Modelling soybean prices in a changing policy environment
Abstract
Accurate forecasts of commodity prices are an important ingredient in the policy formation process. A commodity price forecasting procedure used routinely by the US Department of Agriculture in their policy and market analysis activities is a simple, linear, reduced-form regression model that predicts season-average farm prices (SAFP) using policy variables and the ratio of total ending stocks to use. This approach is extended to the soybean SAFP to estimate a benchmark model using annual data. Also several specification issues related to this estimation framework are addressed. Evaluation suggests that the standard forecasting procedure may be affected by the fact that the ratio of stocks to use is endogenous to prices. In addition, important structural changes are revealed in these relationships over time. A model is then considered that allows parameters to shift gradually. Improvements in the accuracy of model forecasts allowed by this parameter switching technique are identified and discussed. In addition, the exact nature of the structural shifts is evaluated using dynamic impulse response functions.Download Info
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Bibliographic Info
Article provided by Taylor and Francis Journals in its journal Applied Economics.
Volume (Year): 37 (2005)
Issue (Month): 3 ()
Pages: 253-263
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Handle: RePEc:taf:applec:v:37:y:2005:i:3:p:253-263
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For corrections or technical questions regarding this item, or to correct its listing, contact: (Michael McNulty).
Related research
Keywords:Other versions of this item:
- Goodwin, Barry K. & Schnepf, Randall D. & Dohlman, Erik, 2001. "Modeling Soybean Prices in a Changing Policy Environment," 2001 Conference, April 23-24, 2001, St. Louis, Missouri 18946, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
References
References listed on IDEASPlease report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Westcott, Paul C. & Price, J. Michael, 2001. "Analysis Of The U.S. Commodity Loan Program With Marketing Loan Provisions," Agricultural Economics Reports 34035, United States Department of Agriculture, Economic Research Service.
- Donald W.K. Andrews, 1990.
"Tests for Parameter Instability and Structural Change with Unknown Change Point,"
Cowles Foundation Discussion Papers
943, Cowles Foundation for Research in Economics, Yale University.
- Andrews, Donald W K, 1993. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Econometrica, Econometric Society, vol. 61(4), pages 821-56, July.
- Tsurumi, Hiroki & Wago, Hajime & Ilmakunnas, Pekka, 1986. "Gradual switching multivariate regression models with stochastic cross-equational constraints and an application to the Klem translog production model," Journal of Econometrics, Elsevier, vol. 31(3), pages 235-253, April.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Isengildina-Massa, Olga & MacDonald, Stephen, 2009.
"U.S. Cotton Prices and the World Cotton Market; Forecasting and Structural Change,"
Economic Research Report
55950, United States Department of Agriculture, Economic Research Service.
- 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.
- No, Sung Chul & Salassi, Michael E., 2006. "Dynamic Analysis and Forecasts of Rough Rice Price under Government Price Support Program: An Application of Bayesian VAR," 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida 35279, Southern Agricultural Economics Association.
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