Convergence in the NEET rates across the European Union: do gender differences persist?
[EN]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 cl...
| Autores: | , , , |
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| Formato: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2025 |
| País: | España |
| Recursos: | Universidad de Salamanca (USAL) |
| Repositorio: | GREDOS. Repositorio Institucional de la Universidad de Salamanca |
| OAI Identifier: | oai:dnet:gredos______::45e97573d022980de5bcc3756a24ad87 |
| Acesso em linha: | http://hdl.handle.net/10366/171149 |
| Access Level: | acceso embargado |
| Palavra-chave: | Convergence Europe Gender NEET Youth 63 Sociología |
| Resumo: | [EN]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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