Recent Advances in Empirical Land-Use Modeling
Andrew J. Plantinga ()
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Andrew J. Plantinga: Bren School of Environmental Science and Management, University of California, Santa Barbara, California 93117, USA
Annual Review of Resource Economics, 2021, vol. 13, issue 1, 1-15
Abstract:
Data sets providing repeated observations of land use at fine spatial scales have enabled a new generation of land-use studies. In the past decade, these analyses have put increasing emphasis on empirical research designs that provide more convincing causal estimates. I review the use of instrumental variables, matching, difference-in-differences, regression discontinuity design, and randomized controlled trials in the recent land-use economics literature, exploring how new data have made possible the use of these research designs. I show that these estimators have produced different results than were obtained with traditional approaches and have provided new insights into important land-use policy issues such as additionality and spillover effects.
Keywords: land use; economics; policy; empirical research design; spatial data; satellite imagery (search for similar items in EconPapers)
JEL-codes: Q15 Q24 (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:anr:reseco:v:13:y:2021:p:1-15
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DOI: 10.1146/annurev-resource-100620-045839
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