The Impact of Measurement Error on Estimates of the Price Reaction to USDA Crop Reports
This paper investigates the impact of USDA crop production reports in corn and soybean futures markets. The analysis is based on all corn and soybean production reports released over 1970-2006. The empirical analysis compares the typical OLS event study approach to the new Identification by Censoring (ITC) technique. Corn and soybean production reports are analyzed both separately and together for impact in corn and soybean futures prices. ITC proves to be the more useful method because it avoids the pitfalls of errors in variables that cause downward bias in OLS coefficients. Price reaction coefficients estimated via ITC are one to four times larger than OLS estimates for a one price and one event analysis. In the two price, two event case, ITC estimates are one to six times larger. Market reaction to the unanticipated information in USDA forecasts is substantially larger than estimated in previous studies.
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- Good, Darrel L. & Irwin, Scott H., 2006. "Understanding USDA Corn and Soybean Production Forecasts: Methods, Performance and Market Impacts over 1970 - 2005," AgMAS Project Research Reports 37514, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.
- Olga Isengildina & Scott H. Irwin & Darrel L. Good, 2006.
"Are Revisions to USDA Crop Production Forecasts Smoothed?,"
American Journal of Agricultural Economics,
Agricultural and Applied Economics Association, vol. 88(4), pages 1091-1104.
- Isengildina, Olga & Irwin, Scott H. & Good, Darrel L., 2004. "Are Revisions To Usda Crop Production Forecasts Smoothed?," 2004 Conference, April 19-20, 2004, St. Louis, Missouri 19027, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
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- Egelkraut, Thorsten M. & Garcia, Philip & Irwin, Scott H. & Good, Darrel L., 2003. "An Evaluation of Crop Forecast Accuracy for Corn and Soybeans: USDA and Private Information Agencies," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 35(01), April.
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