barrier]]&lt;br /&gt;
* [[Export Subsidy]]&lt;br /&gt;
* [[Protectionism]]&lt;br /&gt;
* [[World Trade Organization]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;World Trade Organization agreements on quantitative restrictions.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;OECD work on non-tariff measures.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;World Bank research on trade protection and reform.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;International trade economics literature on quotas and tariffs.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Human_Development_Index&amp;diff=183</id>
		<title>Human Development Index</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Human_Development_Index&amp;diff=183"/>
		<updated>2026-10-06T04:45:11Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Human Development Index&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The &#039;&#039;&#039;Human Development Index&#039;&#039;&#039; (HDI) is a composite statistic used to rank countries by their level of human development. It combines indicators of health, education, and income to provide a broader measure of well-being than income alone. The index was introduced in 1990 by the United Nations Development Programme and has become one of the most widely cited alternatives to gross domestic product as a measure of development.&lt;br /&gt;
&lt;br /&gt;
== Components ==&lt;br /&gt;
&lt;br /&gt;
The HDI combines three dimensions. &#039;&#039;&#039;Health&#039;&#039;&#039; is measured by life expectancy at birth. &#039;&#039;&#039;Education&#039;&#039;&#039; is measured by mean years of schooling for adults and expected years of schooling for children. &#039;&#039;&#039;Income&#039;&#039;&#039; is measured by gross national income per capita, adjusted for purchasing power parity. The indicators are normalised to a scale between zero and one using goalposts, and the index is the geometric mean of the three dimension indices. The geometric mean penalises countries that perform poorly in any one dimension, reflecting the view that human development requires balanced progress.&lt;br /&gt;
&lt;br /&gt;
The choice of goalposts and indicators has evolved over time. Earlier versions used different education and income measures, and the change to the geometric mean in 2010 altered scores and rankings. The index is complemented by additional measures, including the Inequality-adjusted HDI, the Gender Development Index, and the Multidimensional Poverty Index, which capture distributional and broader aspects of well-being.&lt;br /&gt;
&lt;br /&gt;
== Interpretation and use ==&lt;br /&gt;
&lt;br /&gt;
The HDI ranges from zero to one, with higher values indicating greater human development. Countries are grouped into tiers, from very high to low human development. The index is used to track progress over time, to compare countries, and to inform policy and advocacy. It has been influential in shifting attention from income alone to broader measures of well-being.&lt;br /&gt;
&lt;br /&gt;
The HDI is deliberately simple, combining a few indicators to produce a single number. This simplicity makes it transparent and easy to communicate but also limits its scope. It does not capture inequality within countries, environmental sustainability, political freedoms, or subjective well-being, though complementary indices address some of these gaps. Critics note that the index implicitly weights the three dimensions equally and that the choice of indicators reflects value judgements.&lt;br /&gt;
&lt;br /&gt;
== Criticisms and refinements ==&lt;br /&gt;
&lt;br /&gt;
Criticisms of the HDI include its treatment of income, where the logarithm reduces the weight of high incomes and makes the index insensitive to differences among rich countries; its reliance on national averages that mask inequality; and its sensitivity to data quality, particularly for countries with weak statistical systems. Some argue that the index&#039;s fixed goalposts lead to scores that are not comparable over long periods.&lt;br /&gt;
&lt;br /&gt;
Refinements include the Inequality-adjusted HDI, which discounts each dimension by the extent of inequality, and the Planetary pressures-adjusted HDI, which accounts for environmental impact. These extensions broaden the concept of development to include sustainability and equity, aligning with the Sustainable Development Goals.&lt;br /&gt;
&lt;br /&gt;
== Policy significance ==&lt;br /&gt;
&lt;br /&gt;
The HDI has influenced development policy by emphasising health and education alongside income. It underpins the annual Human Development Report, which analyses themes such as inequality, gender, and sustainability. The index is used by governments, international organisations, and researchers, and it has prompted investment in statistical capacity so that countries can measure and improve their performance.&lt;br /&gt;
&lt;br /&gt;
While no single number can capture the complexity of human development, the HDI has been successful in broadening the terms of the development debate, showing that income growth is a means rather than an end, and that improvements in health and education are central to human welfare.&lt;br /&gt;
&lt;br /&gt;
== Related composite indicators ==&lt;br /&gt;
&lt;br /&gt;
The HDI has inspired a family of composite indicators. The Gender Development Index compares male and female achievements in the three HDI dimensions, measuring gender gaps in health, education, and income. The Gender Inequality Index captures inequality in reproductive health, empowerment, and the labour market. The Multidimensional Poverty Index identifies overlapping deprivations in health, education, and living standards, providing a more detailed picture of poverty than income alone.&lt;br /&gt;
&lt;br /&gt;
The Inequality-adjusted HDI discounts each dimension by the extent of inequality in its distribution, so that countries with high inequality receive lower scores. The Planetary pressures-adjusted HDI accounts for carbon dioxide emissions and material footprint, integrating sustainability into the measure. These indicators reflect a broadening conception of development that goes beyond income and averages.&lt;br /&gt;
&lt;br /&gt;
== Data and methodology debates ==&lt;br /&gt;
&lt;br /&gt;
The construction of the HDI involves choices that affect rankings. The goalposts used to normalise indicators, the treatment of income (using logarithms), and the use of the geometric rather than arithmetic mean all influence results. Changes in methodology over time have altered scores and rankings, complicating comparisons across report editions. Data quality varies across countries, and estimates are sometimes based on incomplete information.&lt;br /&gt;
&lt;br /&gt;
These methodological issues have generated debate about the appropriate use of the index. Some argue that composite indicators obscure important detail and that users should examine the underlying components, while others maintain that a simple summary measure is valuable for communication and advocacy. The index is best used alongside, not instead of, more detailed indicators of health, education, and income.&lt;br /&gt;
&lt;br /&gt;
== Uses in research and policy ==&lt;br /&gt;
&lt;br /&gt;
The HDI is widely used in research on development, inequality, and well-being, and it features in policy documents and international comparisons. It has been used to study the relationship between income and non-income dimensions of development, to assess the effects of policies on human welfare, and to track progress toward development goals. Its influence has extended to the design of national development strategies that emphasise health and education alongside growth.&lt;br /&gt;
&lt;br /&gt;
The index has also been criticised for providing limited guidance on policy priorities, since it aggregates dimensions and does not indicate which intervention would be most effective. Complementing it with disaggregated data and with analysis of causal mechanisms helps to make it a more useful tool for policy design and evaluation.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Human Development]]&lt;br /&gt;
* [[GDP]]&lt;br /&gt;
* [[Well-being]]&lt;br /&gt;
* [[Inequality]]&lt;br /&gt;
* [[Sustainable Development]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;United Nations Development Programme, &#039;&#039;Human Development Report&#039;&#039;.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;OECD work on measuring well-being and progress.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;World Bank &#039;&#039;World Development Indicators&#039;&#039;.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Academic literature on composite indicators and development measurement.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Hedging&amp;diff=182</id>
		<title>Hedging</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Hedging&amp;diff=182"/>
		<updated>2026-10-06T04:45:10Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Hedging&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Hedging&#039;&#039;&#039; is the practice of taking an offsetting position in one market to reduce or eliminate the risk of adverse price movements in another. A hedge is a risk-management technique used by firms, investors, and financial institutions to protect against fluctuations in commodity prices, interest rates, exchange rates, and equity values. Hedging does not necessarily increase expected returns; its purpose is to reduce uncertainty and to allow the hedger to focus on core activities.&lt;br /&gt;
&lt;br /&gt;
== Principles ==&lt;br /&gt;
&lt;br /&gt;
Hedging works by combining positions whose price changes are negatively correlated, so that losses on one position are offset by gains on another. A perfect hedge eliminates risk entirely, but in practice hedges are usually imperfect because the hedging instrument may differ from the exposure in quantity, timing, or characteristics, a problem known as basis risk. The residual risk after hedging is the basis risk.&lt;br /&gt;
&lt;br /&gt;
Hedging can be static, involving a fixed position held for the life of the exposure, or dynamic, involving periodic adjustment as prices and exposures change. Dynamic hedging, such as delta hedging of options, requires more sophisticated management but can track exposures more closely.&lt;br /&gt;
&lt;br /&gt;
== Instruments ==&lt;br /&gt;
&lt;br /&gt;
Hedging instruments include forward contracts, futures, options, swaps, and, in some cases, natural hedges such as matching revenues and costs in the same currency. A forward or futures contract locks in a price and eliminates both upside and downside. An option provides protection against adverse moves while preserving participation in favourable ones, at the cost of a premium. A swap exchanges cash flows to transform the risk profile of an exposure, such as converting fixed-rate debt to floating-rate.&lt;br /&gt;
&lt;br /&gt;
Natural hedging avoids the use of derivatives. A firm with costs and revenues in the same foreign currency is naturally hedged against exchange-rate movements. Matching the currency of debt to the currency of revenues, or locating production near markets, are examples of operational hedging.&lt;br /&gt;
&lt;br /&gt;
== Corporate hedging ==&lt;br /&gt;
&lt;br /&gt;
Non-financial firms hedge to stabilise cash flows, reduce the probability of financial distress, and support investment plans. Under the framework of modern corporate finance, hedging can add value when capital markets are imperfect, because it reduces the expected costs of financial distress, lowers the need for costly external finance, and allows firms to maintain investment during downturns. Hedging also reduces the volatility of taxable income, which can lower expected tax liabilities in progressive tax systems.&lt;br /&gt;
&lt;br /&gt;
Empirical evidence suggests that firms with greater growth opportunities, higher leverage, and more concentrated ownership are more likely to hedge. However, some firms speculate under the guise of hedging, taking positions that increase rather than reduce risk, which has caused notable losses and prompted calls for stronger governance of treasury operations.&lt;br /&gt;
&lt;br /&gt;
== Accounting and disclosure ==&lt;br /&gt;
&lt;br /&gt;
Hedge accounting rules allow firms to match the timing of gains and losses on hedging instruments with those on the hedged items, reducing earnings volatility. To qualify, firms must document the hedging relationship, demonstrate that the hedge is expected to be highly effective, and assess effectiveness. Disclosure requirements aim to inform investors about the nature and extent of risks and how they are managed.&lt;br /&gt;
&lt;br /&gt;
The complexity of hedge accounting has been criticised, and standard setters have sought to simplify the rules while preserving transparency. The treatment of hedges remains an area of active standard-setting and debate.&lt;br /&gt;
&lt;br /&gt;
== Hedging in financial institutions ==&lt;br /&gt;
&lt;br /&gt;
Financial institutions manage complex, multi-dimensional risk through hedging. Banks hedge interest-rate risk using swaps and futures, and currency risk using forwards and options, to protect the value of their assets and liabilities. Insurers use reinsurance and derivatives to manage catastrophe and longevity risk. Asset managers use hedging to control portfolio exposures and to implement views with limited downside.&lt;br /&gt;
&lt;br /&gt;
These activities are essential for the functioning of markets but also create interconnections that can transmit stress. The failure of a large hedger can impose losses on counterparties, and crowded trades can become disorderly to unwind. Central counterparties and margin requirements are designed to contain these risks, but they must balance robustness against the cost of collateral and the potential for procyclical margin calls.&lt;br /&gt;
&lt;br /&gt;
== Hedging and speculation ==&lt;br /&gt;
&lt;br /&gt;
The distinction between hedging and speculation can be subtle. A hedge reduces risk relative to a benchmark exposure, while a speculation takes on risk in pursuit of return. The same instrument can be used for either purpose depending on the context and the underlying position. Firms and funds have sometimes incurred large losses from positions described as hedges but which in fact increased risk, underscoring the importance of governance, independent valuation, and clear risk limits.&lt;br /&gt;
&lt;br /&gt;
Regulators and auditors therefore focus on whether hedging relationships are properly documented and whether they genuinely reduce risk. The accounting treatment depends on effectiveness testing, and the internal control environment must be strong enough to prevent unauthorised positions that expose the firm to unintended risks.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Derivative]]&lt;br /&gt;
* [[Futures Contract]]&lt;br /&gt;
* [[Risk Management]]&lt;br /&gt;
* [[Speculation]]&lt;br /&gt;
* [[Basis Risk]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Financial risk management texts on hedging techniques.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;International Financial Reporting Standards on hedge accounting.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;Bank for International Settlements research on risk transfer.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Corporate finance literature on the value of corporate hedging.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Gross_Fixed_Capital_Formation&amp;diff=181</id>
		<title>Gross Fixed Capital Formation</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Gross_Fixed_Capital_Formation&amp;diff=181"/>
		<updated>2026-10-06T04:45:08Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Gross Fixed Capital Formation&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Gross fixed capital formation&#039;&#039;&#039; (GFCF) is a macroeconomic aggregate that measures the net increase in physical assets, such as machinery, equipment, buildings, and infrastructure, during a given period. It is a major component of gross domestic product and a key indicator of investment activity and of the economy&#039;s capacity to grow. GFCF excludes changes in inventories and the acquisition of valuables, which are recorded separately.&lt;br /&gt;
&lt;br /&gt;
== Definition and scope ==&lt;br /&gt;
&lt;br /&gt;
GFCF measures the value of acquisitions less disposals of fixed assets by producers. Fixed assets are produced assets used repeatedly or continuously in production for more than one year. The category includes dwellings, other buildings and structures, machinery and equipment, cultivated biological resources, and intellectual property products such as software, research and development, and mineral exploration. It excludes assets that are consumed in production, such as intermediate inputs and inventories.&lt;br /&gt;
&lt;br /&gt;
GFCF is measured on a gross basis, meaning that it does not deduct the consumption of fixed capital, that is, depreciation. Net capital formation equals GFCF minus depreciation and measures the addition to the capital stock. Because depreciation can be large, net capital formation may be much smaller than gross and can even be negative in an economy with an aging capital stock.&lt;br /&gt;
&lt;br /&gt;
== Components ==&lt;br /&gt;
&lt;br /&gt;
GFCF is often disaggregated by asset type and by sector. Asset categories include construction, transport equipment, information and communication technology equipment, and other machinery. Sector categories include the business sector, government, and households. The composition of investment matters for growth, since investment in machinery and equipment is often associated with stronger productivity effects than investment in structures, and investment in intangible assets such as software and research and development has become increasingly important.&lt;br /&gt;
&lt;br /&gt;
Investment in dwellings is treated as GFCF but is often analysed separately because it reflects household demand and housing-market conditions rather than business investment decisions.&lt;br /&gt;
&lt;br /&gt;
== Role in growth and cycles ==&lt;br /&gt;
&lt;br /&gt;
Investment is a key driver of long-run growth because it adds to the capital stock and embodies new technology. In the national accounts, GFCF is the largest volatile component of GDP, and fluctuations in investment are a major source of business-cycle variation. Uncertainty, interest rates, credit conditions, and expected demand all influence investment decisions, and investment tends to fall sharply during recessions in a phenomenon sometimes called the accelerator effect.&lt;br /&gt;
&lt;br /&gt;
Because investment is forward-looking, it is sensitive to expectations and to the cost of capital. Tax policy, including depreciation allowances and investment tax credits, and the availability of finance, including bank credit and equity markets, affect investment levels.&lt;br /&gt;
&lt;br /&gt;
== Measurement issues ==&lt;br /&gt;
&lt;br /&gt;
Measuring GFCF is challenging. Deflators must adjust nominal investment for changes in prices, and quality adjustment is difficult for rapidly improving goods such as computers and software. Estimates of the service lives of assets and of depreciation profiles affect the derived capital stock. Cross-country comparability is limited by differences in methodology and in the scope of what is counted as a fixed asset.&lt;br /&gt;
&lt;br /&gt;
International standards, including the System of National Accounts, provide guidelines, and statistical agencies publish detailed breakdowns. Analysts use GFCF relative to GDP as a measure of investment intensity, and they compare it across countries to assess competitiveness and growth prospects, keeping in mind that high investment can reflect either strong growth prospects or inefficient allocation.&lt;br /&gt;
&lt;br /&gt;
== Policy relevance ==&lt;br /&gt;
&lt;br /&gt;
GFCF is central to policy debates about growth, competitiveness, and the energy transition. Investment in infrastructure, digital networks, and clean energy is often promoted as a way to raise productivity and meet environmental goals. The measurement of GFCF also matters for fiscal analysis, since public investment is a component of government spending and contributes to the capital stock. Distinguishing investment from consumption in the budget, and accounting for depreciation and maintenance, informs assessments of fiscal sustainability.&lt;br /&gt;
&lt;br /&gt;
== Investment and the energy transition ==&lt;br /&gt;
&lt;br /&gt;
The energy transition is generating large demands for investment in renewable generation, electricity networks, storage, and efficiency improvements, much of which is recorded as gross fixed capital formation. The scale and composition of this investment have macroeconomic implications, including for productivity, for the trade balance, and for fiscal positions where public investment is involved. Measuring and forecasting these flows is important for assessing the transition&#039;s economic effects.&lt;br /&gt;
&lt;br /&gt;
Investment in intangible assets, including software, data, and organisational capital, is increasingly important for growth but is harder to measure than physical investment. Statistical agencies have expanded the scope of GFCF to include some intangibles, but coverage remains incomplete, and the mismeasurement of the digital economy is a concern for productivity analysis.&lt;br /&gt;
&lt;br /&gt;
== Cyclical behaviour of investment ==&lt;br /&gt;
&lt;br /&gt;
Investment is the most volatile component of GDP and a key driver of business cycles. Because investment decisions depend on expectations of future demand and on the cost and availability of finance, investment collapses in recessions and surges in recoveries. The accelerator model links investment to changes in output, predicting that investment responds strongly to the rate of change of demand rather than its level.&lt;br /&gt;
&lt;br /&gt;
Uncertainty is a major deterrent to investment, because it raises the option value of waiting. Policy uncertainty, including uncertainty about taxes, regulation, and trade, can delay investment even when the level of demand is adequate. This insight has informed analysis of the effects of policy instability and of the design of credible, predictable frameworks for investment.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Capital Formation]]&lt;br /&gt;
* [[Investment]]&lt;br /&gt;
* [[GDP]]&lt;br /&gt;
* [[Capital Goods]]&lt;br /&gt;
* [[Depreciation of Capital]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;United Nations, &#039;&#039;System of National Accounts&#039;&#039;.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;OECD &#039;&#039;Economic Outlook&#039;&#039; and investment statistics.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;World Bank &#039;&#039;World Development Indicators&#039;&#039;.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;National statistical agency methodology for national accounts.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Goodwill&amp;diff=180</id>
		<title>Goodwill</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Goodwill&amp;diff=180"/>
		<updated>2026-10-06T04:45:07Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Goodwill&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&#039;&#039;&#039;Goodwill&#039;&#039;&#039; is an intangible asset that arises when a company acquires another company for a price greater than the fair value of the acquired firm&#039;s identifiable net assets. It represents the value of factors not separately identifiable, such as brand reputation, customer relationships, skilled workforce, expected synergies, and future growth prospects. Goodwill appears on the acquirer&#039;s balance sheet and is subject to periodic testing for impairment rather than systematic amortisation under most accounting standards.&lt;br /&gt;
&lt;br /&gt;
== Recognition and measurement ==&lt;br /&gt;
&lt;br /&gt;
Goodwill is recognised only in a business combination. It is measured as the excess of the consideration transferred, plus the fair value of any non-controlling interest, over the fair value of the identifiable net assets acquired. Identifiable assets and liabilities are recognised at fair value as of the acquisition date, and any difference is recorded as goodwill. Internal expenditures to build brand or reputation are expensed as incurred and are not capitalised as goodwill.&lt;br /&gt;
&lt;br /&gt;
Because goodwill is a residual, its measurement depends on the valuation of the acquired net assets and on the purchase price. Fair-value estimates of intangible assets and contingent liabilities involve judgement, which can materially affect the amount of goodwill recognised.&lt;br /&gt;
&lt;br /&gt;
== Accounting treatment ==&lt;br /&gt;
&lt;br /&gt;
Under international standards, goodwill is not amortised. Instead, it is tested for impairment at least annually and whenever there is an indication that it may be impaired. The test compares the carrying amount of the cash-generating unit to which goodwill is allocated with its recoverable amount, defined as the higher of fair value less costs of disposal and value in use. If the carrying amount exceeds the recoverable amount, an impairment loss is recognised, reducing earnings and the balance sheet.&lt;br /&gt;
&lt;br /&gt;
US standards follow a similar approach, with an option to first perform a qualitative assessment to determine whether a quantitative impairment test is necessary. Impairment charges can be large and are closely watched by investors because they signal that an acquisition has not delivered the expected value.&lt;br /&gt;
&lt;br /&gt;
== Impairment and its signals ==&lt;br /&gt;
&lt;br /&gt;
Goodwill impairment often follows disappointing performance of an acquired business, changes in market conditions, or revised growth expectations. Because impairment is recognised after the fact, it is sometimes criticised as a lagging indicator that allows overvalued acquisitions to remain on the books too long. Analysts examine the composition of goodwill, the assumptions underlying impairment testing, and the frequency of write-downs as indicators of the quality of management&#039;s capital allocation.&lt;br /&gt;
&lt;br /&gt;
A related concept is the &#039;&#039;&#039;acquisition premium&#039;&#039;&#039;, the amount by which the purchase price exceeds the target&#039;s pre-acquisition market value. Empirical research finds that acquirers often overpay, particularly in periods of high market valuations and abundant financing, and that acquisitions frequently destroy shareholder value for the acquirer. Goodwill write-offs are one manifestation of this tendency.&lt;br /&gt;
&lt;br /&gt;
== Economic interpretation ==&lt;br /&gt;
&lt;br /&gt;
Economically, goodwill reflects the expectation of synergies or of undervaluation. If the acquirer can generate cost savings, revenue enhancements, or better management, the premium may be justified. If the premium reflects hubris, empire building, or competition among bidders, it may represent a transfer from acquirer shareholders to target shareholders without corresponding value creation.&lt;br /&gt;
&lt;br /&gt;
The treatment of goodwill also affects comparability and can obscure the underlying performance of a business. Analysts often examine earnings before interest, taxes, depreciation, and amortisation, and they adjust for impairment charges, to assess operating performance excluding acquisition-related items. Regulators and standard setters continue to debate whether amortisation, impairment testing, or a combination best serves users of financial statements.&lt;br /&gt;
&lt;br /&gt;
== Goodwill in the balance sheet ==&lt;br /&gt;
&lt;br /&gt;
Goodwill appears in the non-current assets section of the balance sheet and can represent a substantial share of total assets for acquisitive companies. Unlike tangible assets, goodwill has no physical form and cannot be sold separately from the business. It is therefore an indivisible asset whose value is realised only through the operation of the acquired business, which makes its valuation inherently uncertain and dependent on future cash flows.&lt;br /&gt;
&lt;br /&gt;
Analysts frequently adjust for goodwill when assessing a company&#039;s financial position. Leverage measures may be computed on a tangible equity basis, excluding goodwill and other intangibles, to assess how much of the equity is backed by hard assets. Goodwill-heavy balance sheets are more exposed to impairment and to the risk that reported equity overstates the company&#039;s resilience in a downturn.&lt;br /&gt;
&lt;br /&gt;
== Goodwill impairment and earnings ==&lt;br /&gt;
&lt;br /&gt;
An impairment charge reduces reported earnings and the balance sheet carrying amount of goodwill. Because it is a non-cash charge, it does not affect cash flow, but it signals that the acquired business is worth less than previously recorded. Large impairment charges often trigger scrutiny of management&#039;s acquisition strategy and can lead to changes in leadership or to strategic reviews.&lt;br /&gt;
&lt;br /&gt;
The timing and magnitude of impairments can be influenced by managerial incentives, since executives may delay recognition to avoid reputational damage or may take a &amp;quot;big bath&amp;quot; by recognising large charges in a year already marked by losses. These incentives create challenges for auditors and for investors, and they have led to demands for greater transparency about the assumptions used in impairment testing, including discount rates, terminal growth rates, and cash-flow projections.&lt;br /&gt;
&lt;br /&gt;
== Goodwill and performance metrics ==&lt;br /&gt;
&lt;br /&gt;
Because goodwill amortisation and impairment complicate comparisons, companies and analysts often use adjusted metrics that exclude these items. Such adjustments are informative if applied consistently but can be misused to present an overly favourable picture. Regulators have emphasised the importance of transparency and of clear reconciliation between reported and adjusted figures.&lt;br /&gt;
&lt;br /&gt;
Return on invested capital and similar metrics can be computed with or without goodwill, giving very different pictures of profitability. Excluding goodwill can overstate returns by ignoring the price paid for acquisitions, while including it can understate returns if the goodwill reflects genuine synergies that will materialise over time. Careful analysis therefore examines both perspectives and considers the underlying economics of the acquisition.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Intangible Asset]]&lt;br /&gt;
* [[Merger]]&lt;br /&gt;
* [[Balance Sheet]]&lt;br /&gt;
* [[Impairment]]&lt;br /&gt;
* [[Acquisition]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;International Financial Reporting Standards on business combinations and impairment.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;Accounting standard-setter guidance on goodwill and intangible assets.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;Academic research on acquisition performance and goodwill write-offs.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Corporate finance literature on merger premiums and value creation.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Giffen_Good&amp;diff=179</id>
		<title>Giffen Good</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Giffen_Good&amp;diff=179"/>
		<updated>2026-10-06T04:45:06Z</updated>

		<summary type="html">&lt;p&gt;Toto: New encyclopedia article: Giffen Good&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;A &#039;&#039;&#039;Giffen good&#039;&#039;&#039; is a good for which an increase in price leads to an increase in the quantity demanded, violating the law of demand. This paradoxical result arises when the good is a staple that absorbs a large share of a poor consumer&#039;s budget and has few close substitutes. When its price rises, the consumer&#039;s real income falls so sharply that he or she is forced to cut back on more expensive foods and consume more of the cheap staple, producing a positive relationship between price and quantity demanded.&lt;br /&gt;
&lt;br /&gt;
== Origin and concept ==&lt;br /&gt;
&lt;br /&gt;
The concept is named after the nineteenth-century economist Robert Giffen, who is said to have observed that a rise in the price of bread led poor households in Victorian Britain to buy more bread and less meat, because bread was the cheapest source of calories and the price increase reduced their real income so much that they could no longer afford meat. The empirical basis of the original observation has been questioned, but the theoretical possibility is well established.&lt;br /&gt;
&lt;br /&gt;
The Giffen good is a special case of an inferior good. For an inferior good, demand falls as income rises. For a Giffen good, the income effect of a price increase is so large and negative that it outweighs the substitution effect, which normally reduces quantity demanded when price rises.&lt;br /&gt;
&lt;br /&gt;
== Decomposition of the price effect ==&lt;br /&gt;
&lt;br /&gt;
The effect of a price change on quantity demanded can be decomposed into a substitution effect and an income effect, a result known as the Slutsky equation. The substitution effect is always negative for a normal or inferior good: when price rises, the consumer substitutes away from the good, reducing quantity. The income effect is negative for a normal good, reinforcing the substitution effect, but positive for an inferior good, because a price increase reduces real income, and for an inferior good lower real income raises demand.&lt;br /&gt;
&lt;br /&gt;
For a Giffen good, the positive income effect is large enough to dominate the negative substitution effect, producing a net positive response of quantity demanded to price. This requires the good to be strongly inferior and to account for a large share of the consumer&#039;s budget, so that a price change has a substantial effect on real income.&lt;br /&gt;
&lt;br /&gt;
== Conditions and examples ==&lt;br /&gt;
&lt;br /&gt;
The conditions for a Giffen good are demanding: the good must be inferior, have few substitutes, and command a large budget share. Such combinations are rare in practice, which is why clear empirical examples are hard to find. Candidate cases have been reported in very poor communities where a single staple dominates the diet, such as rice or bread, but the evidence is often contested and alternative explanations are possible.&lt;br /&gt;
&lt;br /&gt;
Some studies of famine and subsistence behaviour have reported Giffen-like patterns, and experimental work has attempted to create the conditions in laboratory settings. The rarity of Giffen goods does not diminish their theoretical importance, because they demonstrate that the law of demand is not a universal law but a result of specific assumptions.&lt;br /&gt;
&lt;br /&gt;
== Theoretical significance ==&lt;br /&gt;
&lt;br /&gt;
The Giffen good is important in the history of economic thought because it shows that demand curves are not necessarily downward sloping. This has implications for welfare analysis and for policy: if the law of demand fails, standard results about the effects of taxes and subsidies may be reversed. The concept also illustrates the power of the Slutsky decomposition in explaining apparently anomalous behaviour and underscores the importance of income effects in consumer theory.&lt;br /&gt;
&lt;br /&gt;
Beyond the strict Giffen case, the broader lesson is that income effects can matter greatly for behaviour, particularly among poor households for whom price changes have large effects on real purchasing power. This insight informs the design of policies such as food subsidies and cash transfers in developing countries.&lt;br /&gt;
&lt;br /&gt;
== Empirical challenges ==&lt;br /&gt;
&lt;br /&gt;
Identifying a Giffen good empirically is difficult because the conditions required are stringent and because observed price changes are often accompanied by other shifts in the economic environment. To demonstrate a Giffen good, a researcher must show that the demand curve slopes upward after controlling for income, tastes, and other prices, and that the mechanism operates through a large negative income effect. Natural experiments, such as regional price changes or the introduction of a subsidy, provide the best opportunities for testing.&lt;br /&gt;
&lt;br /&gt;
Studies of subsistence economies have produced suggestive evidence. A well-known study of poor households in China found that a rise in the price of rice, the staple food, led to an increase in rice consumption and a reduction in the consumption of more expensive foods, consistent with Giffen behaviour. Other studies have reported similar patterns for other staples, but results remain contested and depend on the specific context and methodology.&lt;br /&gt;
&lt;br /&gt;
== Relation to other demand anomalies ==&lt;br /&gt;
&lt;br /&gt;
Giffen goods are one of several exceptions to the law of demand. Veblen goods, which are demanded more as their price rises because of their status appeal, produce upward-sloping demand through a signalling rather than an income mechanism. Goods with bandwagon or snob effects also exhibit non-standard demand. Goods with habit formation, addiction, and reference dependence can display complex price responses.&lt;br /&gt;
&lt;br /&gt;
Distinguishing among these mechanisms matters for policy. A Veblen good and a Giffen good both exhibit upward-sloping demand, but the welfare implications differ: taxing a Veblen good may reduce conspicuous consumption without much loss of welfare, whereas taxing a Giffen staple would impose severe hardship on the poor. Understanding the mechanism is therefore essential for designing effective and equitable policy.&lt;br /&gt;
&lt;br /&gt;
== Policy relevance ==&lt;br /&gt;
&lt;br /&gt;
The possibility of Giffen behaviour has implications for policies affecting the prices of staple foods, including subsidies, taxes, and price stabilisation schemes. Because the demand for staples among poor households may be insensitive or even perverse, price changes can have large welfare effects and can alter nutrition and health. Policymakers need to consider the income effect of price changes, not just the substitution effect, when designing measures such as food taxes intended to discourage consumption of unhealthy goods.&lt;br /&gt;
&lt;br /&gt;
The Giffen case also illustrates the general principle that income effects matter, particularly for households with limited resources. This insight underpins the design of targeted transfers and the analysis of the distributional effects of price changes, and it cautions against assuming that demand always responds in the conventional direction.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Law of Demand]]&lt;br /&gt;
* [[Inferior Good]]&lt;br /&gt;
* [[Substitution Effect]]&lt;br /&gt;
* [[Veblen Good]]&lt;br /&gt;
* [[Consumer Theory]]&lt;br /&gt;
&lt;br /&gt;
== References ==&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r1&amp;quot;&amp;gt;Microeconomics texts on consumer theory and the Slutsky equation.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;Research on subsistence behaviour and demand in poor economies.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;World Bank studies on food prices and household consumption.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Journal literature on empirical tests of the law of demand.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Toto</name></author>
	</entry>
</feed>