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Producer Supply Response for Area Planted of Seven Major U.S. Crops

Author

Listed:
  • Williams, Brian R.
  • Pounds-Barnett, Gayle

Abstract

The U.S. Department of Agriculture’s (USDA) Agricultural Baseline provides a 10-year outlook for seven major U.S. crops (corn, soybeans, wheat, sorghum, barley, oats, and cotton). The baseline plays an important role in predicting farm program expenditures in the President’s annual budget proposal. To provide the best possible projections, it is necessary to frequently revisit the underlying models behind the baseline to ensure that they are theoretically consistent and produce realistic projections. This study examined the performance of the existing area planted equations for seven major U.S. crops in the baseline model relative to observed historical area planted values. It subsequently estimates a system of equations for the crops to produce price consistent supply (i.e., higher price increases the supply of the crop associated with higher prices but decreases other crop supplies). Projections created from the resulting price and net return elasticities are shown to be an improvement over the existing U.S. base line equations.

Suggested Citation

  • Williams, Brian R. & Pounds-Barnett, Gayle, 2023. "Producer Supply Response for Area Planted of Seven Major U.S. Crops," Economic Research Report 340567, United States Department of Agriculture, Economic Research Service.
    • Handle: RePEc:ags:uersrr:340567
    DOI: 10.22004/ag.econ.340567
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    References listed on IDEAS

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    1. Irwin, Scott & Good, Darrel, . "Long-Term Corn, Soybeans, and Wheat Price Forecasts and the Farm Bill Program Choice," farmdoc daily, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics, vol. 5.
    2. 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.
    3. Jean-Paul Chavas & Matthew T. Holt, 1990. "Acreage Decisions Under Risk: The Case of Corn and Soybeans," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(3), pages 529-538.
    4. 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), pages 1-17, April.
    5. William Lin & Robert Dismukes, 2007. "Supply Response under Risk: Implications for Counter-Cyclical Payments' Production Impact," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 29(1), pages 64-86.
    6. Scott H. Irwin & Darrel L. Good, 2004. "Evaluation of USDA Interval Forecasts of Corn and Soybean Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 990-1004.
    7. Torre Ugarte, Daniel de la & Sanford, Scott & Skinner, Robert A. & Westcott, Paul C. & Lin, William W., 2000. "Supply Response Under The 1996 Farm Act And Implications For The U.S. Field Crops Sector," Technical Bulletins 33568, United States Department of Agriculture, Economic Research Service.
    8. Barten, Anton P. & Vanloot, Chris, 1996. "Price dynamics in agriculture: An exercise in historical econometrics," Economic Modelling, Elsevier, vol. 13(3), pages 315-331, July.
    9. Huang, Haixiao & Khanna, Madhu, "undated". "An Econometric Analysis of U.S. Crop Yield and Cropland Acreage: Implications for the Impact of Climate Change," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61527, Agricultural and Applied Economics Association.
    10. Marc Nerlove, 1956. "Estimates of the Elasticities of Supply of Selected Agricultural Commodities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 38(2), pages 496-509.
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