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dc.contributor.authorBarrios González, María Candelaria 
dc.contributor.authorJandrić, Maja
dc.contributor.authorMolnar, Dejan
dc.contributor.authorTanasković, Svetozar
dc.contributor.otherEconomía Aplicada y Métodos Cuantitativos
dc.date.accessioned2024-12-02T21:06:00Z
dc.date.available2024-12-02T21:06:00Z
dc.date.issued2019
dc.identifier.urihttp://riull.ull.es/xmlui/handle/915/40412
dc.description.abstractThis paper investigates the existence of club convergence on the NUTS (Nomenclature des Unités Territoriales Statistiques) 3 level in Serbia. While a common approach in investigating convergence is based on dividing units of observation a priori into individual groups based on some of their particular characteristics, we use a method developed by Phillips and Sul (2007) that allows identification of clusters of convergence on the basis of an algorithm that is data-driven and thereby avoids a priori classification of the data into subgroups. We use data on GVA per capita for the NUTS 3 level in Serbia for the period 2001-2017. Our results show that there are two convergence clubs in Serbia, while the Belgrade district shows no signs of convergence with any of the other clubs.en
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.relation.ispartofseriesApplied Economics
dc.rightsLicencia Creative Commons (Reconocimiento-No comercial-Sin obras derivadas 4.0 Internacional)
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es_ES
dc.titleConvergence clubs in different regions of Serbiaen
dc.typeinfo:eu-repo/semantics/article
dc.subject.keywordConvergenceen
dc.subject.keywordclub convergenceen
dc.subject.keywordlog t testen
dc.subject.keywordSerbia


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