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Modeling Land Use Decisions with Aggregate Data

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Author Info
Miller, Douglas J.
Plantinga, Andrew J.
Abstract

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.

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Publisher Info
Paper provided by Iowa State University, Department of Economics in its series Staff General Research Papers with number 1487.

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Date of creation: 21 May 1999
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Publication status: Published in American Journal of Agricultural Economics, February 1999, Vol. 81, No. 1, pp. 180-194.
Handle: RePEc:isu:genres:1487

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Postal: Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070
Phone: +1 515.294.6741
Fax: +1 515.294.0221
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Web page: http://www.econ.iastate.edu
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  1. Quirino Paris & Michael Caputo, 2001. "Sensitivity of the GME Estimates to Support Bounds," Department of Agricultural & Resource Economics, UC Davis, Working Paper Series 1019, Department of Agricultural & Resource Economics, UC Davis. [Downloadable!]
  2. Lyubov A. Kurkalova & Sergey Rabotyagov, 2005. "Estimation of a Binary Choice Model with Grouped Choice Data," Center for Agricultural and Rural Development (CARD) Publications 05-wp381, Center for Agricultural and Rural Development (CARD) at Iowa State University. [Downloadable!]
  3. Kurkalova, Lyubov & Rabotyagov, Sergey, 2005. "Estimation of a Binary Choice Model with Grouped Choice Data," Staff General Research Papers 12234, Iowa State University, Department of Economics. [Downloadable!]
  4. R. Carter Hill & Randall C. Campbell, . "Maximum Entropy Estimation in Economic Models with Linear Inequality Restrictions," Departmental Working Papers 2001-11, Department of Economics, Louisiana State University. [Downloadable!]
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