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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, Oxford University Press, vol. 104(2), pages 399-415.
    2. Myerson, Roger B, 1979. "Incentive Compatibility and the Bargaining Problem," Econometrica, Econometric Society, vol. 47(1), pages 61-73, January.
    3. 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.
    4. 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. Georges Dionne, 2012. "The Empirical Measure of Information Problems with Emphasis on Insurance Fraud and Dynamic Data," Cahiers de recherche 1233, CIRPEE.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Kevin X. Li & Yulan Wang & Owen Tang & Jie Min, 2016. "Disclosure in insurance law: a comparative analysis," European Journal of Law and Economics, Springer, vol. 41(2), pages 349-369, April.

    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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