We develop a dynamic data-consistent method to estimate agricultural land use choices at a disaggregate (district) level, using more aggregate (regional-level) data. The disaggregation procedure consists of two steps. First, we estimate a dynamic model of land use at the regional level, then we disaggregate outcomes of the aggregate model using maximum entropy (ME). The ME disaggregation procedure is applied to a sample of California data including six districts and eight crops. The disaggregation procedure results in the recovery of district-level cropping areas with an average prediction error of 16.2 per cent. Copyright 2003, Oxford University Press.
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Article provided by Oxford University Press for the Foundation for the European Review of Agricultural Economics in its journal European Review of Agricultural Economics.
Volume (Year): 30 (2003) Issue (Month): 3 (September) Pages: 359-387 Download reference. The following formats are available: HTML
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