Convergence and determinants of young people not in employment, education or training: an European regional analysis

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...

Descripción completa

Detalles Bibliográficos
Autores: Maynou Pujolràs, Laia, Ordóñez, Javier, Silva, José Ignacio
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/57586
Acceso en línea:http://hdl.handle.net/10230/57586
http://dx.doi.org/10.1016/j.econmod.2022.105808
Access Level:acceso abierto
Palabra clave:Convergence
European Union
NEET rates
Youth unemployment
id ES_9d64eb6d88cb70e3b1ca6a6cb1de6d7e
oai_identifier_str oai:recercat.cat:10230/57586
network_acronym_str ES
network_name_str España
repository_id_str
spelling Convergence and determinants of young people not in employment, education or training: an European regional analysisMaynou Pujolràs, LaiaOrdóñez, JavierSilva, José IgnacioConvergenceEuropean UnionNEET ratesYouth unemploymentIn 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.We are grateful for the financial support received from the Spanish Ministry of Economics, Industry and Competitiveness grant PID2020-113452RB-I00 (Silva), from the Generalitat de Catalunya – 2017SGR558 (Silva) and 2017SGR656 (Maynou), and the University Jaume I research project UJI-B2020-16 (Ordóñez).Elsevier202320232022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/57586http://dx.doi.org/10.1016/j.econmod.2022.105808reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésEconomic Modelling. 2022;110:105808.info:eu-repo/grantAgreement/ES/2PE/PID2020-113452RB-I00© 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:10230/575862026-05-29T05:05:01Z
dc.title.none.fl_str_mv Convergence and determinants of young people not in employment, education or training: an European regional analysis
title Convergence and determinants of young people not in employment, education or training: an European regional analysis
spellingShingle Convergence and determinants of young people not in employment, education or training: an European regional analysis
Maynou Pujolràs, Laia
Convergence
European Union
NEET rates
Youth unemployment
title_short Convergence and determinants of young people not in employment, education or training: an European regional analysis
title_full Convergence and determinants of young people not in employment, education or training: an European regional analysis
title_fullStr Convergence and determinants of young people not in employment, education or training: an European regional analysis
title_full_unstemmed Convergence and determinants of young people not in employment, education or training: an European regional analysis
title_sort Convergence and determinants of young people not in employment, education or training: an European regional analysis
dc.creator.none.fl_str_mv Maynou Pujolràs, Laia
Ordóñez, Javier
Silva, José Ignacio
author Maynou Pujolràs, Laia
author_facet Maynou Pujolràs, Laia
Ordóñez, Javier
Silva, José Ignacio
author_role author
author2 Ordóñez, Javier
Silva, José Ignacio
author2_role author
author
dc.subject.none.fl_str_mv Convergence
European Union
NEET rates
Youth unemployment
topic Convergence
European Union
NEET rates
Youth unemployment
description 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.
publishDate 2022
dc.date.none.fl_str_mv 2022
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/57586
http://dx.doi.org/10.1016/j.econmod.2022.105808
url http://hdl.handle.net/10230/57586
http://dx.doi.org/10.1016/j.econmod.2022.105808
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Economic Modelling. 2022;110:105808.
info:eu-repo/grantAgreement/ES/2PE/PID2020-113452RB-I00
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869414739117867008
score 15,812429