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Production and Moral Hazard Effects of 2014 Cotton Farm Bill Policies

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  • Devadoss, Stephen
  • Luckstead, Jeff

Abstract

Abstract We develop a model for a representative risk-averse cotton farmer to analyze the impact of crop insurance policies (RP, YP, STAX, and SCO). The model is calibrated and numerically optimized to quantify the effects of different insurance policy combinations on input use, insurance coverage levels, premiums, and certainty equivalent. When the farmer elects only RP, the optimal coverage rate is 80%. Under RP&STAX, the optimal RP coverage rate is 70% and the STAX coverage rate is 90%. RP&STAX is the optimal policy combination based on certainty equivalents. The RP&SCO combination has the lowest impact of input use.

Suggested Citation

  • Devadoss, Stephen & Luckstead, Jeff, 2018. "Production and Moral Hazard Effects of 2014 Cotton Farm Bill Policies," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266763, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saea18:266763
    DOI: 10.22004/ag.econ.266763
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    1. 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.
    2. Campiche, Jody L., 2014. "Theme Overview: Deciphering Key Provisions of the Agricultural Act of 2014," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 29(2), pages 1-2.
    3. Jerry R. Skees & J. Roy Black & Barry J. Barnett, 1997. "Designing and Rating an Area Yield Crop Insurance Contract," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(2), pages 430-438.
    4. Moschini, Giancarlo & Hennessy, David A., 2001. "Uncertainty, risk aversion, and risk management for agricultural producers," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 1, chapter 2, pages 88-153, Elsevier.
    5. Campiche, Jody, 2013. "Details of the Proposed Stacked Income Protection Plan (STAX) Program for Cotton Producers and Potential Strategies for Extension Education," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 45(3), pages 569-575, August.
    6. Barry J. Barnett & Olivier Mahul, 2007. "Weather Index Insurance for Agriculture and Rural Areas in Lower-Income Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(5), pages 1241-1247.
    7. Vedenov, Dmitry V. & Barnett, Barry J., 2004. "Efficiency of Weather Derivatives as Primary Crop Insurance Instruments," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(3), pages 1-17, December.
    8. Davis, Todd & Anderson, John A. & Smith, Nathan, 2014. "Evaluating the Impact of Proposed Farm Bill Programs with Crop Insurance for Southern Crops," 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas 162409, Southern Agricultural Economics Association.
    9. Campiche, Jody L., 2013. "Analysis of the STAX and SCO Programs for Cotton Producers," 2013 AAEA: Crop Insurance and the Farm Bill Symposium 156826, Agricultural and Applied Economics Association.
    10. Barry K. Goodwin, 2009. "Payment Limitations and Acreage Decisions under Risk Aversion: A Simulation Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(1), pages 19-41.
    11. Campiche, Jody L., 2013. "Details of the Proposed Stacked Income Protection Plan (STAX) Program for Cotton Producers and Potential Strategies for Extension Education," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 45, pages 1-7, August.
    12. Harun Bulut & Keith J. Collins, 2014. "Designing farm supplemental revenue coverage options on top of crop insurance coverage," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 74(3), pages 397-426, August.
    13. Luitel, Kishor P. & Hudson, Darren & Knight, Thomas O., 2015. "Understanding Cotton Producer’s Crop Insurance Choices Under the 2014 Farm Bill," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205438, Agricultural and Applied Economics Association.
    14. Luckstead, Jeff & Devadoss, Stephen, 2016. "Implication of 2014 Farm Policies for Wheat Production," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235362, Agricultural and Applied Economics Association.
    15. Luitel, Kishor & Knight, Thomas & Hudson, Darren, 2015. "Evaluation of Crop Insurance Choices for Cotton Producers under the 2014 Farm Bill," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196882, Southern Agricultural Economics Association.
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    Cited by:

    1. Stephen Devadoss & Jeff Luckstead, 2020. "US–Brazilian cotton policies," The World Economy, Wiley Blackwell, vol. 43(8), pages 2222-2236, August.

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    Keywords

    Agricultural and Food Policy; Risk and Uncertainty;

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