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The informational content of household decisions with applications to insurance under asymmetric information

Author

Listed:
  • Dionne, Georges

    (HEC Montreal, Canada Research Chair in Risk Management)

  • Gouriéroux, Christian

    (Toulouse School of Economics)

  • Vanasse, Charles

    (Université de Montréal)

Abstract

We discuss how to detect the informational content of household decisions among the explanatory variables of econometric models. Two applications on the choice of automobile insurance contracts and the demand for life insurance are provided. We show that the information provided by additional decision variables is rather weak and often non significant. In particular, there is no residual asymmetric information when appropriate risk classification is applied in automobile insurance; so, the choice of a deductible does not reveal any information about individual risk. Similarly, the choice of a particular portfolio does not add information on risk aversion in life insurance contracting.

Suggested Citation

  • Dionne, Georges & Gouriéroux, Christian & Vanasse, Charles, 1998. "The informational content of household decisions with applications to insurance under asymmetric information," Working Papers 00-0, HEC Montreal, Canada Research Chair in Risk Management.
    • Handle: RePEc:ris:crcrmw:2000_000
    as

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    References listed on IDEAS

    as
    1. Dionne, G & Vanasse, C, 1992. "Automobile Insurance Ratemaking in the Presence of Asymmetrical Information," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(2), pages 149-165, April-Jun.
    2. 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 236-257, April.
    3. Gourieroux,Christian & Monfort,Alain, 1995. "Statistics and Econometric Models 2 volume set," Cambridge Books, Cambridge University Press, number 9780521478373, July.
    4. Gourieroux, Christian & Monfort, Alain & Trognon, Alain, 1984. "Pseudo Maximum Likelihood Methods: Applications to Poisson Models," Econometrica, Econometric Society, vol. 52(3), pages 701-720, May.
    5. 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.
    6. Dionne, Georges & Gagne, Robert & Gagnon, Francois & Vanasse, Charles, 1997. "Debt, moral hazard and airline safety An empirical evidence," Journal of Econometrics, Elsevier, vol. 79(2), pages 379-402, August.
    7. Gourieroux,Christian & Monfort,Alain, 1995. "Statistics and Econometric Models," Cambridge Books, Cambridge University Press, number 9780521471626, September.
    8. Mayers, David & Smith, Clifford W, Jr, 1983. "The Interdependence of Individual Portfolio Decisions and the Demand for Insurance," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 304-311, April.
    9. Murphy, Kevin M & Topel, Robert H, 2002. "Estimation and Inference in Two-Step Econometric Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 88-97, January.
    10. Dionne, Georges & Gouriéroux, Christian & Vanasse, Charles, 1998. "Evidence of adverse selection in automobile insurance markets," Working Papers 98-9, HEC Montreal, Canada Research Chair in Risk Management.
    11. Wilson, Charles, 1977. "A model of insurance markets with incomplete information," Journal of Economic Theory, Elsevier, vol. 16(2), pages 167-207, December.
    12. Pagan, Adrian, 1984. "Econometric Issues in the Analysis of Regressions with Generated Regressors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(1), pages 221-247, February.
    13. Mervyn A. King & Jonathan I. Leape, 1984. "Wealth and Portfolio Composition: Theory and Evidence," NBER Working Papers 1468, National Bureau of Economic Research, Inc.
    14. Shorrocks, Anthony, 1982. "The Portfolio Composition of Asset Holdings in the United Kingdom," Economic Journal, Royal Economic Society, vol. 92(366), pages 268-284, June.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    nformational content; household decisions; automobile insurance; demand for life insurance; residual asymmetric information; risk classification; deductible; risk aversion; conditional independence; endogenous choice;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies

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