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MODELING NONNORHALITY IN MULTIVARIATE DISTRIBUTIONS USING AN INVERSE HYPERBOLIC SINE TRANSFORMATION TO NORMALITY

Charles Moss (), Octavio Ramirez and William G. Boggess

No 271548, 1991 Quantifying Long Run Agricultural Risks and Evaluating Farmer Responses to Risk Meeting, March 17-20, 1991, San Antonio, Texas from Regional Research Projects > S-232: Quantifying Long Run Agricultural Risks and Evaluating Farmer Responses to Risk

Abstract: During the past twenty years there has been a growing recognition of the consequences of the randomness of crop yields and prices for farm management and agricultural policy decisions. Concomitantly, the literature has recognized the possibility of nonnormality of yields and prices. This study demonstrates one approach to modeling nonnormality in crop yields over time. Specifically, this study estimates an inverse hyperbolic sine transformation of crop yields in the southeastern United States.

Keywords: Agricultural and Food Policy; Research Methods/ Statistical Methods (search for similar items in EconPapers)
Pages: 24
Date: 1991-03
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Persistent link: https://EconPapers.repec.org/RePEc:ags:rrsr91:271548

DOI: 10.22004/ag.econ.271548

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