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Investing to access an adverse selection market

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  • Heinsalu, Sander

Abstract

I analyse a market with asymmetric information and interdependent values. Accessing the market is costly and stochastic, e.g. requires lobbying, licences or R&D. For a range of parameter values, interventions that raise production or entry costs for all seller types increase trade, investment and payoff for all types. This effect is driven by a novel feedback loop between the market composition and the investment in access.

Suggested Citation

  • Heinsalu, Sander, 2020. "Investing to access an adverse selection market," International Journal of Industrial Organization, Elsevier, vol. 72(C).
    • Handle: RePEc:eee:indorg:v:72:y:2020:i:c:s0167718720300837
    DOI: 10.1016/j.ijindorg.2020.102660
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    References listed on IDEAS

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    1. repec:dau:papers:123456789/14127 is not listed on IDEAS
    2. Fuchs, William & Öry, Aniko & Skrzypacz, Andrzej, 2016. "Transparency and distressed sales under asymmetric information," Theoretical Economics, Econometric Society, vol. 11(3), September.
    3. Camargo, Braz & Lester, Benjamin, 2014. "Trading dynamics in decentralized markets with adverse selection," Journal of Economic Theory, Elsevier, vol. 153(C), pages 534-568.
    4. 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.
    5. Pagnozzi, Marco & Piccolo, Salvatore, 2017. "Contracting with endogenous entry," International Journal of Industrial Organization, Elsevier, vol. 51(C), pages 85-110.
    6. Panu Poutvaara & Andreas Wagener, 2010. "The invisible hand plays dice: multiple equilibria in sects markets," Public Choice, Springer, vol. 145(3), pages 483-502, December.
    7. Victoria Vanasco, 2017. "The Downside of Asset Screening for Market Liquidity," Journal of Finance, American Finance Association, vol. 72(5), pages 1937-1982, October.
    8. Yongmin Chen & Tianle Zhang, 2018. "Entry and Welfare in Search Markets," Economic Journal, Royal Economic Society, vol. 128(608), pages 55-80, February.
    9. Thomas Philippon & Vasiliki Skreta, 2012. "Optimal Interventions in Markets with Adverse Selection," American Economic Review, American Economic Association, vol. 102(1), pages 1-28, February.
    10. Jonathan Chiu & Thorsten V. Koeppl, 2016. "Trading Dynamics with Adverse Selection and Search: Market Freeze, Intervention and Recovery," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(3), pages 969-1000.
    11. Iannaccone, Laurence R, 1992. "Sacrifice and Stigma: Reducing Free-Riding in Cults, Communes, and Other Collectives," Journal of Political Economy, University of Chicago Press, vol. 100(2), pages 271-291, April.
    12. Kyungmin Kim & Marilyn Pease, 2017. "Costly search with adverse selection: solicitation curse versus acceleration blessing," RAND Journal of Economics, RAND Corporation, vol. 48(2), pages 526-553, May.
    13. Gilles Chemla & Christopher A. Hennessy, 2014. "Skin in the Game and Moral Hazard," Journal of Finance, American Finance Association, vol. 69(4), pages 1597-1641, August.
    14. Stephan Lauermann & Asher Wolinsky, 2016. "Search With Adverse Selection," Econometrica, Econometric Society, vol. 84, pages 243-315, January.
    15. Fukui, Masao, 2018. "Asset Quality Cycles," Journal of Monetary Economics, Elsevier, vol. 95(C), pages 97-108.
    16. Gilles Chemla & Christopher A. Hennessy, 2014. "Skin in the Game and Moral Hazard," Post-Print hal-01457063, HAL.
    17. Michael Kremer, 1994. "Can Having Fewer Partners Increase Prevalence of Aids?," NBER Working Papers 4942, National Bureau of Economic Research, Inc.
    18. Anthony Creane & Thomas D. Jeitschko, 2016. "Endogenous Entry in Markets with Unobserved Quality," Journal of Industrial Economics, Wiley Blackwell, vol. 64(3), pages 494-519, September.
    19. Ayça Kaya & Kyungmin Kim, 2018. "Trading Dynamics with Private Buyer Signals in the Market for Lemons," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(4), pages 2318-2352.
    20. Jean Tirole, 2012. "Overcoming Adverse Selection: How Public Intervention Can Restore Market Functioning," American Economic Review, American Economic Association, vol. 102(1), pages 29-59, February.
    21. 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.
    22. Jonathan Chiu & Thorsten V. Koeppl, 2016. "Trading Dynamics with Adverse Selection and Search: Market Freeze, Intervention and Recovery," Review of Economic Studies, Oxford University Press, vol. 83(3), pages 969-1000.
    23. Yongmin Chen & Tianle Zhang, 2018. "Entry and Welfare in Search Markets," Economic Journal, Royal Economic Society, vol. 128(608), pages 55-80, February.
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    Cited by:

    1. Sarah Auster & Nenad Kos & Salvatore Piccolo, 2021. "Optimal Pricing, Private Information and Search for an Outside Offer," ECONtribute Discussion Papers Series 081, University of Bonn and University of Cologne, Germany.
    2. Sarah Auster & Nenad Kos & Salvatore Piccolo, 2021. "Optimal pricing, private information and search for an outside offer," RAND Journal of Economics, RAND Corporation, vol. 52(4), pages 758-777, December.
    3. Heinsalu, Sander, 2021. "Promotion of (interaction) abstinence increases infection prevalence," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 94-112.

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    More about this item

    Keywords

    Lemons market; Common values; Costly entry; Market composition; Asymmetric information;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games

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