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Collusion et information asymétrique

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  • Laffont, Jean Jacques

    (IDEI-GREMAQ, Université de Toulouse I)

Abstract

After justifying the empirical and the theoretical relevance of the analysis of collusion in organizations and markets, the paper presents the two methods available today for studying collusion under incomplete information. Then, a brief survey of the literature is provided and it is shown how taking into account collusion prevents the implementation of the first best in principal-agent theory when agents' characteristics are correlated. Après avoir justifié l’intérêt empirique et l’intérêt théorique des recherches sur la collusion dans les organisations et les marchés, l’article présente les deux méthodes disponibles aujourd’hui pour l’analyse théorique de la collusion en information incomplète. Ensuite, un bref tour d’horizon de la littérature est proposé et on montre comment la prise en compte de la collusion est un obstacle à la réalisation de l’optimum de premier rang dans la théorie principal-agents lorsque les caractéristiques des agents sont corrélées.

Suggested Citation

  • Laffont, Jean Jacques, 1997. "Collusion et information asymétrique," L'Actualité Economique, Société Canadienne de Science Economique, vol. 73(4), pages 595-609, décembre.
    • Handle: RePEc:ris:actuec:v:73:y:1997:i:4:p:595-609
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    References listed on IDEAS

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    Cited by:

    1. Dionne, Georges, 2000. "The Empirical Measure of Information Problems with Emphasis on Insurance Fraud," Working Papers 00-4, HEC Montreal, Canada Research Chair in Risk Management.
    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. Angers, Jean-François & Desjardins, Denise & Dionne, Georges, 2004. "Modèle Bayésien de tarification de l’assurance des flottes de véhicules," L'Actualité Economique, Société Canadienne de Science Economique, vol. 80(2), pages 253-303, Juin-Sept.
    4. Dionne, Georges, 2012. "The empirical measure of information problems with emphasis on insurance fraud and dynamic data," Working Papers 12-10, HEC Montreal, Canada Research Chair in Risk Management.

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