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Revenue risk management, risk aversion and the use of Livestock Gross Margin for Dairy Cattle insurance

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  • Valvekar, Mayuri
  • Chavas, Jean P.
  • Gould, Brian W.
  • Cabrera, Victor E.
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    Abstract

    The Livestock Gross Margin Insurance for Dairy Cattle is a federally reinsured insurance program that enables US dairy producers to establish minimum levels of milk income net of feed cost. Given the structure of this program there are an infinite number of possible contract designs based on the choice of deductible level and proportion of production insured. Adding to this complexity, producers vary in their risk preferences, which affect the incentive to insure their margin. It is unclear as to how producers may adopt this program for revenue risk management. This paper investigates the interplay between producer risk preferences, contract design and the subsidization of premium in determining program coverage. We undertook this analysis within an expected utility framework. Optimal contracts under different rates of constant relative rate of risk aversion and subsidies were analyzed using a nonlinear optimization model. We found that total optimal coverage increased significantly with the level of risk of aversion at lower deductibles but as deductible level increased, the level of risk aversion had a lesser impact on total optimal coverages. As expected, at the same deductible and risk aversion levels, inclusion of a premium subsidy increased the total optimal coverage.

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    Bibliographic Info

    Article provided by Elsevier in its journal Agricultural Systems.

    Volume (Year): 104 (2011)
    Issue (Month): 9 ()
    Pages: 671-678

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    Handle: RePEc:eee:agisys:v:104:y:2011:i:9:p:671-678

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    Web page: http://www.elsevier.com/locate/agsy

    Related research

    Keywords: Revenue risk management; Revenue insurance; Price variability; Class III milk price; Risk aversion;

    References

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    1. Cabrera, Victor E. & Gould, Brian W. & Valvekar, Mayuri, 2009. "Livestock Gross Margin Insurance for Dairy Cattle: An Analysis of Program Performance and Cost under Alternative Policy Configurations," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49262, Agricultural and Applied Economics Association.
    2. Cabrera, Victor E. & Letson, David & Podesta, Guillermo, 2007. "The value of climate information when farm programs matter," Agricultural Systems, Elsevier, vol. 93(1-3), pages 25-42, March.
    3. Chavas, Jean-Paul & Holt, Matthew T, 1996. "Economic Behavior under Uncertainty: A Joint Analysis of Risk Preferences and Technology," The Review of Economics and Statistics, MIT Press, vol. 78(2), pages 329-35, May.
    4. Richard E. Just & Linda Calvin & John Quiggin, 1999. "Adverse Selection in Crop Insurance: Actuarial and Asymmetric Information Incentives," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 834-849.
    5. Hart, Chad E. & Hayes, Dermot J. & Babcock, Bruce A., 2003. "Insuring Eggs in Baskets: Should the Government Insure Individual Risks?," Staff General Research Papers 10669, Iowa State University, Department of Economics.
    6. Milton Friedman & L. J. Savage, 1948. "The Utility Analysis of Choices Involving Risk," Journal of Political Economy, University of Chicago Press, vol. 56, pages 279.
    7. Gould, John P, 1969. "The Expected Utility Hypothesis and the Selection of Optimal Deductibles for a Given Insurance Policy," The Journal of Business, University of Chicago Press, vol. 42(2), pages 143-51, April.
    8. Chesney, Marc & Scott, Louis, 1989. "Pricing European Currency Options: A Comparison of the Modified Black-Scholes Model and a Random Variance Model," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(03), pages 267-284, September.
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