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Evaluation of Crop Insurance Yield Guarantees and Producer Welfare with Upward Trending Yields

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  • Adhikari, Shyam
  • Knight, Thomas O.
  • Belasco, Eric J.

Abstract

Actual Production History (APH) yields play a critical role in determining the coverage offered to producers by the Risk Management Agency’s (RMA) Yield Protection, Revenue Protection, and Revenue Protection-Harvest Price Exclusion crop insurance products. The RMA currently uses the simple average of from 4 to 10 years of historical yields to determine the APH yield guarantee. If crop yields are trending upward, use of a simple average of historical yields introduces bias into the insurance offering. Using both county and individual insured unit data, we examine the producer impact of APH yield trends for Texas cotton and Illinois corn. Our findings indicate that biases due to using simple average APH yields when yields are trending upward reduce the expected indemnity and actuarially fair premium rate. Certainty equivalent differences are computed and used as a measure of the magnitude of welfare effect of trend-based biases in APH yields. The estimated welfare effect also varies significantly with different commonly used detrending approaches. This study demonstrates that producer welfare can be enhanced through proper treatment of yield trends in crop insurance programs.

Suggested Citation

  • Adhikari, Shyam & Knight, Thomas O. & Belasco, Eric J., 2011. "Evaluation of Crop Insurance Yield Guarantees and Producer Welfare with Upward Trending Yields," 2011 Annual Meeting, February 5-8, 2011, Corpus Christi, Texas 98855, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saea11:98855
    DOI: 10.22004/ag.econ.98855
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    Cited by:

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    2. B. W. Mazviona, 2022. "Maize Index Insurance And Management Of Climate Change In A Developing Economy," Strategic decisions and risk management, Real Economy Publishing House, vol. 12(4).
    3. Eric J Belasco & Joseph Cooper & Vincent H Smith, 2020. "The Development of a Weather‐based Crop Disaster Program," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(1), pages 240-258, January.
    4. Adhikari, Shyam & Knight, Thomas O. & Belasco, Eric J., 2013. "Yield Guarantees and the Producer Welfare Benefits of Crop Insurance," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 38(1), pages 1-15, April.
    5. Ashimwe, Olive, 2016. "An Economic Analysis Of Impact Of Weather Index-Based Crop Insurance On Household Income In Huye District Of Rwanda," Research Theses 265675, Collaborative Masters Program in Agricultural and Applied Economics.
    6. Li, Xiaofei & Tack, Jesse B. & Coble, Keith H. & Barnett, Barry J., 2016. "Can Crop Productivity Indices Improve Crop Insurance Rates?," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235750, Agricultural and Applied Economics Association.
    7. Ashimwe, Olive, 2016. "An Economic Analysis Of Impact Of Weather Index-Based Crop Insurance On Household Income In Huye District Of Rwanda," Research Theses 276460, Collaborative Masters Program in Agricultural and Applied Economics.
    8. Ghahremanzadeh, Mohammad & Mohammadrezaei, Rassul & Dashti, Ghader & Ainollahi, Moharram, 2018. "Designing a whole-farm revenue insurance for agricultural crops in Zanjan province of Iran," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 17(02), January.

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