| Registro completo |
| Provedor de dados: |
AgEcon
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| País: |
United States
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| Título: |
MODELING YIELD DISTRIBUTION IN HIGH RISK COUNTIES: APPLICATION TO TEXAS UPLAND COTTON
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| Autores: |
Chen, Shu-Ling
Miranda, Mario J.
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| Data: |
2006-05-19
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| Ano: |
2006
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| Palavras-chave: |
Risk and Uncertainty
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| 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.
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| Tipo: |
Conference Paper or Presentation
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| Idioma: |
Inglês
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| Identificador: |
21431
http://purl.umn.edu/21392
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| Editor: |
AgEcon Search
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| Relação: |
American Agricultural Economics Association>2006 Annual meeting, July 23-26, Long Beach, CA
Selected Paper 156137
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| Formato: |
24
application/pdf
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