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	Provedor de dados AgEcon (1) Autor Ghosh, Somali (1) Vedenov, Dmitry V. (1) Woodard, Joshua D. (1) Palavra-chave Agricultural Finance (1) Copulas (1) Crop Insurance (1) Cross-Validation (1) Empirical distribution (1) GRIP (1) Indemnities (1) Out-Of-Sample Log-Likelihood (1) Q14 (1) Mais... Tipo do documento Conference Paper or Presentation (1) Ano 2011 (1) País United States (1) Idioma Inglês (1)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 1 Primeira ... 1 ... Última Efficient Estimation of Copula Mixture Model: An Application to the Rating of Crop Revenue Insurance AgEcon Ghosh, Somali; Woodard, Joshua D.; Vedenov, Dmitry V.. The association between prices and yields are of paramount importance to the crop insurance programs. Proper estimation of the association is highly desirable. Copulas are one such method to measure the dependence structure. Five single parametric copulas, a non- parametric copula and their fifteen different combinations taking a mixture of two different copulas at a time have been used in the crop insurance rating analysis. Using data of corn from 1973-2009 for 602 counties in the Mid-West area two different efficient methods have been proposed to generate the optimal mixtures using the cross validation approach. A resampling technique is used to check for the significance of the expected indemnities. Tipo: Conference Paper or Presentation Palavras-chave: Copulas; Crop Insurance; Cross-Validation; Empirical distribution; GRIP; Indemnities; Out-Of-Sample Log-Likelihood; Agricultural Finance; Q14. Ano: 2011 URL: http://purl.umn.edu/103738 Registros recuperados: 1 Primeira ... 1 ... Última

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