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Please use this identifier to cite or link to this item: http://purl.umn.edu/122314

Title: A Comprehensive Evaluation of USDA Cotton Forecasts
Authors: Isengildina-Massa, Olga
MacDonald, Stephen
Xie, Ran
Keywords: cotton
forecast accuracy
forecast efficiency
forecast evaluation
forecast smoothing
USDA forecasts
Issue Date: 2012-04
Abstract: This study evaluates all USDA cotton supply and demand estimates for the United States and China (including unpublished price forecasts) from 1985/86 through 2009/10 for accuracy and efficiency.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 larger toward the end of the study period.
URI: http://purl.umn.edu/122314
Institution/Association: Journal of Agricultural and Resource Economics>Volume 37, Number 1, April 2012
Total Pages: 16
From Page: 98
To Page: 113
Collections:Volume 37, Number 1, April 2012

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