MODELING YIELD WITH STOCHASTIC TREND AND NONNORMAL ERRORS

Charles Moss and J Shonkwiler

No 271165, 1991 Annual Meeting, August 4-7, Manhattan, Kansas from American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association)

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.

Keywords: Crop Production/Industries; Research Methods/Statistical Methods (search for similar items in EconPapers)
Pages: 15
Date: 1991-08-04
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Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea91:271165

DOI: 10.22004/ag.econ.271165

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