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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.
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    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.

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    File URL: http://purl.umn.edu/16717
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    Bibliographic Info

    Paper provided by University of Georgia, Department of Agricultural and Applied Economics in its series Faculty Series with number 16717.

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    Date of creation: 1998
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    Handle: RePEc:ags:ugeofs:16717

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    Phone: (706) 542-2481
    Fax: (706) 542-0739
    Web page: http://www.caes.uga.edu/departments/agecon/index.html
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    Related research

    Keywords: Crop Production/Industries;

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    1. McIntosh, Christopher S. & Shumway, C. Richard, 1994. "Evaluating alternative price expectation models for multiproduct supply analysis," Agricultural Economics, Blackwell, vol. 10(1), pages 1-11, January.
    2. Duffy, Patricia A. & Richardson, James W. & Wohlgenant, Michael K., 1987. "Regional Cotton Acreage Response," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 19(01), July.
    3. Chavas, Jean-Paul & Pope, Rulon D. & Kao, Robert S., 1983. "An Analysis Of The Role Of Futures Prices, Cash Prices And Government Programs In Acreage Response," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 8(01), July.
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