Modelling earnings dynamics and inequality: foreign workers and inequality trends in Luxembourg, 1988-2009.

Denisa Sologon, Philippe Van Kerm

Research output: Contribution to journalArticlepeer-review

Abstract

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).
Original languageEnglish
Pages (from-to)409-440
Number of pages0
JournalJournal of the Royal Statistical Society. Series A: Statistics in Society
Volume181
Issue number2
Early online date1 Jan 2017
DOIs
Publication statusPublished - 1 Feb 2018

Keywords

  • Earnings dynamics
  • Minimum distance estimation
  • Persistent inequality
  • Transitory inequality
  • cross-border and immigrant workers
  • dministrative data

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