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Gender Wage Gap Convergence and Skills Heterogeneity in Poland (2005–2014) – Quantile Regression Analysis Based on Microdata from EU SILC

Aleksandra Parteka (), Sabina Szymczak and Joanna Wolszczak-Derlacz ()
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Sabina Szymczak: Politechnika Gdańska

Collegium of Economic Analysis Annals, 2017, issue 47, 129-142

Abstract: In this article we quantify the magnitude and evolution of gender wage differentials in Poland over the years 2005–2014 using microlevel data from EU-SILC database (Statistics on Income and Living Conditions). It the study gender wage gap is examined through quantile regression analysis. It is shown that the gender wage gap varies along the wage distribution with workers’ skills heterogeneity playing a role. Additionally, the decomposition technique reveals that the unexplained wage gap is highest for the top of the distribution. Finally, the results suggest a slow decrease in discriminatory component of the wage gap –only for the bottom of the wage distribution.

Keywords: gender wage gap; wage differentials; EU-SILC; skills heterogeneity; quantile regression (search for similar items in EconPapers)
JEL-codes: J16 J31 J7 (search for similar items in EconPapers)
Date: 2017
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Handle: RePEc:sgh:annals:i:47:y:2017:p:129-142