Convergence in the NEET rates across the European Union: do gender differences persist?

Abstract This study traces gender convergence in the share of young people (15-29) who are not in employment, education, or training (NEET) across the EU-27 from 2004 to 2022. Using EU Labour Force Survey micro-data and Eurostat aggregates, we estimate β-, σ-, and δ-convergence. The results point to a clear narrowing of the average gender gap (upward β-convergence). While overall cross-country dispersion has not fallen (no σ-convergence), a catch-up process towards the countries with the smallest gender gaps is evident (δ-convergence). The closing gap is driven mainly by improved labour-market and educational outcomes for women, coupled with a general deterioration in men’s outcomes. In the long run, early school-leaving rates, youth employment levels and spending on active labour-market policies emerge as key determinants of gender convergence. We conclude by outlining the policy implications of these findings.

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Publication Details

Journal
Socio-Economic Review
Published
2025-11-26
DOI
https://doi.org/10.1093/ser/mwaf083
Primary Topic
Labor market dynamics and wage inequality
Type
article
Field-Weighted Citation Impact
0.00
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article

Convergence in the NEET rates across the European Union: do gender differences persist?

Miguel Á. Malo, Chiara Mussida, Maurizio Baussola, Guillermo Orfao
Socio-Economic Review
Labor market dynamics and wage inequality
article

Convergence in the NEET rates across the European Union: do gender differences persist?

Miguel Á. Malo, Chiara Mussida, Maurizio Baussola, Guillermo Orfao
article en

Abstract

Abstract This study traces gender convergence in the share of young people (15-29) who are not in employment, education, or training (NEET) across the EU-27 from 2004 to 2022. Using EU Labour Force Survey micro-data and Eurostat aggregates, we estimate β-, σ-, and δ-convergence. The results point to a clear narrowing of the average gender gap (upward β-convergence). While overall cross-country dispersion has not fallen (no σ-convergence), a catch-up process towards the countries with the smallest gender gaps is evident (δ-convergence). The closing gap is driven mainly by improved labour-market and educational outcomes for women, coupled with a general deterioration in men’s outcomes. In the long run, early school-leaving rates, youth employment levels and spending on active labour-market policies emerge as key determinants of gender convergence. We conclude by outlining the policy implications of these findings.

Socio-Economic Review
Universitat Pompeu Fabra (ES), Universidad de Salamanca (ES), University of the Sacred Heart (JP)
Gender equality
Openalex Percentile: Top 21%
Labor market dynamics and wage inequality
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