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Too much trade: A problem of adverse selection

Author

Listed:
  • de Meza, David
  • Reito, Francesco
  • Reyniers, Diane

Abstract

It is shown that uni-dimensional adverse selection may result in market expansion beyond the full-information level. Although bad types tend to drive out good, enough good types may remain to draw in excessive numbers of bad types. As a result, the welfare loss from adverse selection is potentially underestimated. Applications are made to insurance, credit and the used car market.

Suggested Citation

  • de Meza, David & Reito, Francesco & Reyniers, Diane, 2021. "Too much trade: A problem of adverse selection," MPRA Paper 107084, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:107084
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    File URL: https://mpra.ub.uni-muenchen.de/107084/1/MPRA_paper_107084.pdf
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    References listed on IDEAS

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    1. de Meza, David & Webb, David C., 2017. "False diagnoses: pitfalls of testing for asymmetric information in insurance markets," LSE Research Online Documents on Economics 65744, London School of Economics and Political Science, LSE Library.
    2. Eduardo M. Azevedo & Daniel Gottlieb, 2017. "Perfect Competition in Markets With Adverse Selection," Econometrica, Econometric Society, vol. 85, pages 67-105, January.
    3. Liran Einav & Amy Finkelstein & Mark R. Cullen, 2010. "Estimating Welfare in Insurance Markets Using Variation in Prices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(3), pages 877-921.
    4. Hanming Fang & Zenan Wu, 2018. "Multidimensional private information, market structure, and insurance markets," RAND Journal of Economics, RAND Corporation, vol. 49(3), pages 751-787, September.
    5. Liran Einav & Amy Finkelstein, 2011. "Selection in Insurance Markets: Theory and Empirics in Pictures," Journal of Economic Perspectives, American Economic Association, vol. 25(1), pages 115-138, Winter.
    6. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    7. de Meza, David & Webb, David C, 2001. "Advantageous Selection in Insurance Markets," RAND Journal of Economics, The RAND Corporation, vol. 32(2), pages 249-262, Summer.
    8. David Genesove & Christopher Mayer, 2001. "Loss Aversion and Seller Behavior: Evidence from the Housing Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(4), pages 1233-1260.
    9. David Meza & David C. Webb, 2017. "False Diagnoses: Pitfalls of Testing For Asymmetric Information In Insurance Markets," Economic Journal, Royal Economic Society, vol. 127(606), pages 2358-2377, November.
    10. David de Meza & David C. Webb, 2017. "False Diagnoses: Pitfalls of Testing for Asymmetric Information In Insurance Markets," Economic Journal, Royal Economic Society, vol. 127(606), pages 2358-2377.
    11. Pierre-Andre Chiappori & Bernard Salanie, 2000. "Testing for Asymmetric Information in Insurance Markets," Journal of Political Economy, University of Chicago Press, vol. 108(1), pages 56-78, February.
    12. David de Meza & David C. Webb, 1987. "Too Much Investment: A Problem of Asymmetric Information," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 102(2), pages 281-292.
    13. Michael Rothschild & Joseph Stiglitz, 1976. "Equilibrium in Competitive Insurance Markets: An Essay on the Economics of Imperfect Information," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 90(4), pages 629-649.
    14. Stiglitz, Joseph E & Weiss, Andrew, 1981. "Credit Rationing in Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 71(3), pages 393-410, June.
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    Cited by:

    1. Distefano, Rosaria, 2022. "The social cost of playing by the rules in the credit market," MPRA Paper 115326, University Library of Munich, Germany.
    2. Chih-Hsiung Chang, 2022. "Information Asymmetry and Card Debt Crisis in Taiwan," Bulletin of Applied Economics, Risk Market Journals, vol. 9(2), pages 123-145.
    3. Yann Braouezec & John Cagnol, 2023. "Theoretical Foundations of Community Rating by a Private Monopolist Insurer: Framework, Regulation, and Numerical Analysis," Papers 2309.15269, arXiv.org, revised Dec 2023.
    4. Liran Einav & Amy Finkelstein, 2023. "Empirical analyses of selection and welfare in insurance markets: a self-indulgent survey," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 48(2), pages 167-191, September.

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    More about this item

    Keywords

    asymmetric information; adverse selection; welfare.;
    All these keywords.

    JEL classification:

    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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