TY  - RPRT
        AU  - Albanese, Andrea
AU  - Marguerit, David
        TI  - Labor-Market Consequences of Cross-Border Employment: A Machine Learning Approach
        PY  - 2026/May/
        PB  - Institute of Labor Economics (IZA)
        CY  - Bonn
        T2  - IZA Discussion Paper
        IS  - 18674
        UR  - https://www.iza.org/index.php/publications/dp18674
        AB  - 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.
        KW  - cross-border commuting
KW  - return migration
KW  - unemployment insurance
KW  - EU labor mobility
KW  - administrative data
        ER  -