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— CH. 1 · INTRODUCTION —

Information asymmetry

12 min listen · Ch. 1 of 7
7 sections
  • Information asymmetry sits at the heart of almost every transaction humans make. When you buy a used car, the seller knows things you do not. When you apply for health insurance, you know things the insurer cannot. This gap between what one party knows and what the other knows has shaped markets, sparked wars, and drawn some of the sharpest minds in economics into decades of study.

    Three Nobel Prizes trace directly to this single idea. In 1996, James Mirrlees and William Vickrey were honored for work on incentives under asymmetric information. In 2001, George Akerlof, Michael Spence, and Joseph Stiglitz shared the prize for their analyses of markets where information is unequally held. Then in 2007, Leonid Hurwicz, Eric Maskin, and Roger Myerson won for laying the foundations of mechanism design theory, a discipline built around coaxing honest information out of market participants.

    The questions this documentary will follow are deceptively simple. Why do markets sometimes collapse entirely because of hidden information? How did economists turn a commonsense observation into a rigorous science? And what happens when the imbalance tips the other way, when buyers know more than sellers?

  • Greek Stoics writing in the 2nd century BCE already wrestled with what we now call information asymmetry. Their vehicle was a story about a merchant sailing from Alexandria to the famine-struck island of Rhodes. Several grain merchants had set out to deliver supplies, but one arrived ahead of his competitors. The question the Stoics posed was stark: should he tell the Rhodians that more ships were coming, or keep silent and sell at peak famine prices?

    Cicero revisited this dilemma in De Officiis and sided with the Stoics, arguing that the merchant had a moral duty to disclose. Thomas Aquinas later overturned that consensus, holding that price disclosure was not obligatory.

    Despite this early philosophical attention, the formal economic study of information asymmetry remained largely dormant until after the Second World War. Joseph Stiglitz, reflecting on earlier thinkers, credited Adam Smith, John Stuart Mill, and Max Weber with some awareness of information problems. He concluded, however, that they largely minimized the implications or treated these problems as secondary issues rather than central forces shaping markets.

    One important exception was Friedrich Hayek, whose work on prices as signals of relative scarcity can be read as an early encounter with asymmetric information, even if he did not use that term. Hayek's insight that prices carry information that no central planner could collect was a preview of what Akerlof, Spence, and Stiglitz would formalize decades later.

  • George Akerlof's paper The Market for Lemons, published in 1970, changed the way economists think about markets. Its central model was deliberately simple: imagine a used car market where sellers know the exact quality of their vehicles but buyers only know the overall probability that any given car is good or bad.

    Because buyers cannot tell a reliable car from a defective one, they offer a price that reflects the average expected quality. Sellers with genuinely good cars find that price too low and exit the market. This raises the proportion of bad cars, which causes buyers to lower their offers further, which drives out more good cars. The cycle continues until the market may decay entirely, a point Akerlof calls nonexistence.

    Akerlof drew heavily on Kenneth Arrow, who had won the Nobel Prize in 1972 for related work. Arrow had studied medical care and identified three patterns that fed directly into Akerlof's thinking. First, insured patients have less incentive to take care because costs are covered, the condition known as moral hazard. Second, insurance companies pool high-risk and low-risk individuals at the same cost. Third, patients must trust their doctors because they cannot inspect the quality of medical advice. Arrow noted that this unique relationship demands high levels of certification to maintain quality.

    Akerlof extended his model well beyond used cars. He used it to ask why raising insurance premiums cannot solve the problem of elderly people being denied medical coverage. He applied the same logic to ask why employers might rationally refuse to hire minorities. Through these applications, he developed the concept of the "cost of dishonesty" and argued that trust is itself a scarce economic resource.

  • Michael Spence was the first economist to coin the term "signaling". He acknowledged Kenneth Arrow and Thomas Schelling as helpful in discussing his ideas, but he cited no formal sources for his inspiration. He believed he had introduced something genuinely new to economics and encouraged others to follow.

    Spence's central example was the job market. An employer wants to hire someone "skilled in learning", but every applicant claims to have that skill. Spence proposed that finishing college functions as a credible signal precisely because it is easier for capable learners to complete a degree than for less capable ones. The diploma does not prove what was learned; it signals an underlying capacity.

    Spence himself noted the limits of this logic. Finishing college might signal an ability to pay tuition rather than an ability to learn. It might signal a willingness to conform to authority rather than intellectual capacity. The signal carries information, but not necessarily the information employers think it carries.

    Joseph Stiglitz approached the same problem from the opposite direction. Where Spence focused on the informed party sending signals, Stiglitz focused on the uninformed party designing choices that sort people by type. His mechanism was screening: offer a menu of options structured so that each type of person self-selects into the option that reveals their private information. Stiglitz applied this framework to insurance markets, where information asymmetry problems are especially acute. His thinking drew from Spence and Akerlof, and also from earlier collaborative work he had done with Michael Rothschild, published in 1976.

  • Health insurance markets demonstrate how information asymmetry can produce what researchers call a death spiral, a dynamic studied as early as 1988. When a group policy is set, members can leave but no one can join after the policy is established. Over time, healthy policyholders discover that their premiums exceed their expected health costs and exit to find cheaper coverage. Their departure increases costs for those who remain, which pushes more healthy people out, raising premiums further. High-risk policyholders cannot easily leave because they depend on coverage, so they absorb the escalating costs until the original group disappears entirely.

    George Akerlof identified several counteracting institutions that markets have developed to resist this unraveling. Guarantees and warranties give buyers extra time to assess quality before bearing the full risk of a defective purchase. Brand names and franchise agreements provide buyers with a threshold quality guarantee, allowing owners of high-quality products to command full value rather than being dragged down by the average. Warranties have roots going back to the Babylonian era and can take the form of insurance or buyer-funded protection plans.

    The implementation of so-called lemon laws addressed the effect of information asymmetry on consumers who receive defective products, allowing returns within a defined period regardless of circumstances. The Securities and Exchange Commission's Regulation Fair Disclosure required companies to faithfully disclose material information to all investors simultaneously. Research has shown this policy reduced information asymmetry as reflected in lower trading costs.

  • James Fearon's game-theoretic study of war found that information asymmetry can explain why countries fail to reach peaceful settlements. Two states will not agree to a non-violent outcome when they each have incentives to misrepresent their military resources. Jackson and Morelli identified asymmetric information as a driver of conflict when leaders have different beliefs about armaments, the quality of military personnel, tactics, determination, geography, and political climate. A widely cited observation holds that most of the great wars of the modern era resulted from leaders miscalculating their prospects for victory.

    Regulators face a related version of this problem. Private firms have better information than regulators about the actions they would take in the absence of regulation, which can undermine the effectiveness of regulatory oversight.

    Research by Tshilidzi Marwala and Evan Hurwitz found that artificial intelligence agents exhibit lower information asymmetry with each other than human agents do. When these agents participate in financial markets, they reduce arbitrage opportunities and make markets more efficient. Their study also found that as the number of artificial intelligent agents in a market increases, the volume of trades tends to fall. The reasoning points back to a foundational insight: trade itself depends on differences in perceived value, and those differences are a form of information asymmetry.

    In management research, a 2013 study by Schmidt and Keil found that firms possessing private information about their own resources can translate that advantage into competitive position. A separate 2013 study by Ozeml, Reuer, and Gulati found that venture capital and alliance networks generate information asymmetry when team members bring different specialized knowledge toward a shared strategic decision, producing inefficient outcomes.

  • The work of Akerlof, Spence, and Stiglitz did not simply add a chapter to economics. It changed what economists were willing to assume. Before their contributions, neoclassical models routinely assumed that all parties in a transaction had equal access to information, a condition called perfect information. After the 2001 Nobel Prize, that assumption required justification rather than being treated as a default.

    Akerlof carried the argument into macroeconomics, challenging a Keynesian view that unemployment is voluntary. He argued that people do not behave with perfect rationality under information gaps; instead, information asymmetry produces what he called "near rationality", small deviations from optimal behavior that compound into observable patterns in employment markets. He drew on psychology and sociology to make the case, pointing toward what is now called behavioral economics.

    Stiglitz explored economies in the developing world and found behavior consistent with the trio's theories. He identified two things needed to overcome information asymmetry: incentives and mechanisms. He argued that incentives will always exist because markets are inherently informationally inefficient. Wherever there is a profit to be gained from knowing something others do not, people will seek that knowledge.

    Spence's signaling work in the 1980s contributed to the emergence of game theory as a formal field of study. The 1996 Nobel Prize to Mirrlees and Vickrey recognized work done in the 1970s on income taxation and auctions as mechanisms for drawing out information from market participants. That prize arrived decades after the underlying research, illustrating a pattern Stiglitz noted: the impact of academic work can go unrecognized for many years. A 2013 study by Gregory Saxton and Ashley Anker found that participation in financial blogging by credible individuals reduces information asymmetry between corporate insiders and the public, with the additional effect of reducing the risk of insider trading.

Common questions

What is information asymmetry in economics?

Information asymmetry is a situation where one party in a transaction has more or better information than the other. It creates an imbalance of power that can cause transactions to be inefficient and, in the worst case, lead to market failure. Examples include adverse selection, moral hazard, and monopolies of knowledge.

Who won the Nobel Prize for research on information asymmetry?

Three Nobel Prizes have been awarded for work on information asymmetry. In 1996, James Mirrlees and William Vickrey won for contributions to the economic theory of incentives under asymmetric information. In 2001, George Akerlof, Michael Spence, and Joseph Stiglitz won for their analyses of markets with asymmetric information. In 2007, Leonid Hurwicz, Eric Maskin, and Roger Myerson won for laying the foundations of mechanism design theory.

What is George Akerlof's Market for Lemons?

The Market for Lemons is a 1970 paper by George Akerlof that models how information asymmetry causes market failure. In a used car market where sellers know the quality of their cars but buyers do not, sellers of good cars receive prices based on average quality and exit the market, leaving a higher proportion of defective cars. Akerlof showed this cycle can continue until the market ceases to exist entirely.

What is the difference between signaling and screening in information asymmetry?

Signaling, coined by Michael Spence, is when the better-informed party transmits information to reduce asymmetry, such as a job applicant finishing college to signal learning ability. Screening, pioneered by Joseph Stiglitz, is when the less-informed party designs a menu of choices so that each type of person self-selects into an option that reveals their private information. Spence introduced signaling shortly after Akerlof's 1970 paper, and Stiglitz built on both.

How does moral hazard relate to information asymmetry?

Moral hazard occurs when the ignorant party lacks information about whether the agreed transaction is being performed as intended. Being insured, for example, can reduce an individual's incentive to avoid risk because they know costs will be covered. Kenneth Arrow identified moral hazard in his 1963 study of medical care, work that Akerlof drew on directly.

How does information asymmetry cause wars according to researchers?

Jackson and Morelli identified asymmetric information between national leaders as a cause of conflict, arising when leaders differ in what they know about each other's armaments, military quality, tactics, determination, or political climate. James Fearon found in a game-theoretic analysis that two countries fail to reach a non-violent settlement when both have incentives to misrepresent their military resources. A frequently cited observation holds that most of the great wars of the modern era resulted from leaders miscalculating their prospects for victory.

All sources

62 references cited across the entry

  1. 2JournalMoral Hazard: A Question of Morality?Allard E. Dembe et al. — 2000
  2. 4BookThe Design and Implementation of U.S. Climate PolicyDon Fullerton et al. — University of Chicago Press — 2010
  3. 15JournalA Near-Rational Model of the Business Cycle, with Wage and Price InertiaGeorge A. Akerlof et al. — 1985-01-01
  4. 16JournalThe Economics of InformationGeorge J. Stigler — 1961-06-01
  5. 18BookChapter Ten – Health Care Markets, Regulators, and CertifiersDavid Dranove — Elsevier — 2011-01-01
  6. 19JournalBank bailouts: Moral hazard vs. Value effectTito Cordella et al. — 2003
  7. 22JournalJob Market SignalingMichael Spence — August 1973
  8. 23JournalSignaling theory and information asymmetry in online commerceTamilla Mavlanova et al. — 2012-07-01
  9. 24JournalUncertainty and the Welfare Economics of Medical CareKenneth J. Arrow — 1963
  10. 25JournalAdverse Selection in Health InsuranceDavid M. Cutler et al. — 1998
  11. 26JournalEvolution of product warranty: a chronological studyArvinder P.S. Loomba — June 1998
  12. 29JournalAgency Theory: An Assessment and ReviewKathleen M. Eisenhardt — 1989
  13. 30JournalRegulating a Monopolist with Unknown CostsDavid P. Baron et al. — 1982
  14. 31JournalMonopoly with Incomplete InformationEric Maskin et al. — 1984
  15. 32JournalGathering Information before Signing a ContractJacques Cremer et al. — 1992
  16. 33JournalContracts and Productive Information GatheringJacques Crémer et al. — 1998a
  17. 35JournalThe costs and benefits of additional information in agency models with endogenous information structuresEva I. Hoppe et al. — 2010
  18. 36JournalStrategic Information Gathering before a Contract Is OfferedJacques Crémer et al. — 1998b
  19. 37JournalObservability of information acquisition in agency modelsEva I. Hoppe — 2013
  20. 39JournalOptimal Task Design: To Integrate or Separate Planning and Implementation?Fahad Khalil et al. — 2006
  21. 42JournalThe Effect of Product Misperception on Economic Outcomes: Evidence from the Extended Warranty MarketJose Miguel Abito et al. — 2018-09-04
  22. 44JournalInformation asymmetry and corporate governanceJie Cai et al. — 2015
  23. 47JournalThe Aggregate Effects of Decentralized Knowledge Production: Financial Bloggers and Information Asymmetries in the Stock MarketGregory D. Saxton et al. — 2013
  24. 48BookManagerial Economics: A Problem-Solving ApproachNick Wilkinson — Cambridge University Press — 2005
  25. 49JournalRationalist Explanations for WarJames D. Fearon — 1995
  26. 50JournalInformation Asymmetry, Information Precision, and the Cost of CapitalRichard A. Lambert et al. — 2012
  27. 51BookArtificial Intelligence and Economic Theory: Skynet in the MarketTshilidzi Marwala et al. — Springer — 2017
  28. 55JournalWhat Makes a Resource Valuable? Identifying the Drivers of Firm-Idiosyncratic Resource ValueJens Schmidt et al. — 2013-04-01
  29. 56JournalSignals across Multiple Networks: How Venture Capital and Alliance Networks Affect Interorganizational CollaborationUmit Ozmel et al. — 2012-07-24
  30. 59JournalToward a contingent resource-based theory: The impact of information asymmetry on the value of capabilities in veterinary medicineThomas H. Brush et al. — 1999
  31. 60BookInformation Asymmetry in Online AdvertisingJan W. Wiktor et al. — Routledge — 2021
  32. 61BookMass communication theoryDenis McQuail — Sage — 2005
  33. 62JournalEmpirical Identification of Latent Classes in the Assessment of Information Asymmetry and Manipulation in Online AdvertisingKatarzyna Sanak-Kosmowska et al. — 17 October 2020