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...

This paper provides a comprehensive quantitative assessment of the employment performance of first- and second-generation immigrants in Belgium compared to that of natives. Using detailed quarterly data for the period 2008-2014, we find not only that first-generation immigrants face a...

This paper examines the relationship between immigration and over-education, taking advantage of access to rich matched employer-employee data for the Belgian private sector for the period 1999-2010. Covering more than 1.2 million workers, the data enable the authors to: i) measure...

This article is the first to examine how 1st-generation migrants affect the employment of workers born in the host country according to their origin, distinguishing between natives and 2nd-generation migrants. To do so, we take advantage of access to a unique linked employer-employee dataset for...

A large body of literature shows that first-generation immigrants born in developing countries experience a higher likelihood of being overeducated than natives (i.e. immigrant overeducation). However, evidence is remarkably scarce when it comes to the overeducation of second-generation...

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...