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Evidence of Adverse Selection in Automobile Insurance Markets

Author

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  • Georges Dionne

    (Crest)

  • Christian Gourieroux

    (Crest)

  • Charles Vanasse

    (Crest)

Abstract

In this paper, we propose an empirical analysis of the presence of adverse selection in an insurance market. We first present a theoratical model of a market with adverse selection and we introduce different issues related to transaction costs, accident costs, risk aversion and moral hazard. We then discuss an econometric modeling based on latent variables and we derive its relationship with specification tests that may be useful to isolate the presence of adverse selection in the portfolio of an insurer.
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(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Georges Dionne & Christian Gourieroux & Charles Vanasse, 1998. "Evidence of Adverse Selection in Automobile Insurance Markets," Working Papers 98-24, Center for Research in Economics and Statistics.
  • Handle: RePEc:crs:wpaper:98-24
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    Cited by:

    1. Dionne, G. & Doherty, N., 1991. "Adverse Selection In Insurance Markets: A Selective Survey," Cahiers de recherche 9105, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    2. Makki, Shiva S. & Somwaru, Agapi, 2001. "Asymmetric Information in the Market for Yield and Revenue Insurance," Technical Bulletins 184331, United States Department of Agriculture, Economic Research Service.
    3. Dionne, G. & Maurice, M. & Pinquet, J. & Vanasse, C., 2001. "The Role of Memory in Long-Term Contracting with Moral Hazard: Empirical Evidence in Automobile Insurance," Ecole des Hautes Etudes Commerciales de Montreal- 01-05, Ecole des Hautes Etudes Commerciales de Montreal-Chaire de gestion des risques..
    4. Gourieroux, C. & Jasiak, J., 2004. "Heterogeneous INAR(1) model with application to car insurance," Insurance: Mathematics and Economics, Elsevier, vol. 34(2), pages 177-192, April.
    5. Dionne, Georges, 1998. "La mesure empirique des problèmes d’information," L'Actualité Economique, Société Canadienne de Science Economique, vol. 74(4), pages 585-606, décembre.
    6. Makki, Shiva S. & Somwaru, Agapi, 2002. "Asymmetric Information In Cotton Insurance Markets: Evidence From Texas," 2002 Annual meeting, July 28-31, Long Beach, CA 19827, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. Jose Antonio Ordaz & Maria del Carmen Melgar & M. Kazim Khan, 2010. "Use and Extension of Count Data Models in the Determination of Relevant Factors for Claims in the Automobile Insurance Sector," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 119-138.
    8. M. Dahchour & G. Dionne, 2002. "Pricing of Automobile Insurance Under Asymmetric Information : a Study on Panel Data," THEMA Working Papers 2002-12, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    9. Pierre-André Chiappori & Bernard Salanié, 2002. "Testing Contract Theory : A Survey of Some Recent Work," Working Papers 2002-11, Center for Research in Economics and Statistics.
    10. Donatella Porrini, 2015. "Risk Classification Efficiency and the Insurance Market Regulation," Risks, MDPI, Open Access Journal, vol. 3(4), pages 1-10, September.
    11. Georges Dionne & Nathalie Fombaron & Neil Doherty, 2012. "Adverse Selection in Insurance Contracting," Cahiers de recherche 1231, CIRPEE.
    12. Chiappori, Pierre-Andre & Durand, Franck & Geoffard, Pierre-Yves, 1998. "Moral hazard and the demand for physician services: First lessons from a French natural experiment," European Economic Review, Elsevier, vol. 42(3-5), pages 499-511, May.
    13. Dionne, Georges & Vanasse, Charles, 1997. "Une évaluation empirique de la nouvelle tarification de l’assurance automobile (1992) au Québec," L'Actualité Economique, Société Canadienne de Science Economique, vol. 73(1), pages 47-80, mars-juin.

    More about this item

    JEL classification:

    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General

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