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La mesure empirique des problemes d'information

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  • Dionne, G.
Abstract
Nous abordons la diffcile question de la mesure empirique des effets des problemes d'information sur l'allocation des ressources. deux problemes retiennet notre attention; le risque moral et l'antiselection.

Suggested Citation

  • Dionne, G., 1998. "La mesure empirique des problemes d'information," Papers 9833, Paris X - Nanterre, U.F.R. de Sc. Ec. Gest. Maths Infor..
    • Handle: RePEc:fth:pnegmi:9833
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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. GÓMEZ GARCÍA, J.Mª & PELÁEZ FERMOSO, F.J. & y GARCÍA GONZÁLEZ, A., 2005. "Repercusiones del envejecimiento demográfico sobre el sistema público de pensiones en Castilla y León," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 23, pages 235-253, Abril.
    3. 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.

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    Keywords

    INFORMATION mathematiques et informatique; 200; avenue de la Republique 9 2001 Nanterre CEDEX. 25p.;
    All these keywords.

    JEL classification:

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

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