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Physical climate changes due to greenhouse gas emissions are well understood. However, quantifying the economic consequences remains a major challenge. Nevertheless, such quantification is crucial for the development of effective climate protection and adaptation strategies. Especially at local...
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be provided by wheat yield forecast systems, supporting the decision-making of farmers, food traders, or policymakers. In … this study, we improved a previously developed statistical wheat yield model to forecast trend-corrected wheat yield in …, NCEP, and CLIMATE respectively. Seasonal climate models can be useful tools to forecast national wheat yield, even shortly …
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panel data estimation technique, called mean observation OLS (MO‐OLS) that allows for spatial and temporal heterogeneity in …
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-time models. We investigate the robustness of Bayesian panel data models to possible misspecification of the prior distribution … general “toolbox” for a wide range of specifications which includes the dynamic space- time panel model with random effects …, with cross-correlated effects à la Chamberlain, for the Hausman-Taylor world and for dynamic panel data models with …
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