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Did the Minimum Wage Reduce the Gender Wage Gap in Germany?

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  • Marco Caliendo

    (University of Potsdam, IZA, DIW, IAB)

  • Linda Wittbrodt

    (University of Potsdam)

Abstract

In many countries, women are over-represented among low-wage employees, which is why a wage floor could benefit them particularly. Following this notion, we analyse the impact of the German minimum wage introduction in 2015 on the gender wage gap. Germany poses an interesting case study in this context, since it has a rather high gender wage gap and set the minimum wage at a relatively high level, affecting more than four million employees. Based on individual data from the Structure of Earnings Survey, containing information for over one million employees working in 60,000 firms, we use a difference-in- difference framework that exploits regional differences in the bite of the minimum wage. We find a significant negative effect of the minimum wage on the regional gender wage gap. Between 2014 and 2018, the gap at the 10th percentile of the wage distribution was reduced by 4.6 percentage points (or 32%) in regions that were strongly affected by the minimum wage compared to less affected regions. For the gap at the 25th percentile, the effect still amounted to -18%, while for the mean it was smaller (-11%) and not particularly robust. We thus find that the minimum wage can indeed reduce gender wage disparities. While the effect is highest for the low-paid, it also reaches up into higher parts of the wage distribution.

Suggested Citation

  • Marco Caliendo & Linda Wittbrodt, 2021. "Did the Minimum Wage Reduce the Gender Wage Gap in Germany?," CEPA Discussion Papers 40, Center for Economic Policy Analysis.
  • Handle: RePEc:pot:cepadp:40
    DOI: 10.25932/publishup-53046
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    Cited by:

    1. Clemens Ohlert, 2024. "Minimum Wage Effects on Gender Gaps in Working Hours and Earnings in Germany," Working Papers 663, ECINEQ, Society for the Study of Economic Inequality.
    2. Moritz Drechsel‐Grau & Andreas Peichl & Kai D. Schmid & Johannes F. Schmieder & Hannes Walz & Stefanie Wolter, 2022. "Inequality and income dynamics in Germany," Quantitative Economics, Econometric Society, vol. 13(4), pages 1593-1635, November.
    3. Carlos Oliveira, 2022. "How is the Minimum Wage Shaping the Wage Disitribution: Bite, Spillovers, and Wage Inequality," GEE Papers 0160, Gabinete de Estratégia e Estudos, Ministério da Economia, revised May 2022.
    4. José-Ignacio Antón & Rafael Grande & Rafael Muñoz de Bustillo & Fernando Pinto, 2023. "Gender Gaps in Working Conditions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 166(1), pages 53-83, February.
    5. Garcia-Louzao, Jose & Tarasonis, Linas, 2023. "Wage and Employment Impact of Minimum Wage: Evidence from Lithuania," Journal of Comparative Economics, Elsevier, vol. 51(2), pages 592-609.
    6. Stüber, Heiko & Grabka, Markus M. & Schnitzlein, Daniel D., 2023. "A tale of two data sets: comparing German administrative and survey data using wage inequality as an example," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 57, pages 1-8.
    7. Luke Haywood, 2023. "Gendered Effects of the Minimum Wage," UB School of Economics Working Papers 2023/450, University of Barcelona School of Economics.
    8. Schmid, Ramona, 2022. "Mind the gap: Effects of the national minimum wage on the gender wage gap in Germany," Hohenheim Discussion Papers in Business, Economics and Social Sciences 06-2022, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    9. Biewen, Martin & Fitzenberger, Bernd & Rümmele, Marian, 2022. "Using Distribution Regression Difference-in-Differences to Evaluate the Effects of a Minimum Wage Introduction on the Distribution of Hourly Wages and Hours Worked," IZA Discussion Papers 15534, Institute of Labor Economics (IZA).

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    More about this item

    Keywords

    Minimum Wage; Gender Wage Gap; Regional Bite;
    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
    • J38 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Public Policy
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

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