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	Provedor de dados AgEcon (1) Autor Babcock, Bruce A. (1) Yu, Tian (1) Palavra-chave Bayesian estimation (1) Crop Production/Industries (1) Gibbs sampler (1) Hierarchical structure (1) Metropolis-Hastings algorithm (1) Non-linear (1) Production Economics (1) Risk and Uncertainty (1) Mais... Tipo do documento Working or Discussion Paper (1) Ano 2011 (1) País United States (1) Idioma Inglês (1)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 1 Primeira ... 1 ... Última Estimating Non-linear Weather Impacts on Corn Yield—A Bayesian Approach AgEcon Yu, Tian; Babcock, Bruce A.. We estimate impacts of rainfall and temperature on corn yields by fitting a linear spline model with endogenous thresholds. Using Gibbs sampling and the Metropolis - Hastings algorithm, we simultaneously estimate the thresholds and other model parameters. A hierarchical structure is applied to capture county-specific factors determining corn yields. Results indicate that impacts of both rainfall and temperature are nonlinear and asymmetric in most states. Yield is concave in both weather variables. Corn yield decreases significantly when temperature increases beyond a certain threshold, and when the amount of rainfall decreases below a certain threshold. Flooding is another source of yield loss in some states. A moderate amount of heat is beneficial to... Tipo: Working or Discussion Paper Palavras-chave: Bayesian estimation; Gibbs sampler; Hierarchical structure; Metropolis-Hastings algorithm; Non-linear; Crop Production/Industries; Production Economics; Risk and Uncertainty. Ano: 2011 URL: http://purl.umn.edu/103915 Registros recuperados: 1 Primeira ... 1 ... Última

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