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Intertemporal Risk Management Decisions of Farmers under Preference, Market, and Policy Dynamics

  • Wang, H. Holly
  • Du, Wen

This paper adapts a generalized expected utility (GEU) maximization model (Epstein and Zin, 1989 and 1991) to examine the intertemporal risk management of wheat producers in the Pacific Northwest. Optimization results based on simulated data indicate the feasibility of the GEU optimization as a modeling framework. It further extends the GEU model by incorporating a welfare measure, the certainty equivalent, to investigate the impacts of U.S. government programs and market institutions on farmers' risk management decisions and welfare. A comparison between the GEU and other expected utility models further implies GEU has the advantage of specifying farmers' intertemporal preferences separately and completely. Impact analysis results imply that farmers' optimal hedging is sensitive to changes in the preferences and the effects of these preference changes are intertwined. Target price and loan rate levels, offered by certain government payment programs, can lead to the substitution of government programs for hedging. The evaluation of current risk management tools shows both crop insurance and government payments can improve farmers' welfare significantly. Government payment programs have a greater effect on farmers' welfare than crop insurance and crop insurance outperforms hedging.

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File URL: http://purl.umn.edu/19526
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Paper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2005 Annual meeting, July 24-27, Providence, RI with number 19526.

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Date of creation: 2005
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Handle: RePEc:ags:aaea05:19526
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  1. Coble, Keith H. & Heifner, Richard G. & Zuniga, Manuel, 2000. "Implications Of Crop Yield And Revenue Insurance For Producer Hedging," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(02), December.
  2. Mehra, Rajnish & Prescott, Edward C., 1985. "The equity premium: A puzzle," Journal of Monetary Economics, Elsevier, vol. 15(2), pages 145-161, March.
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  4. Atanu Saha & C. Richard Shumway & Hovav Talpaz, 1994. "Joint Estimation of Risk Preference Structure and Technology Using Expo-Power Utility," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(2), pages 173-184.
  5. Philippe Weil, 1990. "Nonexpected Utility in Macroeconomics," The Quarterly Journal of Economics, Oxford University Press, vol. 105(1), pages 29-42.
  6. Larry D. Makus & Biing-Hwan Lin & John Carlson & Rose Krebill-Prather, 1990. "Factors influencing farm level use of futures and options in commodity marketing," Agribusiness, John Wiley & Sons, Ltd., vol. 6(6), pages 621-631.
  7. Epstein, Larry G & Zin, Stanley E, 1989. "Substitution, Risk Aversion, and the Temporal Behavior of Consumption and Asset Returns: A Theoretical Framework," Econometrica, Econometric Society, vol. 57(4), pages 937-69, July.
  8. H. Holly Wang, 2004. "The impact of US commodity programmes on hedging in the presence of crop insurance," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 31(3), pages 331-352, September.
  9. Sergio H. Lence, 2000. "Using Consumption and Asset Return Data to Estimate Farmers' Time Preferences and Risk Attitudes," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 934-947.
  10. Steven D. Hanson & Robert J. Myers & J. Roy Black, 1998. "The Effects of Crop Yield Insurance Designs on Farmer Participation and Welfare," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(4), pages 806-820.
  11. Olivier Mahul, 2003. "Hedging price risk in the presence of crop yield and revenue insurance," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 30(2), pages 217-239, June.
  12. Charles B. Moss & J. S. Shonkwiler, 1993. "Estimating Yield Distributions with a Stochastic Trend and Nonnormal Errors," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(4), pages 1056-1062.
  13. Howitt, Richard E. & Reynaud, Arnaud & Msangi, Siwa & Knapp, Keith C., 2002. "Calibrated Stochastic Dynamic Models for Resource Management," 2002 Annual meeting, July 28-31, Long Beach, CA 19620, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  14. 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.
  15. Hansen, Lars Peter & Singleton, Kenneth J, 1983. "Stochastic Consumption, Risk Aversion, and the Temporal Behavior of Asset Returns," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 249-65, April.
  16. Keith C. Knapp & Lars J. Olson, 1996. "Dynamic Resource Management: Intertemporal Substitution and Risk Aversion," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(4), pages 1004-1014.
  17. Lence, Sergio H., 2000. "Using Consumption and Asset Return Data to Estimate Farmersï¾’ Time Preferences and Risk Attitudes," Staff General Research Papers 1930, Iowa State University, Department of Economics.
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