LEADING INDICATORS FOR REGIONAL COTTON RESPONSE: STRUCTURAL AND TIME SERIES MODELING RESULTS
Paul A. Stavriotis,
Jack E. Houston,
Christopher McIntosh and
Steven C. Turner
No 16717, Faculty Series from University of Georgia, Department of Agricultural and Applied Economics
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.
Keywords: Crop; Production/Industries (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:ags:ugeofs:16717
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