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Equal matches are only half the story: Why German female graduates earn 27 % less than males

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  • Boll, Christina
  • Leppin, Julian Sebastian

Abstract

Germany's occupational and sectoral change towards a knowledge-based economy calls for high returns on education. Nevertheless, female graduates are paid much less than their male counterparts. We find an overall unadjusted gender pay gap among German graduates of 27 %. This corresponds to an approximate wage gap of 32.5 % thereof 20,3 % account for different endowments and 12,2 % for different remunerations of characteristics. Suboptimal job matches of females tied in family and partner contexts are supposed to account for at least part of the gendered wage drift. But overeducation does not matter in this regard. Instead, females earn 4 % less because they work on jobs with fewer years of required education. Furthermore, solely males are granted breadwinner wage premiums and only men successfully avoid wage cuts when reducing working hours. We conclude that the price effect of the gap reflects employers' attributions of gender stereotypes, gendered work attitudes as well as noticeable unobserved heterogeneity within and between sexes.

Suggested Citation

  • Boll, Christina & Leppin, Julian Sebastian, 2013. "Equal matches are only half the story: Why German female graduates earn 27 % less than males," HWWI Research Papers 138, Hamburg Institute of International Economics (HWWI).
  • Handle: RePEc:zbw:hwwirp:138
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    1. Davia, Maria A. & McGuinness, Seamus & O'Connell, Philip J., 2010. "Explaining International Differences in Rates of Overeducation in Europe," Papers WP365, Economic and Social Research Institute (ESRI).
    2. Leuven, Edwin & Oosterbeek, Hessel, 2011. "Overeducation and Mismatch in the Labor Market," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 4, chapter 0, pages 283-326, Elsevier.
    3. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    4. Frank, Robert H, 1978. "Why Women Earn Less: The Theory and Estimation of Differential Overqualification," American Economic Review, American Economic Association, vol. 68(3), pages 360-373, June.
    5. Jensen, Uwe & Gartner, Hermann & Rässler, Susanne, 2006. "Measuring overeducation with earnings frontiers and multiply imputed censored income data," IAB-Discussion Paper 200611, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. Groot, Wim & Maassen van den Brink, Henriette, 2000. "Overeducation in the labor market: a meta-analysis," Economics of Education Review, Elsevier, vol. 19(2), pages 149-158, April.
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    Cited by:

    1. Daniel Erdsiek, 2016. "Overqualification of graduates: assessing the role of family background [Überqualifikation von Hochschulabsolventen: Welche Rolle spielt der familiäre Hintergrund?]," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 49(3), pages 253-268, November.
    2. Carolina Castagnetti & Luisa Rosti & Marina Toepfer, 2017. "Overeducation and the Gender Pay Gap in Italy. A Double Selectivity Approach," DEM Working Papers Series 144, University of Pavia, Department of Economics and Management.
    3. Nancy Kracke & Malte Reichelt & Basha Vicari, 2018. "Wage Losses Due to Overqualification: The Role of Formal Degrees and Occupational Skills," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(3), pages 1085-1108, October.
    4. Kracke, Nancy & Reichelt, Malte & Vicari, Basha, 2017. "Wage losses due to overqualification: The role of formal degrees and occupational skills," IAB-Discussion Paper 201710, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

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    More about this item

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

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