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

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dc.creatorChen, Shu-Ling
dc.creatorMiranda, Mario J.
dc.date2017-04-01T15:09:34Z
dc.date.accessioned2026-07-09T03:35:23Z
dc.descriptionVery 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.
dc.identifierdoi:10.22004/ag.econ.21392
dc.identifierhttps://ageconsearch.umn.edu/record/21392/files/sp06ch03.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/21392
dc.identifier.urihttp://hdl.handle.net/123456789/535871
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/21392
dc.titleMODELING YIELD DISTRIBUTION IN HIGH RISK COUNTIES: APPLICATION TO TEXAS UPLAND COTTON
dc.typeText

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