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Child penalty estimation and mothers' age at first birth

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  • Melentyeva, Valentina
  • Riedel, Lukas

Abstract

We show that the widespread approach to estimate the career costs of motherhood - so called "child penalties" - is prone to produce biased results, as it pools first-time mothers of all ages without accounting for their differences in characteristics and outcomes. We propose a novel method building on the recent advances in the difference-in-differences literature to address this issue. Applied to German administrative data, our method yields 30 percent larger post-birth earnings losses than the conventional approach. We document meaningful effect heterogeneity by maternal age in both magnitude and interpretation, highlighting its key role in understanding the impact of motherhood.

Suggested Citation

  • Melentyeva, Valentina & Riedel, Lukas, 2025. "Child penalty estimation and mothers' age at first birth," ZEW Discussion Papers 25-033, ZEW - Leibniz Centre for European Economic Research.
  • Handle: RePEc:zbw:zewdip:321862
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    References listed on IDEAS

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    1. David Card & Jörg Heining & Patrick Kline, 2013. "Workplace Heterogeneity and the Rise of West German Wage Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(3), pages 967-1015.
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    5. Benjamin Bruns, 2019. "Changes in Workplace Heterogeneity and How They Widen the Gender Wage Gap," American Economic Journal: Applied Economics, American Economic Association, vol. 11(2), pages 74-113, April.
    6. Dauth, Wolfgang & Eppelsheimer, Johann, 2020. "Preparing the sample of integrated labour market biographies (SIAB) for scientific analysis," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 54(1), pages 1-10.
    7. Jesper Bagger & Fran?ois Fontaine & Fabien Postel-Vinay & Jean-Marc Robin, 2014. "Tenure, Experience, Human Capital, and Wages: A Tractable Equilibrium Search Model of Wage Dynamics," American Economic Review, American Economic Association, vol. 104(6), pages 1551-1596, June.
    8. Claudia Goldin, 2014. "A Grand Gender Convergence: Its Last Chapter," American Economic Review, American Economic Association, vol. 104(4), pages 1091-1119, April.
    9. Kate Antonovics & Robert Town, 2004. "Are All the Good Men Married? Uncovering the Sources of the Marital Wage Premium," American Economic Review, American Economic Association, vol. 94(2), pages 317-321, May.
    10. Wolfgang Dauth & Johann Eppelsheimer, 2020. "Preparing the sample of integrated labour market biographies (SIAB) for scientific analysis: a guide," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 54(1), pages 1-14, December.
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    Cited by:

    1. Glogowsky, Ulrich & Hansen, Emanuel & Sachs, Dominik & Lüthen, Holger, 2025. "The evolution of child-related gender inequality in Germany and the role of family policies, 1960–2018," European Economic Review, Elsevier, vol. 175(C).
    2. Mathias Jensen & Abigail Adams & Barbara Petrongolo, 2024. "Birth Timing and Spacing: Implications for Parental Leave Dynamics and Child Penalties," Economics Series Working Papers 1048, University of Oxford, Department of Economics.
    3. Abrahamsson, Sara & Barschkett, Mara & Flatø, Martin, 2025. "Beyond Hot Flashes: The Career Cost of Menopause," IZA Discussion Papers 17789, Institute of Labor Economics (IZA).
    4. Fitzenberger, Bernd & Seidlitz, Arnim, 2024. "Changing Fertility and Heterogeneous Motherhood Effects: Revisiting the Effects of a Parental Benefits Reform," IZA Discussion Papers 16966, Institute of Labor Economics (IZA).

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    More about this item

    Keywords

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    JEL classification:

    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • 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
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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