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Provedor de dados:  AgEcon
País:  United States
Título:  Estimating Farm Level Multivariate Yield Distribution Using Nonparametric Methods
Autores:  Zheng, Qiujie
Wang, H. Holly
Shi, Qinghua
Data:  2008-05-05
Ano:  2008
Palavras-chave:  Yield distribution
Multi-variate nonparametric
Farm Management
Risk and Uncertainty
Resumo:  Modeling crop yield distributions has been an important topic in agricultural production and risk analysis, and nonparametric methods have gained attention for their flexibility in describing the shapes of yield density functions. In this article, we apply a nonparametric method to model joint yield distributions based on farm-level data for multiple crops, and also provide a way of simulation for univariate and bivariate distributions. The results show that the nonparametric models, both univariate and bivariate, are estimated quite well compared to the original samples, and the simulated empirical distributions also preserve the attributes of the original samples at a reasonable level. This article provides a feasible way of using multivariate nonparametric methods in further risk and insurance analysis.
Tipo:  Conference Paper or Presentation
Idioma:  Inglês
Identificador:  29903
Relação:  American Agricultural Economics Association>2008 Annual Meeting, July 27-29, 2008, Orlando, Florida
Selected Paper
Formato:  31

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