This paper is one of the first to use employer-employee data on wages and labor productivity to measure discrimination against immigrants. We build on an identification strategy proposed by Bartolucci (2014) and address firm fixed effects and endogeneity issues through a diff GMM-IV estimator....

This paper is one of the first to use employer-employee data on wages and labor productivity to measure discrimination against immigrants. We build on an identification strategy proposed by Bartolucci (Ind Labor Relat Rev 67(4):1166-1202, 2014) and address firm fixed effects and endogeneity...

This paper is one of the first to use employer-employee data on wages and labor productivity to measure discrimination against immigrants. We build on an identification strategy proposed by Bartolucci (2014) and address firm fixed effects and endogeneity issues through a diff GMM-IV estimator....

This paper analyses the wage effects of educational mismatch by workers' origin using a sizeable, detailed matched employer-employee dataset for Belgium. Relying on a fine-grained approach to measuring educational mismatch, the results show that over-educated workers, regardless of their origin,...

We provide first evidence of the impact of over-education, among natives and immigrants, on firm-level productivity and wages. We use Belgian linked panel data and rely on the methodology from Hellerstein et al. (1999) to estimate ORU (over-, required, and under-education) equations aggregated...

We provide first evidence of the impact of over-education, among natives and immigrants, on firm-level productivity and wages. We use Belgian linked panel data and rely on the methodology from Hellerstein et al. (1999) to estimate ORU (over-, required, and under-education) equations aggregated...