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Provedor de dados:  AgEcon
País:  United States
Título:  MODELING YIELD DISTRIBUTION IN HIGH RISK COUNTIES: APPLICATION TO TEXAS UPLAND COTTON
Autores:  Chen, Shu-Ling
Miranda, Mario J.
Data:  2006-05-19
Ano:  2006
Palavras-chave:  Risk and Uncertainty
Resumo:  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.
Tipo:  Conference Paper or Presentation
Idioma:  Inglês
Identificador:  21431

http://purl.umn.edu/21392
Editor:  AgEcon Search
Relação:  American Agricultural Economics Association>2006 Annual meeting, July 23-26, Long Beach, CA
Selected Paper 156137
Formato:  24

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