Article (Scientific journals)
Modelling earnings dynamics and inequality: foreign workers and inequality trends in Luxembourg, 1988--2009
Sologon, Denisa M.; Van Kerm, Philippe
2018In Journal of the Royal Statistical Society. Series A, Statistics in Society, 181 (2), p. 409-440
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Abstract :
[en] The paper exploits large-scale administrative data to analyse trends in male earnings inequality in Luxembourg during 20 years of rapid economic growth, industrial redevelopment and massive inflow of foreign workers. A detailed error components model is estimated to identify persistent and transitory components of (the trends of) log-earnings variance and to disentangle the contributions to it of native, immigrant and cross-border workers. The model is flexible and allows for a high degree of individual, age, time and cohort heterogeneity. We observe a surprising stability in overall earnings inequality as a result of more complex underlying changes, with marked increases in persistent inequality (except among natives), a growing contribution of foreigners and a decrease in earnings instability (primarily for natives).
Disciplines :
Quantitative methods in economics & management
Social economics
Economic systems & public economics
Sociology & social sciences
Author, co-author :
Sologon, Denisa M.;  Luxembourg Institute of Socio-Economic Research - LISER
Van Kerm, Philippe  ;  University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Integrative Research Unit: Social and Individual Development (INSIDE) ; Luxembourg Institute of Socio-Economic Research - LISER
External co-authors :
no
Language :
English
Title :
Modelling earnings dynamics and inequality: foreign workers and inequality trends in Luxembourg, 1988--2009
Publication date :
2018
Journal title :
Journal of the Royal Statistical Society. Series A, Statistics in Society
ISSN :
1467-985X
Publisher :
Blackwell Publishing
Volume :
181
Issue :
2
Pages :
409-440
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Computational Sciences
Funders :
FNR - Fonds National de la Recherche [LU]
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since 27 February 2018

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