Data/hora: 02/06/2024 01:31:15

Provedor de dados: | 31
País: | United States
Título: | Efficient Estimation of Copula Mixture Model: An Application to the Rating of Crop Revenue Insurance
Autores: | Ghosh,   Somali; Woodard,   Joshua D.; Vedenov,   Dmitry V.
Data: | 2011-05-03
Ano: | 2011
Palavras-chave: | Copulas; Crop Insurance; Cross-Validation; Empirical distribution; GRIP; Indemnities; Out-Of-Sample Log-Likelihood; Agricultural Finance; Q14.
Resumo: | 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
Idioma: | Inglês
Identificador: | http://purl.umn.edu/103738

Relação:

Agricultural and Applied Economics Association&gt;2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania

Selected Paper

13559

Formato: | 24