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U.S. Cotton Prices and the World Cotton Market: Forecasting and Structural Change

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  • Isengildina-Massa, Olga
  • MacDonald, Stephen

Abstract

The purpose of this study was to analyze structural changes that took place in the cotton industry in recent years and develop a statistical model that reflects the current drivers of U.S. cotton prices. Legislative changes authorized the U.S. Department of Agriculture to resume publishing cotton price forecasts for the first time in 79 years. In addition, systematic problems have become apparent in the forecasting models used by USDA and elsewhere, highlighting the need for an updated review of price relationships. This study concluded that a structural break in the U.S. cotton industry occurred in 1999, and that world cotton supply has become an important determinant of U.S. cotton prices. China’s trade and production policy also continues to be an important factor in price determination. The model developed here forecasts changes in the U.S. upland cotton farm price based on changes in U.S. cotton supply, changes in U.S. stocks-to-use ratio (S/U), changes in China’s net imports as a share of world consumption, selected farm policy parameters, and changes in the foreign supply of cotton.

Suggested Citation

  • Isengildina-Massa, Olga & MacDonald, Stephen, 2009. "U.S. Cotton Prices and the World Cotton Market: Forecasting and Structural Change," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49324, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea09:49324
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    References listed on IDEAS

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    1. Hansen, Bruce E, 1997. "Approximate Asymptotic P Values for Structural-Change Tests," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(1), pages 60-67, January.
    2. Diron, Marie, 2006. "Short-term forecasts of euro area real GDP growth: an assessment of real-time performance based on vintage data," Working Paper Series 622, European Central Bank.
    3. MacDonald, Stephen, 2006. "Cotton Price Forecasting and Structural Change," MPRA Paper 70910, University Library of Munich, Germany.
    4. Barry Goodwin & Randy Schnepf & Erik Dohlman, 2005. "Modelling soybean prices in a changing policy environment," Applied Economics, Taylor & Francis Journals, vol. 37(3), pages 253-263.
    5. Olmstead, Alan L. & Rhode, Paul W., 2003. "Hog-Round Marketing, Seed Quality, and Government Policy: Institutional Change in U.S. Cotton Production, 1920 1960," The Journal of Economic History, Cambridge University Press, vol. 63(02), pages 447-488, June.
    6. Marie Diron, 2008. "Short-term forecasts of euro area real GDP growth: an assessment of real-time performance based on vintage data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(5), pages 371-390.
    7. Adusei Jumah & Robert M. Kunst, 2008. "Seasonal prediction of European cereal prices: good forecasts using bad models?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(5), pages 391-406.
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    Cited by:

    1. Nazif Durmaz, 2014. "Inventories of Asian Textile Producers, US Cotton Exports, and the Exchange Rate," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 61(4), pages 397-413, September.
    2. Yuanlong Ge & Holly H. Wang & Sung K. Ahn, 2010. "Cotton market integration and the impact of China's new exchange rate regime," Agricultural Economics, International Association of Agricultural Economists, vol. 41(5), pages 443-451, September.
    3. repec:ags:jrapmc:122314 is not listed on IDEAS
    4. Isengildina-Massa, Olga & MacDonald, Stephen & Xie, Ran, 2012. "A Comprehensive Evaluation of USDA Cotton Forecasts," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 37(1), April.
    5. MacDonald, Stephen & Meyer, Leslie, 2009. "Trends in U.S. Cotton Basis Since 2001," MPRA Paper 70909, University Library of Munich, Germany.

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    Keywords

    forecasting; cotton; price; demand; trade; structural change; farm programs.; Demand and Price Analysis; Q100; Q110; Q130;

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