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Fair Value Of Whole-Farm And Crop-Specific Revenue Insurance

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Author Info

  • Hennessy, David A.
  • Saak, Alexander E.
  • Babcock, Bruce A.

Abstract

The U.S. market in subsidized commodity revenue insurance contracts has expanded rapidly since 1996. By far the most prevalent contract forms are crop-specific, rather than the whole-farm design which has a better claim to being optimal. For an arbitrary acre allocation vector, this paper inquires into absolute and relative determinants of the actuarial costs of these forms. The actuarial value of whole-farm insurance increases under a particular characterization of >more systematic= risk, whereas the actuarial value of insurance through crop-specific contracts need not change. Upon fixing stochastic revenue interactions, we identify conditions such that the expected cost of revenue insurance via crop-specific contracts is increasing under a more dispersed vector of location-and-scale adjusted revenue guarantee parameters. Then we identify two precise requirements such that the actuarial values of the two contract forms converge. To give insights on the difference, fair premiums for whole-farm and crop-specific contracts are compared for typical farms in two states.

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Bibliographic Info

Paper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2003 Annual meeting, July 27-30, Montreal, Canada with number 21988.

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Date of creation: 2003
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Handle: RePEc:ags:aaea03:21988

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Keywords: Risk and Uncertainty;

References

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  1. Campbell, Rachel & Huisman, Ronald & Koedijk, Kees, 2001. "Optimal portfolio selection in a Value-at-Risk framework," Journal of Banking & Finance, Elsevier, vol. 25(9), pages 1789-1804, September.
  2. Stokes, Jeffrey R., 2000. "A Derivative Security Approach To Setting Crop Revenue Coverage Insurance Premiums," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(01), July.
  3. James A. Vercammen, 2000. "Constrained Efficient Contracts for Area Yield Crop Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 856-864.
  4. David A. Hennessy & Bruce A. Babcock & Dermot J. Hayes, 1997. "Budgetary and Producer Welfare Effects of Revenue Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(3), pages 1024-1034.
  5. Hennessy, David A., 2000. "Corporate spin-offs, bankruptcy, investment, and the value of debt," Insurance: Mathematics and Economics, Elsevier, vol. 27(2), pages 229-235, October.
  6. Harvey E. Lapan & David A. Hennessy, 2002. "Symmetry and order in the portfolio allocation problem," Economic Theory, Springer, vol. 19(4), pages 747-772.
  7. Bruce A. Babcock & David A. Hennessy, 1996. "Input Demand under Yield and Revenue Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 416-427.
  8. Olivier Mahul & Brian D. Wright, 2003. "Designing Optimal Crop Revenue Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(3), pages 580-589.
  9. Chambers,Robert G. & Quiggin,John, 2000. "Uncertainty, Production, Choice, and Agency," Cambridge Books, Cambridge University Press, number 9780521785235, October.
  10. Müller, Alfred & Scarsini, Marco, 2000. "Some Remarks on the Supermodular Order," Journal of Multivariate Analysis, Elsevier, vol. 73(1), pages 107-119, April.
  11. Susan Athey, 2002. "Monotone Comparative Statics Under Uncertainty," The Quarterly Journal of Economics, MIT Press, vol. 117(1), pages 187-223, February.
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Cited by:
  1. Turvey, Calum G., 2010. "Whole Farm Income Insurance in a Canadian Context," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61732, Agricultural and Applied Economics Association.

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