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A Comprehensive Evaluation of USDA Cotton Forecasts AgEcon
Isengildina-Massa, Olga; MacDonald, Stephen; Xie, Ran.
This study evaluates all USDA cotton supply and demand estimates for the United States and China (including unpublished price forecasts) from 1985/86 through 2009/10 for accuracy and efficiency. Results reveal that at every stage of the forecasting cycle forecast smoothing was the most widespread and persistent type of inefficiency observed in most U.S. variables. Correlation with past errors indicated the tendency to repeat past errors in most cases. Tendency to overestimate growth was also found. Bias was uncommon and limited to several cases of overestimation of China’s exports and U.S. price and underestimation of China’s domestic use. While forecasts of China’s imports and endings stocks improved, U.S. price and ending stock forecast errors became...
Tipo: Article Palavras-chave: Cotton; Forecast accuracy; Forecast efficiency; Forecast evaluation; Forecast smoothing; USDA forecasts; Agricultural Finance; Crop Production/Industries.
Ano: 2012 URL: http://purl.umn.edu/122314
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The Value of Plant Disease Early-Warning Systems: A Case Study of USDA's Soybean Rust Coordinated Framework AgEcon
Roberts, Michael J.; Schimmelpfennig, David E.; Ashley, Elizabeth; Livingston, Michael J.; Ash, Mark S.; Vasavada, Utpal.
Early-warning systems for plant diseases are valuable when the systems provide timely forecasts that farmers can use to inform their pest management decisions. To evaluate the value of the systems, this study examines, as a case study, USDA’s coordinated framework for soybean rust surveillance, reporting, prediction, and management, which was developed before the 2005 growing season. The framework’s linchpin is a website that provides real-time, county-level information on the spread of the disease. The study assesses the value of the information tool to farmers and factors that influence that value. The information’s value depends most heavily on farmers’ perceptions of the forecast’s accuracy. The study finds that the framework’s information is valuable...
Tipo: Report Palavras-chave: Soybean rust; Farmers’ perceptions; Forecast accuracy; Updating beliefs; Value of information; Real-time disease location; Plant disease management; Pest management; Risk management; Crop Production/Industries; Risk and Uncertainty.
Ano: 2006 URL: http://purl.umn.edu/7208
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