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	Provedor de dados AgEcon (3) Autor Babcock, Bruce A. (3) Yu, Tian (3) Palavra-chave Crop Production/Industries (2) Risk and Uncertainty (2) Yield risk (2) Agricultural Finance (1) Bayesian estimation (1) Corn (1) Corn yield (1) Crop insurance rates (1) Distribution (1) Drought tolerance (1) Gibbs sampler (1) Hierarchical structure (1) Metropolis-Hastings algorithm (1) Non-linear (1) Production Economics (1) Productivity Analysis (1) Soybean (1) Trend (1) Mais... Tipo do documento Working or Discussion Paper (2) Conference Paper or Presentation (1) Ano 2011 (1) 2010 (1) 2009 (1) País United States (3) Idioma Inglês (3)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 3 Primeira ... 1 ... Última Weather Effects on Trend, Variance and Distribution of Crop Yield AgEcon Yu, Tian; Babcock, Bruce A.. Favorable weather conditions for dryland crop production, including a proper amount of heat and rainfall during the growing season, are critical factors determining yield outcomes. Weather conditions however, are randomly distributed across regions and over time, thus influencing the temporal and geographical patterns of measured crop yield. Failure to account for weather factors when estimating crop yield distributions, time trends or productivity gains can lead to spurious conclusions regarding technology improvement, yield risk and skewness of yield. This paper addresses some limitations in the literature that result from not taking into account weather, and proposes an approach to incorporate weather into modeling yield. Tipo: Conference Paper or Presentation Palavras-chave: Corn yield; Distribution; Trend; Yield risk; Agricultural Finance. Ano: 2010 URL: http://purl.umn.edu/60908 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 Are U.S. Corn and Soybeans Becoming More Drought Tolerant? AgEcon Yu, Tian; Babcock, Bruce A.. An objective drought index that measures the dry and hot conditions adversely affecting crop yields is used in a regression analysis to test whether corn and soybeans have become more drought tolerant. Results indicate that corn yield losses, whether measured in quantity terms or as a percentage of mean yield, have decreased. The null hypothesis that the absolute level of soybean yield losses due to drought has not changed cannot be rejected. But yield losses in percentage terms have decreased over time. Because drought is the primary cause of yield loss in the U.S. crop insurance program and because U.S. crop insurance rates assume that percentage of yield losses are constant over time, these results indicate that U.S. crop insurance rates in the Corn... Tipo: Working or Discussion Paper Palavras-chave: Corn; Crop insurance rates; Drought tolerance; Soybean; Yield risk; Crop Production/Industries; Productivity Analysis; Risk and Uncertainty. Ano: 2009 URL: http://purl.umn.edu/54147 Registros recuperados: 3 Primeira ... 1 ... Última

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