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
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.
Keywords: Crop; Production/Industries (search for similar items in EconPapers)
Pages: 16
Date: 1998
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://ageconsearch.umn.edu/record/16717/files/fs9802.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ags:ugeofs:16717
DOI: 10.22004/ag.econ.16717
Access Statistics for this paper
More papers in Faculty Series from University of Georgia, Department of Agricultural and Applied Economics Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().