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Modeling Yield With Stochastic Trend And Nonnormal Errors
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Modeling Yield With Stochastic Trend And Nonnormal Errors

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  • Moss, Charles B.
  • Shonkwiler, J. S.

Abstract

Recent interest in modeling randomness in crop yields has typically focused on two distinct areas: stochastic trend and non-normality. However, the estimated errors from the stochastic trend model fail a test for normality. Thus, a transformation is used to model the non-normality of errors within the stochastic trend model.

Suggested Citation

  • Moss, Charles B. & Shonkwiler, J. S., 1991. "Modeling Yield With Stochastic Trend And Nonnormal Errors," 1991 Annual Meeting, August 4-7, Manhattan, Kansas 271165, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea91:271165
    DOI: 10.22004/ag.econ.271165
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    References listed on IDEAS

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    3. Ramirez, O. A. & Boggess, W. G. & Moss, C. B., 1990. "An Efficient and Theoretically Consistent Procedure for Generating Correlated, Non-Normal Random Variables in Simulation Models," 1990 Annual meeting, August 5-8, Vancouver, Canada 271052, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Clifton B. Luttrell & R. Alton Gilbert, 1976. "Crop Yields: Random, Cyclical, or Bunchy?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 58(3), pages 521-531.
    5. Taylor, C. Robert, 1984. "A Flexible Method For Empirically Estimating Probability Functions," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 9(1), pages 1-11, July.
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