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Identifying Age Penalty in Women's Wages: New Method and Evidence from Germany 1984-2014

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  • Joanna Tyrowicz

    (Institute for Labour Law and Industrial Relations in the European Union IAAEU), Trier University)

  • Lucas van der Velde

    (Group for Research in Applied Economics and Warsaw School of Economics)

  • Irene van Staveren

    (ISS Erasmus University)

Abstract

Given theoretical premises, gender wage gap adjusted for individual characteristics is likely to vary over age. We extend DiNardo, Fortin and Lemieux (1996) semi-parametric technique to disentangle year, cohort and age effects in adjusted gender wage gaps. We rely on a long panel of data from the German Socio-Economic Panel covering the 1984-2015 period. Our results indicate that the gender wage gap increases over the lifetime, for some birth cohorts also in the post-reproductive age.

Suggested Citation

  • Joanna Tyrowicz & Lucas van der Velde & Irene van Staveren, 2018. "Identifying Age Penalty in Women's Wages: New Method and Evidence from Germany 1984-2014," IAAEU Discussion Papers 201803, Institute of Labour Law and Industrial Relations in the European Union (IAAEU).
    • Handle: RePEc:iaa:dpaper:201803
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    Cited by:

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    6. Neyer, Ulrike & Stempel, Daniel, 2019. "Macroeconomic effects of gender discrimination," DICE Discussion Papers 324, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    7. Glaubitz, Rick & Harnack-Eber, Astrid & Wetter, Miriam, 2022. "The gender gap in lifetime earnings: The role of parenthood," Discussion Papers 2022/3, Free University Berlin, School of Business & Economics.
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    9. Bárcena-Martín, Elena & Medina-Claros, Samuel & Pérez-Moreno, Salvador, 2020. "Gendered Effects of Employment Protection on Earnings Mobility," GLO Discussion Paper Series 547, Global Labor Organization (GLO).
    10. Xu, Mengmeng & Tan, Ruipeng, 2021. "Removing energy allocation distortion to increase economic output and energy efficiency in China," Energy Policy, Elsevier, vol. 150(C).
    11. Heiko Stüber & Markus M. Grabka & Daniel D. Schnitzlein, 2023. "A tale of two data sets: comparing German administrative and survey data using wage inequality as an example," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 57(1), pages 1-18, December.
    12. Rick Glaubitz & Astrid Harnack-Eber & Miriam Wetter, 2022. "The Gender Gap in Lifetime Earnings: The Role of Parenthood," Discussion Papers of DIW Berlin 2001, DIW Berlin, German Institute for Economic Research.
    13. Stephan Huber & Jochen Model & Silvio Städter, 2019. "Ostracism in alliances of teams and individuals: Voting, exclusion, contribution, and earnings," IAAEU Discussion Papers 201901, Institute of Labour Law and Industrial Relations in the European Union (IAAEU).
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    16. Bonacini, Luca & Gallo, Giovanni & Scicchitano, Sergio, 2021. "Will it be a shecession? The unintended influence of working from home on the gender wage gap related to the COVID-19 pandemic," GLO Discussion Paper Series 771, Global Labor Organization (GLO).
    17. Kamal, Mustafa & Blacklow, Paul, 2021. "Australian age, period, cohort effects in the gender wage gap - 2001 to 2018," Working Papers 2021-02, University of Tasmania, Tasmanian School of Business and Economics.
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    20. Stempel, Daniel & Neyer, Ulrike, 2019. "The Effects of Gender Discrimination in DSGE Models," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203556, Verein für Socialpolitik / German Economic Association.
    21. Laszlo Goerke & Michael Neugart, 2020. "Thorstein Veblen, Joan Robinson, and George Stigler (probably) never met: Social Preferences, Monopsony, and Government Intervention," IAAEU Discussion Papers 202001, Institute of Labour Law and Industrial Relations in the European Union (IAAEU).

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    More about this item

    Keywords

    gender wage gap; age; cohort; decomposition; non-parametric estimates; Germany;
    All these keywords.

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

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