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Leading Indicators For Regional Cotton Response: Structural And Time Series Modeling Results

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  • Stavriotis, Paul A.
  • Houston, Jack E.
  • McIntosh, Christopher S.
  • Turner, Steven C.

Abstract

Resurging southeastern cotton production compels better cotton acreage forecasts for planning seed, chemical, and other input requirements. Structural models describe leading acreage response indicators, and forecasts are compared time-series models. Cotton price, loan rate, deficiency payments, lagged corn acreage, the PIK program, and previous cotton yield significantly influence response.

Suggested Citation

  • 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.
    • Handle: RePEc:ags:ugeofs:16717
    DOI: 10.22004/ag.econ.16717
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    References listed on IDEAS

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    1. 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.
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    4. Duffy, Patricia A. & Shalishali, Kasazi & Kinnucan, Henry W., 1994. "Acreage Response Under Farm Programs For Major Southeastern Field Crops," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 26(2), pages 1-12, December.
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    6. 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.
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    Cited by:

    1. Liang, Yan & Miller, J. Corey & Harri, Ardian & Coble, Keith H., 2011. "Crop Supply Response under Risk: Impacts of Emerging Issues on Southeastern U.S. Agriculture," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 43(2), pages 181-194, May.

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