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Labor-Market Consequences of Cross-Border Employment: A Machine Learning Approach

Résultats de recherche: Papier de travailWorking paper

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Résumé

Cross-border work is expanding in the EU, yet its labor-market effects on the cross-border workers themselves remain largely undocumented. Using linked Belgian administrative registers that identify cross-border spells in Luxembourg, we estimate the effects of cross-border employment on post-return labor-market outcomes through dynamic double machine learning. Returnees face a short-run employment penalty that fades with cross-border tenure and time since return. They are also more likely to receive Belgian unemployment benefits than comparable stayers, with higher daily benefit levels among recipients.
langue originaleAnglais
Lieu de publicationLuxembourg
ÉditeurIZA@LISER Network
Nombre de pages65
étatPublié - mai 2026

Série de publications

NomIZA Discussion Paper
EditeurIZA@LISER Network
Numéro18674
ISSN (imprimé)2365-9793

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