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How Are Crop Yields Distributed?

Author

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  • Norwood, F. Bailey
  • Roberts, Matthew C.
  • Lusk, Jayson L.

Abstract

Six popular crop yield distributions are compared to determine which best describes yield fluctuations out-of-sample. For 183 crop and county combinations, each distribution is estimated and ranked according to its log-likelihood function observed at out-of-sample observations. A semiparametric model dominates the contest for most crops and counties, likely due to its flexibility and treatment of heteroskedasticity. Most other models ranked lower because their variance equation performed poorly out-of-sample.

Suggested Citation

  • Norwood, F. Bailey & Roberts, Matthew C. & Lusk, Jayson L., 2002. "How Are Crop Yields Distributed?," 2002 Annual meeting, July 28-31, Long Beach, CA 19733, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea02:19733
    DOI: 10.22004/ag.econ.19733
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    File URL: https://ageconsearch.umn.edu/record/19733/files/sp02no02.pdf
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    References listed on IDEAS

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    Cited by:

    1. Lusk, Jayson L. & Norwood, F. Bailey & Brorsen, B. Wade, 2004. "Forecasting Limited Dependent Variables: Better Statistics For Better Steaks," 2004 Annual Meeting, February 14-18, 2004, Tulsa, Oklahoma 34612, Southern Agricultural Economics Association.

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    Keywords

    Crop Production/Industries;

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