LEADING INDICATORS OF REGIONAL COTTON ACREAGE RESPONSE: STRUCTURAL AND TIME SERIES MODELING RESULTS

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

Journal of Agricultural and Applied Economics, 1999, vol. 31, issue 3, 11

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

Keywords: Crop; Production/Industries (search for similar items in EconPapers)
Date: 1999
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Citations: View citations in EconPapers (3)

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Journal Article: Leading Indicators of Regional Cotton Acreage Response: Structural and Time Series Modeling Results (1999)
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Persistent link: https://EconPapers.repec.org/RePEc:ags:joaaec:15147

DOI: 10.22004/ag.econ.15147

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