Author:
Houston Jack E.,McIntosh Christopher S.,Stavriotis Paul A.,Turner Steve C.
Abstract
AbstractResurgent 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.
Publisher
Cambridge University Press (CUP)
Subject
Economics and Econometrics,Agricultural and Biological Sciences (miscellaneous)
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Cited by
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