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Overconfidence and asymmetric information: The case of insurance

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  • Sandroni, Alvaro
  • Squintani, Francesco

Abstract

This paper contributes to the recent behavioral economics literature by showing that whether or not overconfidence changes qualitative predictions in asymmetric information markets may depend on the market structure itself. We first show that overconfidence may overturn fundamental relations between observable variables in perfect-competition asymmetric information insurance markets. In monopolistic insurance markets, in constrast, we find that overconfidence may be observationally equivalent to variations in the risk composition of the economy. Our analysis provides a number of novel testable implications on (i) price heterogeneity within and across risk classes, (ii) the relationship between ex-post risk and insurance coverage, (iii) the fact that a significant fraction of agents chooses to be uninsured, and (iv) the relationship between underinsurance and age.

Suggested Citation

  • Sandroni, Alvaro & Squintani, Francesco, 2013. "Overconfidence and asymmetric information: The case of insurance," Journal of Economic Behavior & Organization, Elsevier, vol. 93(C), pages 149-165.
  • Handle: RePEc:eee:jeborg:v:93:y:2013:i:c:p:149-165
    DOI: 10.1016/j.jebo.2012.10.015
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    1. Alois Geyer & Daniela Kremslehner & Alexander Muermann, 2020. "Asymmetric Information in Automobile Insurance: Evidence From Driving Behavior," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(4), pages 969-995, December.
    2. Michael D. Grubb, 2015. "Overconfident Consumers in the Marketplace," Journal of Economic Perspectives, American Economic Association, vol. 29(4), pages 9-36, Fall.
    3. Schumacher, Heiner, 2016. "Insurance, self-control, and contract flexibility," European Economic Review, Elsevier, vol. 83(C), pages 220-232.
    4. M. Martin Boyer & Franca Glenzer, 2021. "Pensions, annuities, and long-term care insurance: on the impact of risk screening," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 46(2), pages 133-174, September.
    5. Michael Grubb, 2015. "Behavioral Consumers in Industrial Organization: An Overview," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 47(3), pages 247-258, November.
    6. Michael D. Grubb, 2015. "Behavioral Consumers in Industrial Organization," Boston College Working Papers in Economics 879, Boston College Department of Economics.
    7. Claus, Edda & Nguyen, Viet Hoang, 2023. "Biased expectations," European Economic Review, Elsevier, vol. 154(C).
    8. Raphael Guber & Martin G. Kocher & Joachim Winter, 2021. "Does having insurance change individuals' self‐confidence?," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(2), pages 429-442, June.
    9. Proeger, Till & Meub, Lukas, 2014. "Overconfidence as a social bias: Experimental evidence," Economics Letters, Elsevier, vol. 122(2), pages 203-207.
    10. Martin Chegere & Paolo Falco & Marco Nieddiu & Lorenzo Pandolfi & Mattea Stein, 2022. "It’s a Sure Win! Experimental evidence on overconfidence in betting behavior," CSEF Working Papers 655, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    11. Cupal Martin & Sedlačík Marek & Michálek Jaroslav, 2019. "The Assessment of a Building’s insurable Value using Multivariate Statistics: The Case of the Czech Republic," Real Estate Management and Valuation, Sciendo, vol. 27(3), pages 81-96, September.
    12. Ziebarth Nicolas R., 2018. "Biased Lung Cancer Risk Perceptions: Smokers are Misinformed," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 238(5), pages 395-421, September.
    13. Andrzej Baniak & Peter Grajzl, 2016. "Controlling Product Risks when Consumers Are Heterogeneously Overconfident: Producer Liability versus Minimum-Quality-Standard Regulation," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 172(2), pages 274-304, June.
    14. Kremslehner, Daniela & Muermann, Alexander, 2016. "Asymmetric information in automobile insurance: Evidence from driving behavior," CFS Working Paper Series 543, Center for Financial Studies (CFS).
    15. M. Martin Boyer & Richard Peter, 2020. "Insurance Fraud in a Rothschild–Stiglitz World," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(1), pages 117-142, March.
    16. Kirchgässner, Gebhard, 2014. "On the Process of Scientific Policy Advice - With Special Reference to Economic Policy," Economics Working Paper Series 1438, University of St. Gallen, School of Economics and Political Science.
    17. Heger, Stephanie A. & Papageorge, Nicholas W., 2018. "We should totally open a restaurant: How optimism and overconfidence affect beliefs," Journal of Economic Psychology, Elsevier, vol. 67(C), pages 177-190.
    18. Andrzej Baniak & Peter Grajzl, 2014. "Controlling Product Risks when Consumers are Heterogeneously Overconfident: Producer Liability vs. Minimum Quality Standard Regulation," CESifo Working Paper Series 5003, CESifo.

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    More about this item

    Keywords

    Insurance; Overconfidence; Asymmetric Information;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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