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Modeling Land Use Decisions with Aggregate Data
Douglas J. Miller and Andrew J. Plantinga
American Journal of Agricultural Economics
Vol. 81, No. 1 (Feb., 1999), pp. 180-194
Stable URL: http://www.jstor.org/stable/1244459
Page Count: 15
You can always find the topics here!Topics: Land use, Agricultural land use, Land management, Land economics, Soil erosion, Soybeans, Livestock, Agricultural land, Parametric models, Statistical estimation
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In this article, we develop land use models to study the impact of changes in decision variables on soil erosion or other environmental outcomes. From an underlying behavioral model, we use maximum entropy to recover a parametric model of county-level land use shares as a function of decision variables such as output prices, input costs, and land quality. The statistical model may be extended to estimate subcounty land use shares and to incorporate data from federal land use surveys. We use the procedure to analyze the impact of changes in livestock inventories on soil erosion rates in three Iowa counties.
American Journal of Agricultural Economics © 1999 Agricultural & Applied Economics Association