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A Comprehensive Evaluation of USDA Cotton Forecasts

Author

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  • Isengildina-Massa, Olga Isengildina-
  • MacDonald, Stephen
  • Xie, Ran

Abstract

This study provides a comprehensive examination of accuracy and efficiency of all USDA cotton supply and demand estimates for the U.S. (including unpublished price forecasts), China and rest of the world (ROW) over1985/86 through 2009/10. Our findings show that USDA overestimated China’s exports and underestimated China’s domestic use and ROW imports. Based on correlation of forecast errors with levels, estimates of U.S. domestic use, ending stocks and China’s exports were too extreme while forecasts of China’s ending stocks and ROW production and exports were too conservative. Correlations with past errors suggest that USDA tends to repeat errors in ROW production forecasts and overcorrect errors in ROW exports forecasts. Significant positive correlation between subsequent revisions indicating forecast “smoothing” was detected in the U.S. production, domestic use, exports and ending stocks forecasts, China’s imports, domestic use and exports forecasts and the ROW production and domestic use forecasts. While China’s ending stocks and production forecasts significantly improved over time, (unpublished) U.S. price forecasts became worse. Based on correlations of errors we conclude that better forecasts of U.S. ending stocks and domestic use forecasts, China’s imports and ROW ending stocks and exports forecasts are essential for improving U.S. cotton price forecasts.

Suggested Citation

  • Isengildina-Massa, Olga Isengildina- & MacDonald, Stephen & Xie, Ran, 2011. "A Comprehensive Evaluation of USDA Cotton Forecasts," 2011 Conference, April 18-19, 2011, St. Louis, Missouri 285353, NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
  • Handle: RePEc:ags:nccc11:285353
    DOI: 10.22004/ag.econ.285353
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    2. Bahram Sanginabadi, 2018. "USDA Forecasts: A meta-analysis study," Papers 1801.06575, arXiv.org.
    3. McWilliams, William N. & Isengildina Massa, Olga & Stewart, Shamar L., 2024. "Annual Food Price Inflation Forecasting: A Macroeconomic Random Forest Approach," 2024 Annual Meeting, July 28-30, New Orleans, LA 343923, Agricultural and Applied Economics Association.
    4. Xiong, Tao & Ma, Zhenfeng & Schulz, Lee & He, Xinyue & Hayes, Dermot & Zhang, Wendong, 2026. "Tracking the hog and pig inventory in real-time using nowcasting," Food Policy, Elsevier, vol. 140(C).
    5. MacDonald, Stephen & Isengildina-Massa, Olga, 2012. "Information Rigidity and Correcting Inefficiency in USDA’s Commodity Forecasts," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124890, Agricultural and Applied Economics Association.
    6. repec:ags:aaea22:343923 is not listed on IDEAS
    7. Qingjie Zhou & Panpan Zhu & You Wu & Yinpeng Zhang, 2022. "Research on the Volatility of the Cotton Market under Different Term Structures: Perspective from Investor Attention," Sustainability, MDPI, vol. 14(21), pages 1-20, November.
    8. Kexin Ding & Ani L. Katchova, 2024. "Testing the optimality of USDA's WASDE forecasts under unknown loss," Agribusiness, John Wiley & Sons, Ltd., vol. 40(4), pages 846-865, October.

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