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Optimal Insurance Contracts When Establishing the Amount of Losses Is Costly

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  • Louis Kaplow

    ([1] Harvard Law School, 02138 Cambridge MA [2] the National Bureau of Economic Research)

Abstract

The problem of establishing the amount of losses covered by public and private insurance is often characterized by asymmetric information, in which the claimant already knows the extent of a loss but this can be demonstrated to the insurer only at a cost. It is shown that a simple arrangement, which provides greater coverage whenever individuals demonstrate high losses, gives claimants an excessive incentive to establish the amount of their losses. This paper determines what insurance claims process, consistent with the form typically employed in existing insurance arrangements, is optimal. The Geneva Papers on Risk and Insurance Theory (1994) 19, 139–152. doi:10.1007/BF01371689

Suggested Citation

  • Louis Kaplow, 1994. "Optimal Insurance Contracts When Establishing the Amount of Losses Is Costly," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 19(2), pages 139-152, December.
    • Handle: RePEc:pal:genrir:v:19:y:1994:i:2:p:139-152
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    References listed on IDEAS

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    1. Dilip Mookherjee & Ivan Png, 1989. "Optimal Auditing, Insurance, and Redistribution," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 104(2), pages 399-415.
    2. Kathryn E. Spier, 1992. "Incomplete Contracts and Signalling," RAND Journal of Economics, The RAND Corporation, vol. 23(3), pages 432-443, Autumn.
    3. Myerson, Roger B, 1979. "Incentive Compatibility and the Bargaining Problem," Econometrica, Econometric Society, vol. 47(1), pages 61-73, January.
    4. Reinganum, Jennifer F. & Wilde, Louis L., 1985. "Income tax compliance in a principal-agent framework," Journal of Public Economics, Elsevier, vol. 26(1), pages 1-18, February.
    5. Townsend, Robert M., 1979. "Optimal contracts and competitive markets with costly state verification," Journal of Economic Theory, Elsevier, vol. 21(2), pages 265-293, October.
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    Citations

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    Cited by:

    1. 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.
    2. Donatella Porrini, 2002. "Frodi nell'assicurazione RC Auto: analisi economica e possibili rimedi," Rivista di Politica Economica, SIPI Spa, vol. 92(2), pages 109-138, March-Apr.
    3. 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.
    4. 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.
    5. Qin Lian & Harris Schlesinger, 2012. "Insurance Contract Design When the Insurer Has Private Information on Loss Size," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 79(4), pages 1039-1050, December.
    6. Hau, Arthur, 2008. "Optimal insurance under costly falsification and costly, inexact verification," Journal of Economic Dynamics and Control, Elsevier, vol. 32(5), pages 1680-1700, May.
    7. Jill M. Bisco & Kathleen A. McCullough & Charles M. Nyce, 2019. "Postclaim Underwriting And The Verification Of Insured Information: Evidence From The Life Insurance Industry," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 86(1), pages 7-38, March.
    8. R M Rejesus, 2003. "Ex post Moral Hazard in Crop Insurance: Costly State Verification or Falsification?," Economic Issues Journal Articles, Economic Issues, vol. 8(2), pages 29-46, September.
    9. Kaplow, Louis & Shavell, Steven, 1996. "Accuracy in the Assessment of Damages," Journal of Law and Economics, University of Chicago Press, vol. 39(1), pages 191-210, April.
    10. Cohen Alma, 2006. "The Disadvantages of Aggregate Deductibles," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 6(1), pages 1-28, April.
    11. Crocker, Keith J & Tennyson, Sharon, 2002. "Insurance Fraud and Optimal Claims Settlement Strategies," Journal of Law and Economics, University of Chicago Press, vol. 45(2), pages 469-507, October.
    12. Scalera Domenico & Zazzaro Alberto, 2007. "The Unpleasant Effects of Price Deregulation in the European Third-Party Motor Insurance Market: A Theoretical Framework," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 7(1), pages 1-30, October.
    13. Keith J. Crocker & John Morgan, 1998. "Is Honesty the Best Policy? Curtailing Insurance Fraud through Optimal Incentive Contracts," Journal of Political Economy, University of Chicago Press, vol. 106(2), pages 355-375, April.
    14. Stijn Viaene & Guido Dedene, 2004. "Insurance Fraud: Issues and Challenges," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 29(2), pages 313-333, April.

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    More about this item

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • K41 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Litigation Process

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