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Published online by Cambridge University Press: 10 May 2017
A disaggregated econometric model of the agricultural sector at the state level is constructed. Using time series data on West Virginia agriculture and three-stage least squares in estimation, the model is employed to examine how various components of the state's agricultural sector adjust to changes in certain price and nonprice variables. Results reveal characteristics of the state's agricultural economy that are both unique and useful—characteristics that are usually masked in aggregate models but that have profound implications for modeling producer decision making and policy formulation.
This research was conducted while Olugbenga Onafowora was a graduate research assistant at West Virginia University. Senior authorship is not assigned.
The input of Anwarul Hoque during the initial stages of this study and the comments of the anonymous referees on an earlier draft of this paper are gratefully acknowledged. The authors are solely responsible for its contents.
Published with the approval of the director of the West Virginia Agricultural and Forestry Experiment Station as Scientific Article no. 2223. This research was supported with funds appropriated under the Hatch and McIntire-Stennis Acts.