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Ex Post Moral Hazard In Crop Insurance: Costly State Verification Or Falsification?

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  • Rejesus, Roderick M.

Abstract

This article examines the extent to which actual crop insurance indemnification behavior conforms to the theoretical predictions of two ex post moral hazard models - costly state verification and costly state falsification. A nonparametric regression technique is used to estimate the crop insurance indemnification profile for non-irrigated cotton in Texas. The results suggest that indemnification behavior in crop insurance is more in line with the costly state falsification paradigm. Thus, crop insurers seem to indemnify based on the assumption that it is not easy to verify actual ex post loss magnitude and eliminate the asymmetric information held by the insured farmers.

Suggested Citation

  • Rejesus, Roderick M., 2002. "Ex Post Moral Hazard In Crop Insurance: Costly State Verification Or Falsification?," 2002 Annual meeting, July 28-31, Long Beach, CA 19650, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea02:19650
    DOI: 10.22004/ag.econ.19650
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    1. Myerson, Roger B, 1979. "Incentive Compatibility and the Bargaining Problem," Econometrica, Econometric Society, vol. 47(1), pages 61-73, January.
    2. Thomas O. Knight & Keith H. Coble, 1997. "Survey of U.S. Multiple Peril Crop Insurance Literature Since 1980," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 19(1), pages 128-156.
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    4. Charles E. Hyde & James A. Vercammen, 1997. "Costly Yield Verification, Moral Hazard, And Crop Insurance Contract Form," Journal of Agricultural Economics, Wiley Blackwell, vol. 48(1‐3), pages 393-407, January.
    5. Lacker, Jeffrey M & Weinberg, John A, 1989. "Optimal Contracts under Costly State Falsification," Journal of Political Economy, University of Chicago Press, vol. 97(6), pages 1345-1363, December.
    6. Bond, Eric W. & Crocker, Keith J., 1997. "Hardball and the soft touch: The economics of optimal insurance contracts with costly state verification and endogenous monitoring costs," Journal of Public Economics, Elsevier, vol. 63(2), pages 239-264, January.
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    8. Hardle, Wolfgang & Linton, Oliver, 1986. "Applied nonparametric methods," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 38, pages 2295-2339, Elsevier.
    9. 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.
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    Cited by:

    1. Rejesus, R. & Park, S. & Zheng, X. & Goodwin, G., 2018. "How does a Fraud Mitigation Program Influence Insurance Claims filing Behavior? Evidence from the "Spot Check List" Program in U.S. Crop Insurance," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277452, International Association of Agricultural Economists.

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