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Leading Indicators of Regional Cotton Acreage Response: Structural and Time Series Modeling Results

Published online by Cambridge University Press:  28 April 2015

Jack E. Houston ,
Christopher S. McIntosh ,
Paul A. Stavriotis  and
Steve C. Turner
Jack E. Houston
Affiliation:
Department of Agricultural and Applied Economics, University of Georgia, Athens, Georgia
Christopher S. McIntosh
Affiliation:
Department of Agricultural Economics and Rural Sociology, University of Idaho
Paul A. Stavriotis
Affiliation:
Department of Agricultural and Applied Economics, University of Georgia, Athens, Georgia
Steve C. Turner
Affiliation:
Department of Agricultural and Applied Economics, University of Georgia, Athens, Georgia
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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

cotton acreageresurgent cotton production
Type
Articles
Information
Journal of Agricultural and Applied Economics , Volume 31 , Issue 3 , December 1999 , pp. 507 - 517
Copyright
Copyright © Southern Agricultural Economics Association 1999

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