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Foreign Workers and the Wage Distribution: What Does the Influence Function Reveal?

September 2018

Abstract: This paper draws upon influence function regression methods to determine where foreign workers stand in the distribution of private sector wages in Luxembourg, and assess whether and how much their wages contribute to wage inequality. This is quantified by measuring the effect that a marginal increase in the proportion of foreign workers—foreign residents or cross-border workers—would have on selected quantiles and measures of inequality. Analysis of the 2006 Structure of Earnings Survey reveals that foreign workers have generally lower wages than natives and therefore tend to haul the overall wage distribution downwards. Yet, their influence on wage inequality reveals small and negative. All impacts are further muted when accounting for human capital and, especially, job characteristics. Not observing any large positive inequality contribution on the Luxembourg labour market is a striking result given the sheer size of the foreign workforce and its polarization at both ends of the skill distribution.

Type: Journal article
Theme(s): Wages and employment     Migration and integration     Income inequality: measures, trends and drivers
Keywords: cross-border workers, immigrant wages, influence function, Luxembourg, RIF regression, wage inequality
JEL Classification: J15, J31, J61
10.3390/econometrics6030041
RePEc:gam:jecnmx:v:6:y:2018:i:3:p:41-:d:168315

Reference

Choe, C. & Van Kerm, P. (2018), 'Foreign Workers and the Wage Distribution: What Does the Influence Function Reveal?', Econometrics, 6(3), 1-26.

@ARTICLE{pvk-462,
	Author = {Choe, Chung and Van Kerm, Philippe},
	Title = {Foreign Workers and the Wage Distribution: {W}hat Does the Influence Function Reveal?},
	Journal = {Econometrics},
	Volume = {6},
	Number = {3},
	Pages = {1-26},
	Month = sep,
	Year = {2018}
}

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Other versions

Choe, C. & Van Kerm, P. (2014), 'Foreign workers and the wage distribution: Where do they fit in?', LISER Working Paper 2014-02, Luxembourg Institute of Socio-Economic Research, Esch/Alzette, Luxembourg.    

Funding

Information and wage inequality (INWIN) supported by the Fonds National de la Recherche

Other papers in the same project

None.

Presentation(s) of this work (PVK only)

Foreign Workers and the Wage Distribution: What Does the Influence Function Reveal?. EALE 30th Annual Conference, Lyon, 2018.

Foreign Workers and the Wage Distribution: Where Do They Fit In?. ECINEQ 2017, New York, 2017.

Foreign Workers and the Wage Distribution: Where Do They Fit In?. ISER Monday Seminar Series, Colchester, 2017.

Foreign Workers and the Wage Distribution: Where Do They Fit In?. 3rd Luxembourg Workshop on Household Finance and Consumption, Luxembourg, 2015.

Dataset(s) used in the paper

Other papers using the same datasets...

Van Kerm, P., Choe, C. & Yu, S. (2016), 'Decomposing quantile wage gaps: a conditional likelihood approach', Journal of the Royal Statistical Society (Series C: Applied Statistics), 65(4), 507-527.    

Some bibliometrics

33 citations according to OpenAlex

44 citations according to CitEc (RePEc)

126 downloads from RePEc services, according to LogEc

All versions of this work together, as of 17 October 2026. Each source covers different material, so the figures differ and are not added up.

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