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The Diverging Trends of Male and Female Bottom Earnings in Germany

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Listed:
  • Coschignano, Eliana

    (RWI)

  • Jessen, Robin

    (RWI)

Abstract

Men at the bottom quintile of the German male earnings distribution had lower average earnings in 2019 than in 2001. In contrast, female earnings have increased throughout the distribution. What explains these diverging trends and how did they translate into changes in net income? Data from the Socio-Economic Panel (SOEP) reveal that the drop in bottom male earnings is mostly due to a decrease in work hours, while hours worked of females with low earnings have increased. Changes in socio-demographic characteristics explain little of the evolution of income inequality. Households and the welfare state have cushioned much of low-earning men's income drop, while disposable incomes of women have increased by less than their earnings. Finally, earnings poverty is persistent: About half of individuals in the bottom quintile are still in the bottom quintile after five years.

Suggested Citation

  • Coschignano, Eliana & Jessen, Robin, 2024. "The Diverging Trends of Male and Female Bottom Earnings in Germany," IZA Discussion Papers 17567, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp17567
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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.
    2. Martin Biewen & Martin Ungerer & Max Löffler, 2019. "Why Did Income Inequality in Germany Not Increase Further After 2005?," German Economic Review, Verein für Socialpolitik, vol. 20(4), pages 471-504, November.
    3. DiNardo, John & Fortin, Nicole M & Lemieux, Thomas, 1996. "Labor Market Institutions and the Distribution of Wages, 1973-1992: A Semiparametric Approach," Econometrica, Econometric Society, vol. 64(5), pages 1001-1044, September.
    4. Fortin, Nicole & Lemieux, Thomas & Firpo, Sergio, 2011. "Decomposition Methods in Economics," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 1, pages 1-102, Elsevier.
    5. 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.
    6. Robin Jessen, 2019. "Why has Income Inequality in Germany Increased From 2002 to 2011? A Behavioral Microsimulation Decomposition," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 65(3), pages 540-560, September.
    7. Blundell, Richard & Graber, Michael & Mogstad, Magne, 2015. "Labor income dynamics and the insurance from taxes, transfers, and the family," Journal of Public Economics, Elsevier, vol. 127(C), pages 58-73.
    8. Mario Bossler & Thorsten Schank, 2023. "Wage Inequality in Germany after the Minimum Wage Introduction," Journal of Labor Economics, University of Chicago Press, vol. 41(3), pages 813-857.
    9. Fatih Guvenen & Luigi Pistaferri & Giovanni L. Violante, 2022. "Global trends in income inequality and income dynamics: New insights from GRID," Quantitative Economics, Econometric Society, vol. 13(4), pages 1321-1360, November.
    10. Charlotte Bartels & Timm Bönke, 2013. "Can Households And Welfare States Mitigate Rising Earnings Instability?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59(2), pages 250-282, June.
    11. Nicola Fuchs-Schuendeln & Dirk Krueger & Mathias Sommer, 2010. "Inequality Trends for Germany in the Last Two Decades: A Tale of Two Countries," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 13(1), pages 103-132, January.
    12. Christian Dustmann & Johannes Ludsteck & Uta Schönberg, 2009. "Revisiting the German Wage Structure," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(2), pages 843-881.
    13. De Nardi, Mariacristina & Fella, Giulio & Knoef, Marike & Paz-Pardo, Gonzalo & Van Ooijen, Raun, 2021. "Family and government insurance: Wage, earnings, and income risks in the Netherlands and the U.S," Journal of Public Economics, Elsevier, vol. 193(C).
    14. Andreas Peichl & Nico Pestel & Hilmar Schneider, 2012. "Does Size Matter? The Impact Of Changes In Household Structure On Income Distribution In Germany," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 58(1), pages 118-141, March.
    15. Florian Hoffmann & David S. Lee & Thomas Lemieux, 2020. "Growing Income Inequality in the United States and Other Advanced Economies," Journal of Economic Perspectives, American Economic Association, vol. 34(4), pages 52-78, Fall.
    16. Martin Biewen & Andos Juhasz, 2012. "Understanding Rising Income Inequality in Germany, 1999/2000–2005/2006," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 58(4), pages 622-647, December.
    17. Olivier Bargain, 2012. "Decomposition analysis of distributive policies using behavioural simulations," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 19(5), pages 708-731, October.
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    More about this item

    Keywords

    income inequality; earnings inequality; working hours; decomposition;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs

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