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Assessing the Robustness of Predictions in Spatially Explicit Models of Land Use

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Author Info
de Pinto, Alessandro Alex
Nelson, Gerald C.

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Abstract

We propose an information-theoretic approach to assess the performance of a discrete choice model used to analyze land use and land use change. We show that our disaggregated measure can be used to compare robustness of predictions across land use categories and across models. Furthermore, a proper reformulation of the problem shows that a disaggregated (observation by observation) log-likelihood lends itself to an information theoretic interpretation, which allows comparisons performance across models.

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File URL: http://purl.umn.edu/21307
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Publisher Info
Paper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2006 Annual meeting, July 23-26, Long Beach, CA with number 21307.

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Date of creation: 2006
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Handle: RePEc:ags:aaea06:21307

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Related research
Keywords: Land Economics/Use;

References listed on IDEAS
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  1. John R. Hauser, 1977. "Testing the Accuracy," Discussion Papers 286, Northwestern University, Center for Mathematical Studies in Economics and Management Science. [Downloadable!]
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  1. de Pinto, Alessandro & Nelson, Gerald C., 2006. "Modeling Deforestation and Land Use Change: Sparse Data Environments," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25723, International Association of Agricultural Economists. [Downloadable!]
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