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Are Revisions to USDA Crop Production Forecasts Smoothed?

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  • Olga Isengildina
  • Scott H. Irwin
  • Darrel L. Good

Abstract

This article uses Nordhaus' framework to determine the efficiency of the revision process for USDA corn and soybean production forecasts over the 1970/1971 through 2004/2005 marketing years. Positive autocorrelation and consistency of directional changes in forecast revisions suggest these forecasts are “smoothed.” Evidence is provided that the loss in forecast accuracy due to smoothing is statistically and economically significant in several cases. A conservative bias in farm operators' assessments of yield potential and in the procedure for translating enumerator's information about plant fruit counts into objective yield estimates are identified as plausible sources of smoothing. Copyright 2006, Oxford University Press.

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File URL: http://hdl.handle.net/10.1111/j.1467-8276.2006.00918.x
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Bibliographic Info

Article provided by Agricultural and Applied Economics Association in its journal American Journal of Agricultural Economics.

Volume (Year): 88 (2006)
Issue (Month): 4 ()
Pages: 1091-1104

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Handle: RePEc:oup:ajagec:v:88:y:2006:i:4:p:1091-1104

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Cited by:
  1. Michael McAleer & Philip Hans Franses & Chia-Lin Chang, 2011. "Analyzing Fixed-event Forecast Revisions," KIER Working Papers 779, Kyoto University, Institute of Economic Research.
  2. Botto, Augusto C. & Isengildina, Olga & Irwin, Scott H. & Good, Darrel L., 2006. "Accuracy Trends and Sources of Forecast Errors in WASDE Balance Sheet Categories for Corn and Soybeans," 2006 Annual meeting, July 23-26, Long Beach, CA 21332, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  3. Isengildina-Massa, Olga & Irwin, Scott H. & Good, Darrel L., 2007. "Do Big Crops Get Bigger and Small Crops Get Smaller? Further Evidence on Smoothing in USDA Crop Production Forecasts," 2007 Conference, April 16-17, 2007, Chicago, Illinois 37563, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
  4. Isengildina, Olga & Irwin, Scott H. & Good, Darrel L., 2004. "Does The Market Anticipate Smoothing In Usda Crop Production Forecasts?," 2004 Annual meeting, August 1-4, Denver, CO 20145, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  5. Taylor, Christopher W., 2012. "Market Reactions to USDA Reports: State Analysis of Corn Price Response," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124661, Agricultural and Applied Economics Association.
  6. 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.
  7. Good, Darrel L. & Irwin, Scott H., 2005. "Understanding USDA Corn and Soybean Production Forecasts: Methods, Performance and Market Impacts over 1970 - 2004," AgMAS Project Research Reports 14785, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.
  8. 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.
  9. Good, Darrel L. & Irwin, Scott H., 2003. "Understanding USDA Corn and Soybean Production Forecasts: An Overview of Methods, Performance and Market Impacts," AgMAS Project Research Reports 37496, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.
  10. Aulerich, Nicole M. & Irwin, Scott H. & Nelson, Carl H., 2007. "The Impact of Measurement Error on Estimates of the Price Reaction to USDA Crop Reports," 2007 Conference, April 16-17, 2007, Chicago, Illinois 37579, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.

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