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The Effect Of Government Programs On Acreage Response Over Time: The Case Of Corn Production In Iowa

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  • McIntosh, Christopher S.
  • Shideed, Kamil H.

Abstract

Corn acreage response in Iowa is examined using a time-varying parameter regression model. Separate estimates of the permanent portion of the parameter vector are obtained for each year over the period 1957-82. The estimated elasticities are grouped into "program" and "nonprogram" periods. The results indicate corn acreage response is more own-price elastics, and the elasticity is less variable under government acreage control programs than under a "nonprogram" regime. The assumption of parameter constancy is shown to be inappropriate for modeling Iowa corn acreage response over time.

Suggested Citation

  • McIntosh, Christopher S. & Shideed, Kamil H., 1989. "The Effect Of Government Programs On Acreage Response Over Time: The Case Of Corn Production In Iowa," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 14(1), pages 1-7, July.
    • Handle: RePEc:ags:wjagec:32462
    DOI: 10.22004/ag.econ.32462
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    References listed on IDEAS

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    Cited by:

    1. Carey, Kathleen, 1992. "The U.S. Wheat And Corn Programs: Some Domestic Welfare And International Trade Implications," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 24(1), pages 1-8, July.
    2. Chembezi, Duncan M. & Womack, Abner W., 1992. "Regional Acreage Response For U.S. Corn And Wheat: The Effects Of Government Programs," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 24(1), pages 1-12, July.
    3. Vedenov, Dmitry V., 2003. ""Irrational" Planting Behavior As Rational Expectations Of Government Support," 2003 Annual Meeting, February 1-5, 2003, Mobile, Alabama 35237, Southern Agricultural Economics Association.
    4. Parrott, Scott D. & McIntosh, Christopher S., 1996. "Nonconstant Price Expectations and Acreage Response: The Case of Cotton Production in Georgia," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 28(1), pages 203-210, July.
    5. Jolejole, Christina B. & Swinton, Scott M. & Lupi, Frank, 2009. "Incentives to Supply Enhanced Ecosystem Services from Cropland," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49356, Agricultural and Applied Economics Association.
    6. Ramsey, Steven M. & Bergtold, Jason S. & Heier Stamm, Jessica, 2018. "An Artificial Neural Network Approach to Acreage-Share Modeling," 2018 Annual Meeting, August 5-7, Washington, D.C. 274395, Agricultural and Applied Economics Association.
    7. Coyle, Barry T., 1993. "On Modeling Systems Of Crop Acreage Demands," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 18(1), pages 1-13, July.
    8. Hardie, Ian & Parks, Peter, 1990. "Aggregation of Profit-Maximizing Land Use Decisions for the Analysis of New Land Use Policies," Working Papers 197742, University of Maryland, Department of Agricultural and Resource Economics.
    9. Hyunseok Kim & GianCarlo Moschini, 2018. "The Dynamics of Supply: U.S. Corn and Soybeans in the Biofuel Era," Land Economics, University of Wisconsin Press, vol. 94(4), pages 593-613.
    10. O'Donoghue, Erik J. & Whitaker, James B., 2006. "How distorting are direct payments?," 2006 Annual meeting, July 23-26, Long Beach, CA 21247, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Stavriotis, Paul A. & Houston, Jack E. & McIntosh, Christopher S. & Turner, Steven C., 1998. "Leading Indicators For Regional Cotton Response: Structural And Time Series Modeling Results," Faculty Series 16717, University of Georgia, Department of Agricultural and Applied Economics.

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