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Modeling Texas Dryland Cotton Yields, With Application to Crop Insurance Actuarial Rating

Published online by Cambridge University Press:  26 January 2015

Shu-Ling Chen  and
Mario J. Miranda
Shu-Ling Chen
Affiliation:
Department of Quantitative Finance, National Tsing Hua University, Taiwan
Mario J. Miranda
Affiliation:
Department of Agricultural, Environmental and Development Economics, The Ohio State University, Columbus, OH
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Abstract

Texas dryland upland cotton yields have historically exhibited greater variation and more distributional irregularities than the yields of other crops, raising concerns that conventional parametric distribution models may generate biased or otherwise inaccurate crop insurance premium rate estimates. Here, we formulate and estimate regime-switching models for Texas dryland cotton yields in which the distribution of yield is conditioned on local drought conditions. Our results indicate that drought-conditioned regime-switching models provide a better fit to Texas county-level dryland cotton yields than conventional parametric distribution models. They do not, however, generate significantly different Group Risk Plan crop insurance premium rate estimates.

Keywords

actuarial ratingadverse selectioncottoncrop insurancegroup risk planregime-switchingyield distributionQ10Q14Q18
Type
Articles
Information
Journal of Agricultural and Applied Economics , Volume 40 , Issue 1 , April 2007 , pp. 239 - 252
Copyright
Copyright © Southern Agricultural Economics Association 2008

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