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Asymmetric Information, Heterogeneity in Risk Perceptions and Insurance: An Explanation to a Puzzle

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  • Kostas Koufopoulos

Abstract

Given that, in equilibrium, all agents freely opt for strictly positive own coverage, competitive models of asymmetric information predict a positive relationship between coverage and ex post risk (accident probability). On the other hand, some recent empirical studies find either negative or no correlation. This paper, by introducing heterogeneity in risk perceptions into an asymmetric information competitive model, provides an explanation to this puzzle. The more optimistic agents underestimate their accident probability relative to less optimistic and so purchase less insurance. They also tend to be less willing to take precautions. This gives rise to separating equilibria exhibiting negative or no correlation between coverage and ex post risk that potentially explain the puzzling empirical findings. Moreover, the no-correlation equilibrium involves some agents being quantity-constrained due to adverse selection. Thus, although the no-correlation empirical findings indicate that there may not be risk-related adverse selection, they do not imply the absence of other forms of adverse selection that have significant effects on the resulting equilibrium.

Suggested Citation

  • Kostas Koufopoulos, 2002. "Asymmetric Information, Heterogeneity in Risk Perceptions and Insurance: An Explanation to a Puzzle," FMG Discussion Papers dp402, Financial Markets Group.
  • Handle: RePEc:fmg:fmgdps:dp402
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    File URL: http://www.lse.ac.uk/fmg/workingPapers/discussionPapers/fmg_pdfs/dp402.pdf
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    1. Michael Manove & A. Jorge Padilla, 1999. "Banking (Conservatively) with Optimists," RAND Journal of Economics, The RAND Corporation, vol. 30(2), pages 324-350, Summer.
    2. Amy Finkelstein & James Poterba, 2004. "Adverse Selection in Insurance Markets: Policyholder Evidence from the U.K. Annuity Market," Journal of Political Economy, University of Chicago Press, vol. 112(1), pages 183-208, February.
    3. Bertrand Villeneuve, 2000. "The Consequences for a Monopolistic Insurance Firm of Evaluating Risk Better than Customers: The Adverse Selection Hypothesis Reversed," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 25(1), pages 65-79, June.
    4. 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.
    5. Chassagnon, A. & Chiappori, P.A., 1994. "Insurance Under Moral Hazard and Adverse Selection: The Case of Pure Competition," Papers 28, Laval - Laboratoire Econometrie.
    6. Georges Dionne & Christian Gourieroux & Charles Vanasse, 2001. "Testing for Evidence of Adverse Selection in the Automobile Insurance Market: A Comment," Journal of Political Economy, University of Chicago Press, vol. 109(2), pages 444-473, April.
    7. 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.
    8. 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.
    9. Viscusi, W Kip, 1990. "Do Smokers Underestimate Risks?," Journal of Political Economy, University of Chicago Press, vol. 98(6), pages 1253-1269, December.
    10. Tomas Philipson & John Cawley, 1999. "An Empirical Examination of Information Barriers to Trade in Insurance," American Economic Review, American Economic Association, vol. 89(4), pages 827-846, September.
    11. repec:bla:scandj:v:90:y:1988:i:3:p:383-413 is not listed on IDEAS
    12. Richard J. Arnott & Joseph E. Stiglitz, 1988. "The Basic Analytics of Moral Hazard," NBER Working Papers 2484, National Bureau of Economic Research, Inc.
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    1. de la Rosa, Leonidas Enrique, 2011. "Overconfidence and moral hazard," Games and Economic Behavior, Elsevier, vol. 73(2), pages 429-451.

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