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

Maynou, Laia ORCID: 0000-0002-0447-2959, Ordóñez, Javier and Silva, José Ignacio (2022) Convergence and determinants of young people not in employment, education or training: an European regional analysis. Economic Modelling, 110. ISSN 0264-9993

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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.

Item Type:	Article
Official URL:	https://www.sciencedirect.com/journal/economic-mod...
Additional Information:	© 2022 The Authors
Divisions:	Health Policy
Subjects:	H Social Sciences > HB Economic Theory H Social Sciences > HD Industries. Land use. Labor H Social Sciences > HQ The family. Marriage. Woman
Date Deposited:	09 Mar 2022 15:27
Last Modified:	16 Nov 2024 17:03
URI:	http://eprints.lse.ac.uk/id/eprint/114295

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