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....

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...

As immigrants born in developing countries and their descendants represent a growing share of the working-age population in the developed world, their labour market integration constitutes a key factor for fostering economic development and social cohesion. Using a granular, matched...

As immigrants born in developing countries and their descendants represent a growing share of the working-age population in the developed world, their labour market integration constitutes a key factor for fostering economic development and social cohesion. Using a granular, matched...