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Regional Differences in Gender Wage Gaps in Poland: New Estimates Based on Harmonized Data for Wages

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  • Aleksandra Majchrowska

    (University of Łódź
    Narodowy Bank Polski)

  • Paweł Strawiński

    (University of Warsaw)

Abstract

The aim of this paper was to estimate the gender wage gap in Poland and in the 16 NUTS2 Polish regions in 2010, and to verify the predictions of the spatial monopsony model for Poland with a newly created, harmonized database for wages of individuals in Poland. According to the model, the unexplained part of the gender wage gap, identified with wage discrimination, tend to be lower in regions with more competition between employers. The results of the analyses performed in this paper show that in more urbanized regions the average wages are higher than in the rural ones. In each of the 16 NUTS2 Polish regions, women earn less than men. Raw differences in wages between men and women are largest in the most urbanized regions but a significant part of the differences in those regions can be explained by differences in workers' characteristics, especially by different sectoral structure of employment. The part of the gender wage gap which remains unexplained, and in the literature is commonly attached to discrimination, is the highest in rural regions of Eastern Poland in line with the predictions of the spatial monopsony model.

Suggested Citation

  • Aleksandra Majchrowska & Paweł Strawiński, 2016. "Regional Differences in Gender Wage Gaps in Poland: New Estimates Based on Harmonized Data for Wages," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 8(2), pages 115-141, June.
  • Handle: RePEc:psc:journl:v:8:y:2016:i:2:p:115-141
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    3. 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.
    4. Wydra-Somaggio, Gabriele & Höchst, Michael, 2018. "Regionaler Gender Pay Gap : Analyse der geschlechtsspezifischen Entgeltunterschiede im Saarland," IAB-Regional. Berichte und Analysen aus dem Regionalen Forschungsnetz. IAB Rheinland-Pfalz-Saarland 201802, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    5. Matuszewska-Janica Aleksandra, 2018. "Differences in Men’s and Women’s Wages in the Education Sector in the Baltic Sea Region States," Folia Oeconomica Stetinensia, Sciendo, vol. 18(1), pages 157-168, June.
    6. Aleksandra Matuszewska-Janica, 2018. "Men and Women Wage Differences in Spain and Poland," Montenegrin Journal of Economics, Economic Laboratory for Transition Research (ELIT), vol. 14(1), pages 45-52.
    7. Wydra-Somaggio, Gabriele & Höchst, Michael, 2018. "Regionaler Gender Pay Gap : Analyse der geschlechtsspezifischen Entgeltunterschiede in Rheinland-Pfalz," IAB-Regional. Berichte und Analysen aus dem Regionalen Forschungsnetz. IAB Rheinland-Pfalz-Saarland 201801, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
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    More about this item

    Keywords

    gender wage gap; Poland; regional labour markets;
    All these keywords.

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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