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dc.creatorHalkos, G. E.en
dc.creatorTsionas, E. G.en
dc.date.accessioned2015-11-23T10:29:44Z
dc.date.available2015-11-23T10:29:44Z
dc.date.issued2001
dc.identifier10.1016/s0140-9883(00)00063-3
dc.identifier.issn0140-9883
dc.identifier.urihttp://hdl.handle.net/11615/28375
dc.description.abstractThe purpose of the paper is to test empirically the existence of an environmental Kuznets curve (EKC), using switching regime models along with cross-sectional data and Bayesian Markov chain Monte Carlo methods to perform the computations. The models are based on the normal and Student's t distributions. These methods allow us to present exact, finite-sample posterior distributions of switching regime model parameters as well as exact probabilities of separation of countries into regimes of high and low environmental degradation. Our evidence indicates a monotonic relationship between environmental degradation and income and thus rejects the existence of an EKC. Additionally, we find that several economic and demographic variables cannot explain the distinction between low and high damage countries. (C) 2001 Elsevier Science B.V. All rights reserved.en
dc.source.uri<Go to ISI>://WOS:000167447200005
dc.subjectdamage evaluationen
dc.subjectBayesian analysisen
dc.subjectMarkov chain Monte Carloen
dc.subjectECONOMIC-GROWTHen
dc.subjectPOSTERIOR DISTRIBUTIONSen
dc.subjectMARKOV-CHAINSen
dc.subjectTIME-SERIESen
dc.subjectINFERENCEen
dc.subjectQUALITYen
dc.subjectEconomicsen
dc.titleEnvironmental Kuznets curves: Bayesian evidence from switching regime modelsen
dc.typejournalArticleen


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