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Asymmetric Information in the Market for Automobile Insurance: Evidence from Germany

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  • Spindler, Martin

    ()

  • Winter, Joachim

    ()

  • Hagmayer, Steffen

    (Munich Center for the Economics of Aging (MEA))

Abstract

Asymmetric information is an important phenomenon in insurance markets, but the empirical evidence on the extent of adverse selection and moral hazard is mixed. Because of its implications for pricing, contract design, and regulation, it is crucial to test for asymmetric information in speci c insurance markets. In this paper, we analyze a recent data set on automobile insurance in Germany, the largest such market in Europe. We present and compare a variety of statistical testing procedures. We find that the extent of asymmetric information depends on coverage levels and on the speci c risks covered which enhances the previous literature. Within the framework of Chiappori et al. (2006), we also test whether drivers have realistic expectations concerning their loss distribution, and we analyze the market structure.

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Bibliographic Info

Paper provided by Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy in its series MEA discussion paper series with number 12259.

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Date of creation: 24 Jul 2012
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Handle: RePEc:mea:meawpa:12259

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  1. Jullien, Bruno & Salanié, Bernard & Salanié, François, 2001. "Screening Risk Averse Agents Under Moral Hazard," CEPR Discussion Papers 3076, C.E.P.R. Discussion Papers.
  2. Pierre‐André Chiappori & Bruno Jullien & Bernard Salanié & François Salanié, 2006. "Asymmetric information in insurance: general testable implications," RAND Journal of Economics, RAND Corporation, vol. 37(4), pages 783-798, December.
  3. Amy Finkelstein & Kathleen McGarry, 2006. "Multiple Dimensions of Private Information: Evidence from the Long-Term Care Insurance Market," American Economic Review, American Economic Association, vol. 96(4), pages 938-958, September.
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  5. Hanming Fang & Michael P. Keane & Dan Silverman, 2008. "Sources of Advantageous Selection: Evidence from the Medigap Insurance Market," Journal of Political Economy, University of Chicago Press, vol. 116(2), pages 303-350, 04.
  6. Puelz, Robert & Snow, Arthur, 1994. "Evidence on Adverse Selection: Equilibrium Signaling and Cross-Subsidization in the Insurance Market," Journal of Political Economy, University of Chicago Press, vol. 102(2), pages 236-57, April.
  7. Hyojoung Kim & Doyoung Kim & Subin Im & James W. Hardin, 2009. "Evidence of Asymmetric Information in the Automobile Insurance Market: Dichotomous Versus Multinomial Measurement of Insurance Coverage," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(2), pages 343-366.
  8. 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.
  9. Alma Cohen & Peter Siegelman, 2009. "Testing for Adverse Selection in Insurance Markets," NBER Working Papers 15586, National Bureau of Economic Research, Inc.
  10. G. Dionne & N. Doherty & N. Fombaron, 2000. "Adverse Selection in Insurance Markets," THEMA Working Papers 2000-21, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
  11. Georges Dionne & Robert Gagné, 2001. "Deductible Contracts Against Fraudulent Claims: Evidence From Automobile Insurance," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 290-301, May.
  12. Chiappori, Pierre-Andre & Salanie, Bernard, 1997. "Empirical contract theory: The case of insurance data," European Economic Review, Elsevier, vol. 41(3-5), pages 943-950, April.
  13. Liangjun Su & Martin Spindler, 2013. "Nonparametric Testing for Asymmetric Information," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(2), pages 208-225, April.
  14. Kuniyoshi Saito, 2006. "Testing for Asymmetric Information in the Automobile Insurance Market Under Rate Regulation," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 73(2), pages 335-356.
  15. Didier Richaudeau, 1999. "Automobile Insurance Contracts and Risk of Accident: An Empirical Test Using French Individual Data," The Geneva Risk and Insurance Review, Palgrave Macmillan, vol. 24(1), pages 97-114, June.
  16. Gourieroux, Christian & Monfort, Alain & Renault, Eric & Trognon, Alain, 1987. "Generalised residuals," Journal of Econometrics, Elsevier, vol. 34(1-2), pages 5-32.
  17. Dionne, G. & Michaud, P.C. & Dahchour, M., 2004. "Separating Moral Hazard from Adverse Selection in Automobile Insurance: Longitudinal Evidence from France," Discussion Paper 2004-79, Tilburg University, Center for Economic Research.
  18. Alma Cohen, 2005. "Asymmetric Information and Learning: Evidence from the Automobile Insurance Market," The Review of Economics and Statistics, MIT Press, vol. 87(2), pages 197-207, May.
  19. Rothschild, Michael & Stiglitz, Joseph E, 1976. "Equilibrium in Competitive Insurance Markets: An Essay on the Economics of Imperfect Information," The Quarterly Journal of Economics, MIT Press, vol. 90(4), pages 630-49, November.
  20. Akerlof, George A, 1970. "The Market for 'Lemons': Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, MIT Press, vol. 84(3), pages 488-500, August.
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Cited by:
  1. Ciprian Matis & Eugenia Matis, 2013. "Asymmetric Information In Insurance Field: Some General Considerations," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 1(15), pages 17.
  2. Spindler, Martin, 2013. "“They do know what they are doing... at least most of them.” Asymmetric Information in the (private) Disability Insurance," MEA discussion paper series 12260, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.

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