Convergence and determinants of young people not in employment, education or training: An European regional analysis
dc.contributor.author
dc.date.accessioned
2022-10-07T07:19:56Z
dc.date.available
2022-10-07T07:19:56Z
dc.date.issued
2022-05
dc.identifier.issn
0264-9993
dc.identifier.uri
dc.description.abstract
In this paper, we study the convergence in the rates of young people Not in Employment, Education or Training (NEET) across the 274 European regions from 2000 to 2019. First, we apply the club convergence methodology and identify the presence of four important clusters with different trends in NEET rates. The estimated clusters consist of sub-national regions in quite distinct parts of Europe. Then, a spatio-temporal econometric model is used to confirm the presence of a reduction in the disparities (β–convergence) of these rates across the European regions. We identify the main drivers in each cluster and calculate the long-run NEET rates. The unemployment rate and the percentage of early leavers from education and training are the main drivers of NEET rates in all clusters
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.relation.isformatof
Reproducció digital del document publicat a: https://doi.org/10.1016/j.econmod.2022.105808
dc.relation.ispartof
Economic Modelling, 2022, vol. 110, art.núm.105808
dc.relation.ispartofseries
Articles publicats (D-EC)
dc.rights
Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri
dc.subject
dc.title
Convergence and determinants of young people not in employment, education or training: An European regional analysis
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.type.version
info:eu-repo/semantics/publishedVersion
dc.identifier.doi
dc.identifier.idgrec
034972
dc.type.peerreviewed
peer-reviewed
dc.identifier.eissn
1873-6122