MODELING YIELD DISTRIBUTION IN HIGH RISK COUNTIES: APPLICATION TO TEXAS UPLAND COTTON

Very little attention has been given to the modeling of yield distribution for crops and regions in which yields exhibit irregular behavior. We undertake a statistical case study of Texas upland cotton and propose an alternative mixture distribution based on regime-switching model in which the conditional distribution of yield depends upon an observable drought index. The results show that the mixture distribution model provides a better fit to the data than conventional parametric distributions and produces higher implied premium rates than the current published Group Risk Plan insurance rates in more than two-thirds of Texas counties examined.


Issue Date:
2006
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/21392
Total Pages:
24
Series Statement:
Selected Paper 156137




 Record created 2017-04-01, last modified 2017-04-26

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