The Effectiveness of Listing Under the U.S. Endangered Species Act: An Econometric Analysis Using Matching Methods

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dc.citation.epage261
dc.citation.issue3
dc.citation.journalTitleJournal of Environmental Economics and Managementeng
dc.citation.spage245
dc.citation.volume54
dc.contributor.affiliationDepartment of Economics, Andrew Young School of Policy Studies, Georgia State Universityspa
dc.contributor.affiliationSchool of International Relations and Pacific Studies, University of California-San Diego, San Diegospa
dc.contributor.affiliationDepartment of Economics, Andrew Young School of Policy Studies, Georgia State University, Escuela de Economía y Finanzas, Departamento de Economía, Universidad EAFIT, Medellín, Colombia.spa
dc.contributor.authorFerraroa, Paul J.spa
dc.contributor.authorMcIntoshb, Craigspa
dc.contributor.authorOspina, Monica.spa
dc.contributor.departmentEscuela de Economía y Finanzasspa
dc.contributor.departmentEconomíaspa
dc.contributor.programEstudios en Economía y Empresaspa
dc.date2007
dc.date.accessioned2015-11-06T16:38:26Z
dc.date.available2015-11-06T16:38:26Z
dc.date.issued2007
dc.description.abstractDiametrically opposed views of the effectiveness of the United States Endangered Species Act (ESA) co-exist more than 30 years after the Act's creation. The evidence marshaled to date for and against the ESA suffers from a problem common in analyses of biodiversity protection measures: the absence of a well-chosen control group. We demonstrate how matching methods can be used to select such a control group and thereby estimate how species listed under the ESA would have fared had they not been listed. Our results show that listing a species under the ESA is, on average, detrimental to species recovery if not combined with substantial government funds. In contrast, listed species with such funding tend to improve. Our analysis offers not only new insights into a controversial debate, but also a methodology to guide conservation scientists in evaluating the effectiveness of society's responses to biodiversity losseng
dc.identifier.doidoi:10.1016/j.jeem.2007.01.002
dc.identifier.issn0095-0696
dc.identifier.urihttp://hdl.handle.net/10784/7589
dc.language.isospaeng
dc.publisherElseviereng
dc.relation.ispartofJournal of Environmental Economics and Management. Vol.54(3), 2007, pp.245-261spa
dc.relation.isversionofhttp://www.sciencedirect.com/science/article/pii/S0095069607000629
dc.relation.urihttp://www.sciencedirect.com/science/article/pii/S0095069607000629
dc.rightsrestrictedAccesseng
dc.rightsCopyright © 2007 Elsevier Inc. All rights reserved.spa
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccesseng
dc.rights.localAcceso restringidospa
dc.sourceJournal of Environmental Economics and Management. Vol.54(3), 2007, pp.245-261spa
dc.subject.keywordEndangered Species Acteng
dc.subject.keywordBiodiversityeng
dc.subject.keywordProgram evaluationeng
dc.subject.keywordMatching methodseng
dc.titleThe Effectiveness of Listing Under the U.S. Endangered Species Act: An Econometric Analysis Using Matching Methodsspa
dc.typearticleeng
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.type.hasVersionObra publicadaspa
dc.type.localArtículospa

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