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

Author

Listed:
  • Aleksandra Parteka

    (Politechnika Gdańska)

  • Sabina Szymczak

    (Politechnika Gdańska)

  • Joanna Wolszczak-Derlacz

    (Politechnika Gdańska)

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.

Suggested Citation

  • Aleksandra Parteka & Sabina Szymczak & Joanna Wolszczak-Derlacz, 2017. "Gender Wage Gap Convergence and Skills Heterogeneity in Poland (2005–2014) – Quantile Regression Analysis Based on Microdata from EU SILC," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 47, pages 129-142.
  • Handle: RePEc:sgh:annals:i:47:y:2017:p:129-142
    as

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    References listed on IDEAS

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    More about this item

    Keywords

    gender wage gap; wage differentials; EU-SILC; skills heterogeneity; quantile regression;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J7 - Labor and Demographic Economics - - Labor Discrimination

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