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How Are Crop Yields Distributed?

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Author Info

  • 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.

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File URL: http://purl.umn.edu/19733
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Bibliographic Info

Paper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2002 Annual meeting, July 28-31, Long Beach, CA with number 19733.

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Date of creation: 2002
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Handle: RePEc:ags:aaea02:19733

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Related research

Keywords: Crop Production/Industries;

References

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  1. Norwood, F. Bailey & Ferrier, Peyton Michael & Lusk, Jayson L., 2001. "Model Selection Criteria Using Likelihood Functions And Out-Of-Sample Performance," 2001 Conference, April 23-24, 2001, St. Louis, Missouri 18947, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
  2. Terry L. Kastens & Gary W. Brester, 1996. "Model Selection and Forecasting Ability of Theory-Constrained Food Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 301-312.
  3. Richard E. Just & Quinn Weninger, 1999. "Are Crop Yields Normally Distributed?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(2), pages 287-304.
  4. Norwood, F. Bailey & Schroeder, Ted C., 2000. "Usefulness Of Placement-Weight Data In Forecasting Fed Cattle Marketings And Prices," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 32(01), April.
  5. Barry K. Goodwin & Alan P. Ker, 1998. "Nonparametric Estimation of Crop Yield Distributions: Implications for Rating Group-Risk Crop Insurance Contracts," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 139-153.
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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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