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dc.contributor.authorLe Pen, Yannick
dc.contributor.authorFève, Patrick
dc.date.accessioned2011-07-29T14:40:02Z
dc.date.available2011-07-29T14:40:02Z
dc.date.issued2000
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/6861
dc.language.isoenen
dc.subjectregime classificationen
dc.subjectconvergenceen
dc.subject.ddc338.9en
dc.subject.classificationjelC2en
dc.subject.classificationjelO40en
dc.titleOn modelling convergence clubsen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenA switching regression approach with imperfect sample separation information is used to determine convergence clubs. Regime classification allows one to determine which countries belong to the related convergence clubs. Initial per capita GDP does not provide a perfect sample separation information, but the regimes classification obtained from an endogenous switching model provides unusual results.en
dc.relation.isversionofjnlnameApplied Economics Letters
dc.relation.isversionofjnlvol7en
dc.relation.isversionofjnlissue5en
dc.relation.isversionofjnldate2000
dc.relation.isversionofjnlpages311-314en
dc.relation.isversionofdoihttp://dx.doi.org/10.1080/135048500351456en
dc.description.sponsorshipprivateouien
dc.relation.isversionofjnlpublisherTaylor & Francisen
dc.subject.ddclabelCroissance et développement économiquesen


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