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dc.contributor.authorLopez-Bazo, Enrique-
dc.contributor.authorMotellón Corral, Elisabet-
dc.contributor.otherUniversitat de Barcelona (UB)-
dc.contributor.otherUniversitat Oberta de Catalunya (UOC)-
dc.date.accessioned2020-02-18T08:24:05Z-
dc.date.available2020-02-18T08:24:05Z-
dc.date.issued2012-07-01-
dc.identifier.citationLópez Bazo, E. & Motellón, E. (2013). The regional distribution of unemployment: What do micro-data tell us?. Papers in Regional Science, 92(2), 383-405. doi: 10.1111/j.1435-5957.2012.00456.xes
dc.identifier.issn1056-8190MIAR
-
dc.identifier.urihttp://hdl.handle.net/10609/109848-
dc.description.abstractRegional disparities in unemployment rates are large and persistent. The literature provides evidence of their magnitude and evolution, as well as evidence of the role of certain economic, demographic and environmental factors in explaining the gap between regions of low and high unemployment. Most of these studies, however, adopt an aggregate approach and so do not account for the individual characteristics of the unemployed and employed in each region. This paper, by drawing on micro-data from the Spanish wave of the Labour Force Survey, seeks to remedy this shortcoming by analysing regional differentials in unemployment rates. An appropriate decomposition of the regional gap in the average probability of being unemployed enables us to distinguish between the contribution of differences in the regional distribution of individual characteristics from that attributable to a different impact of these characteristics on the probability of unemployment. Our results suggest that the well-documented disparities in regional unemployment are not just the result of regional heterogeneity in the distribution of individual characteristics. Non-negligible differences in the probability of unemployment remain after controlling for this type of heterogeneity, as a result of differences across regions in the impact of the observed characteristics. Among the factors considered in our analysis, regional differences in the endowment and impact of an individual's education are shown to play a major role.en
dc.formatAR/0000002909-
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherPapers in Regional Science-
dc.relation.ispartofPapers in Regional Science, 2013, 92(2)-
dc.relation.urihttps://doi.org/10.1111/j.1435-5957.2012.00456.x-
dc.rightsCC BY-NC-ND-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/-
dc.subjectregional labour marketsen
dc.subjectregional unemploymenten
dc.subjecteducationen
dc.subjectgap decomposition for non-linear modelsen
dc.subjectmercats de treball regionalsca
dc.subjectmercados de trabajo regionaleses
dc.subjectatur regionalca
dc.subjectdesempleo regionales
dc.subjecteducacióca
dc.subjecteducaciónes
dc.subjectdescomposició de buit per models no linealsca
dc.subjectdescomposición de huecos para modelos no linealeses
dc.subject.lcshUnemploymenten
dc.titleThe regional distribution of unemployment: What do micro-data tell us?en
dc.typeinfo:eu-repo/semantics/article-
dc.subject.lemacAturca
dc.subject.lcshesDesempleoes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
dc.identifier.doi10.1111/j.1435-5957.2012.00456.x-
dc.gir.idAR/0000002909-
dc.relation.projectIDinfo:eu-repo/grantAgreement/FP7-SSH2010-2.2-1-
dc.relation.projectIDinfo:eu-repo/grantAgreement/ECO2008-05314/ECON-
dc.type.versioninfo:eu-repo/semantics/acceptedVersion-
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