<?xml version="1.0"?>
<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en">
	<id>https://www.veritaswiki.org/index.php?action=history&amp;feed=atom&amp;title=Adverse_Selection</id>
	<title>Adverse Selection - Revision history</title>
	<link rel="self" type="application/atom+xml" href="https://www.veritaswiki.org/index.php?action=history&amp;feed=atom&amp;title=Adverse_Selection"/>
	<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Adverse_Selection&amp;action=history"/>
	<updated>2026-10-19T18:19:11Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
	<generator>MediaWiki 1.45.3</generator>
	<entry>
		<id>https://www.veritaswiki.org/index.php?title=Adverse_Selection&amp;diff=231&amp;oldid=prev</id>
		<title>Heioo: New encyclopedia article: Adverse Selection</title>
		<link rel="alternate" type="text/html" href="https://www.veritaswiki.org/index.php?title=Adverse_Selection&amp;diff=231&amp;oldid=prev"/>
		<updated>2026-10-06T05:14:47Z</updated>

		<summary type="html">&lt;p&gt;New encyclopedia article: Adverse Selection&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;&amp;#039;&amp;#039;&amp;#039;Adverse selection&amp;#039;&amp;#039;&amp;#039; is a situation in which one party to a transaction has more information than the other about a relevant characteristic, and this asymmetry leads to the selection of participants with undesirable traits. It occurs before a contract is signed, distinguishing it from moral hazard, which arises after contracting. Adverse selection can cause markets to function inefficiently or to fail altogether, and it is a central concept in the economics of information.&lt;br /&gt;
&lt;br /&gt;
== The lemons problem ==&lt;br /&gt;
&lt;br /&gt;
The classic illustration is the market for used cars, analysed by George Akerlof in a paper on the market for lemons. Sellers know the quality of their cars, but buyers cannot distinguish good cars from bad ones, or lemons. Buyers are therefore willing to pay only a price reflecting the average quality of cars on the market. Owners of good cars, unwilling to sell at this price, withdraw from the market, leaving a higher proportion of low-quality cars. The average quality falls, buyers lower their offers further, and the market may unravel entirely.&lt;br /&gt;
&lt;br /&gt;
The lemons problem shows that asymmetric information can drive high-quality goods out of the market, leaving only low-quality goods, or cause the market to collapse. This outcome is inefficient, since mutually beneficial trades between owners of good cars and willing buyers do not occur. The analysis has been applied to many markets and has profound implications for the design of institutions and contracts.&lt;br /&gt;
&lt;br /&gt;
== Insurance markets ==&lt;br /&gt;
&lt;br /&gt;
Adverse selection is particularly important in insurance. If insurers cannot distinguish high-risk from low-risk individuals and charge a uniform premium, high-risk individuals find insurance attractive while low-risk individuals find it expensive relative to their risk and may decline coverage. The insurer&amp;#039;s pool becomes disproportionately high-risk, premiums rise, and more low-risk individuals drop out, potentially leading to a market collapse or to the exclusion of coverage for those who need it most.&lt;br /&gt;
&lt;br /&gt;
Insurance markets respond with a range of mechanisms. Insurers gather information through underwriting, including medical examinations and histories, to classify risks. They design contracts with deductibles, co-payments, and coverage limits to screen applicants, since high-risk individuals may prefer more generous coverage and reveal their type through their choice. Group insurance, through employers, reduces adverse selection by pooling individuals regardless of risk. Mandatory insurance, as in health insurance systems, prevents low-risk individuals from opting out.&lt;br /&gt;
&lt;br /&gt;
== Credit markets and labour markets ==&lt;br /&gt;
&lt;br /&gt;
In credit markets, adverse selection arises because borrowers know more about their prospects and intentions than lenders do. If lenders cannot distinguish good from bad borrowers and charge a uniform interest rate, good borrowers may be deterred while risky borrowers accept the terms. Raising interest rates can worsen the pool, since safer borrowers drop out, so lenders may ration credit rather than raise rates, a result analysed by Joseph Stiglitz and Andrew Weiss. Collateral requirements and credit screening mitigate the problem.&lt;br /&gt;
&lt;br /&gt;
In labour markets, adverse selection appears in hiring, where employers cannot fully observe applicants&amp;#039; abilities, and in the market for used goods, where buyers cannot verify quality. Signalling and screening, in which informed parties take costly actions to reveal their type, are the standard responses. Education may serve as a signal of ability, and warranties and certifications can signal quality.&lt;br /&gt;
&lt;br /&gt;
== Policy and institutions ==&lt;br /&gt;
&lt;br /&gt;
Adverse selection justifies a range of policies and institutions. Mandatory participation in insurance markets, such as health insurance mandates, prevents the unraveling of risk pools. Disclosure requirements and certification reduce information asymmetry. Regulation of financial markets, including capital requirements and supervision, limits the consequences of asymmetric information in banking. At the international level, transparency and standards reduce information problems that can disrupt cross-border lending.&lt;br /&gt;
&lt;br /&gt;
The economics of adverse selection, developed by Akerlof, Michael Spence, and Stiglitz, who shared a Nobel Prize for their work on markets with asymmetric information, has transformed the understanding of market functioning. It shows that information is not merely a detail but a fundamental determinant of market outcomes, and that institutions and contracts must be designed with information asymmetries in mind.&lt;br /&gt;
&lt;br /&gt;
== Adverse selection in health insurance ==&lt;br /&gt;
&lt;br /&gt;
Health insurance is the setting where adverse selection has been studied most intensively, because the stakes are high and the policy implications are significant. If insurers are required to charge uniform premiums regardless of health status, individuals with higher expected medical costs are more likely to purchase coverage, while healthier individuals may opt out. The result is a pool with above-average costs, higher premiums, and further withdrawal of low-risk individuals, potentially leading to a market death spiral.&lt;br /&gt;
&lt;br /&gt;
Empirical research on this question has produced nuanced findings. Studies of the individual health insurance market in the United States, before the Affordable Care Act, found evidence of adverse selection, with sicker individuals more likely to buy coverage and premiums rising as a result. Other studies, particularly in the market for employer-provided insurance, find limited adverse selection, because participation is high and risk pools are broad. The design of insurance markets, including mandates, subsidies, and risk adjustment, determines how severe adverse selection becomes.&lt;br /&gt;
&lt;br /&gt;
== Mitigating mechanisms ==&lt;br /&gt;
&lt;br /&gt;
Markets and regulators use several mechanisms to mitigate adverse selection. Risk classification, based on observable characteristics such as age and medical history, allows insurers to price in line with expected costs, reducing the incentive for low-risk individuals to opt out but raising concerns about fairness and access. Risk adjustment transfers funds from insurers with low-risk pools to those with high-risk pools, allowing insurers to compete on efficiency rather than on selection.&lt;br /&gt;
&lt;br /&gt;
Mandates require participation, preventing the withdrawal of low-risk individuals and sustaining the risk pool. Subsidies make coverage more affordable for those with low incomes or high risks. Group insurance, provided through employers or other organisations, pools risks broadly. Contract design, including deductibles and coverage limits, screens applicants by their willingness to accept different terms. These mechanisms are combined in different ways across countries, reflecting differing policy objectives.&lt;br /&gt;
&lt;br /&gt;
== Implications for market design ==&lt;br /&gt;
&lt;br /&gt;
The theory of adverse selection has profound implications for market design. It shows that private information can cause markets to fail and that unregulated markets may not achieve efficient outcomes. It justifies a role for government in insurance markets, through mandates, subsidies, and regulation, to sustain risk pooling and to ensure access.&lt;br /&gt;
&lt;br /&gt;
The theory also informs the design of mechanisms in other settings, including auctions, credit markets, and labour markets, where screening and signalling are used to overcome information problems. The work of Akerlof, Spence, and Stiglitz on asymmetric information transformed economics by demonstrating that information is a fundamental determinant of market structure and outcomes, and their insights continue to shape policy in insurance, finance, and beyond.&lt;br /&gt;
&lt;br /&gt;
== See also ==&lt;br /&gt;
&lt;br /&gt;
* [[Asymmetric Information]]&lt;br /&gt;
* [[Moral Hazard]]&lt;br /&gt;
* [[Principal-Agent Problem]]&lt;br /&gt;
* [[Signalling]]&lt;br /&gt;
* [[Market Failure]]&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 adverse selection.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r2&amp;quot;&amp;gt;Journal research on insurance and credit markets under asymmetric information.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r3&amp;quot;&amp;gt;OECD work on financial regulation and disclosure.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&amp;lt;ref name=&amp;quot;r4&amp;quot;&amp;gt;Health economics literature on risk pooling and mandates.&amp;lt;/ref&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;references /&amp;gt;&lt;/div&gt;</summary>
		<author><name>Heioo</name></author>
	</entry>
</feed>