Wage discrimination against immigrants: measurement with firm-level productivity data

Stephan Kampelmann and Francois Rycx

ULB Institutional Repository from ULB -- Universite Libre de Bruxelles

Abstract: 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 issues through a diff GMM-IV estimator. Our models also test for gender-based discrimination. Empirical results for Belgium suggest significant wage discrimination against women and (to a lesser extent) against immigrants. We find no evidence for double discrimination against female immigrants. Institutional factors such as firm-level collective bargaining and smaller firm sizes are found to attenuate wage discrimination against foreigners, but not against women. JEL Classification: J15, J16, J24, J31, J7

Keywords: Discrimination; Gender; Linked employer-employee panel data; Productivity; Wages; Workers’ origin (search for similar items in EconPapers)
Date: 2016-12
Note: SCOPUS: ar.j
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Published in: IZA Journal of Migration (2016) v.5 n° 1

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Related works:
Journal Article: Wage discrimination against immigrants: measurement with firm-level productivity data (2016)
Working Paper: Wage Discrimination against Immigrants: Measurement with Firm-Level Productivity Data (2016)
Working Paper: Wage discrimination against immigrants: Measurement with firm-level productivity data (2016)
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