%0 Report
        %A Albanese, Andrea
%A Marguerit, David
        %T Labor-Market Consequences of Cross-Border Employment: A Machine Learning Approach
        %D 2026
        %8 2026 May
        %I Institute of Labor Economics (IZA)
        %C Bonn
        %7 IZA Discussion Paper
        %N 18674
        %U https://www.iza.org/index.php/publications/dp18674
        %X 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.
        %K cross-border commuting
%K return migration
%K unemployment insurance
%K EU labor mobility
%K administrative data