
Contents
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1. An Overview of Modeling Methods 1. An Overview of Modeling Methods
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2. What Is Special About Modeling Land Use? 2. What Is Special About Modeling Land Use?
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3. A Comparison of Approaches 3. A Comparison of Approaches
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3.1 Reduced-Form Econometric Models of Land Use Change 3.1 Reduced-Form Econometric Models of Land Use Change
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3.2 Structural Econometric Models of Land and Housing Markets 3.2 Structural Econometric Models of Land and Housing Markets
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3.3 Other Spatial Simulation Models of Land Use Change 3.3 Other Spatial Simulation Models of Land Use Change
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4. Conclusion 4. Conclusion
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Acknowledgments Acknowledgments
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References References
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13 An Assessment of Empirical Methods for Modeling Land Use
Get accessElena G. Irwin is Professor in the Department of Agricultural, Environmental, and Development Economics at the Ohio State University.
Douglas H. Wrenn is Assistant Professor in the Department of Agricultural Economics, Sociology, and Education at the Pennsylvania State University.
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Published:02 September 2014
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Abstract
This chapter provides a targeted review and assessment of current empirical methods most commonly used in economics to model spatially explicit land use and land use change. Empirical models are broadly defined as those that use data on land use and the underlying demand and supply processes to specify model parameters in some way. Four main types of modeling methods are considered: reduced-form econometric, structural econometric, spatial equilibrium simulation, and agent-based simulation. Key strengths and weaknesses of each method are discussed, and the applicability of each method for answering various research questions, including policy scenarios, is illustrated with a few recent examples from the literature. The chapter concludes with a discussion of potential complementarities among these various approaches and several critical research gaps.
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