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The informational content of household decisions with applications to insurance under adverse selection

Author

Listed:
  • G. Dionne
  • D. Gouriéroux
  • C. Vanasse

Abstract

We discuss how to detect the informational content of household decisions among the explanatory variables of econometric models. Two applications to 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.
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Suggested Citation

  • G. Dionne & D. Gouriéroux & C. Vanasse, 1998. "The informational content of household decisions with applications to insurance under adverse selection," THEMA Working Papers 98-06, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    • Handle: RePEc:ema:worpap:98-06
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    Cited by:

    1. Dionne, Georges & Gagne, Robert, 2002. "Replacement Cost Endorsement and Opportunistic Fraud in Automobile Insurance," Journal of Risk and Uncertainty, Springer, vol. 24(3), pages 213-230, May.
    2. 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.
    3. 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.

    More about this item

    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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