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The EU gender earnings gap : job segregation and working time as driving factors

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  • Boll, Christina

    (HWWI)

  • Rossen, Anja

    (Institute for Employment Research (IAB), Nuremberg, Germany)

  • Wolf, André

    (HWWI)

Abstract

"This paper estimates size and impact factors of the gender pay gap in Europe. It adds to the literature in three aspects. First, we update existing figures on the gender pay gaps in the EU based on the Structure of Earnings Survey 2010 (SES). Second, we enrich the literature by undertaking comprehensive country comparisons of the gap components based on an Oaxaca-Blinder decomposition. Overall, we analyze 21 EU countries plus Norway, which clearly exceeds the scope of existing microdata studies. Third, we examine the sources of the unexplained gap. We find that about one third of the gap can be traced back to the role of the explanatory factors included in our analysis. The sectoral segregation of genders is identified as the most important barrier to gender pay equality in European countries. In addition, the fact that part-time positions are more frequent among women notably contributes to the gap. We conclude that policies aiming at closing the gender pay gap should focus more on the sector level than on the aggregate economy." (Author's abstract, IAB-Doku) ((en))

Suggested Citation

  • Boll, Christina & Rossen, Anja & Wolf, André, 2016. "The EU gender earnings gap : job segregation and working time as driving factors," IAB-Discussion Paper 201636, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  • Handle: RePEc:iab:iabdpa:201636
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    8. Chen, Zhongwei & Cui, Ruijie & Tang, Can & Wang, Zihan, 2024. "Can digital literacy improve individuals' incomes and narrow the income gap?," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    9. Amaia PALENCIA‐ESTEBAN, 2022. "Occupational segregation of female and male immigrants in Europe: Accounting for cross‐country differences," International Labour Review, International Labour Organization, vol. 161(3), pages 341-373, September.
    10. Drupp, Moritz A. & Khadjavi, Menusch & Riekhof, Marie-Catherine & Voss, Rudi, 2020. "Professional identity and the gender gap in risk-taking. Evidence from field experiments with scientists," Journal of Economic Behavior & Organization, Elsevier, vol. 170(C), pages 418-432.
    11. Christina Boll & Elisabeth Bublitz, 2018. "A Cross‐Country Comparison of Gender Differences in Job‐Related Training: The Role of Working Hours and the Household Context," British Journal of Industrial Relations, London School of Economics, vol. 56(3), pages 503-555, September.
    12. Grass, Karen & Weber, Enzo, 2016. "EU 4.0 - Die Debatte zu Digitalisierung und Arbeitsmarkt in Europa," IAB-Discussion Paper 201639, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
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    Keywords

    Belgien ; Bulgarien ; Bundesrepublik Deutschland ; Dänemark ; Estland ; Finnland ; Frankreich ; Griechenland ; Großbritannien ; Italien ; Kroatien ; Lettland ; Litauen ; Niederlande ; Norwegen ; Polen ; Portugal ; Rumänien ; Schweden ; Slowakei ; Spanien ; Tschechische Republik ; Ungarn ; erwerbstätige Frauen ; erwerbstätige Männer ; Europäische Union ; geschlechtsspezifische Faktoren ; geschlechtsspezifischer Arbeitsmarkt ; internationaler Vergleich ; Lohndiskriminierung ; Lohnunterschied ; Segregation ; sektorale Verteilung ; Arbeitsmarktsegmentation ; Wirtschaftssektoren ; 2010-2010;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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