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The "End of Men" and Rise of Women in the High-Skilled Labor Market

Author

Listed:
  • Guido Matias Cortes
  • Nir Jaimovich
  • Henry E. Siu
Abstract
We document a new finding regarding changes in labor market outcomes for high-skilled men and women in the US. Since 1980, conditional on being a college-educated man, the probability of working in a cognitive/high-wage occupation has fallen. This contrasts starkly with the experience for college-educated women: their probability of working in these occupations rose, despite a much larger increase in the supply of educated women relative to men. We show that one key channel capable of rationalizing these findings is a greater increase in the demand for female-oriented skills in cognitive/high-wage occupations relative to other occupations. Using occupation-level data, we find evidence that this relative increase in the demand for female skills is due to an increasing importance of social skills within such occupations. Evidence from both male and female wages is also indicative of an increase in the demand for social skills. Finally, we document how these patterns change across the early and latter portions of the period.

Suggested Citation

  • Guido Matias Cortes & Nir Jaimovich & Henry E. Siu, 2018. "The "End of Men" and Rise of Women in the High-Skilled Labor Market," NBER Working Papers 24274, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:24274
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    References listed on IDEAS

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    1. Patricia Cortés & José Tessada, 2011. "Low-Skilled Immigration and the Labor Supply of Highly Skilled Women," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 88-123, July.
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    7. Francine Blau & Peter Brummund & Albert Liu, 2013. "Trends in Occupational Segregation by Gender 1970–2009: Adjusting for the Impact of Changes in the Occupational Coding System," Demography, Springer;Population Association of America (PAA), vol. 50(2), pages 471-492, April.
    8. Juhn, Chinhui & Ujhelyi, Gergely & Villegas-Sanchez, Carolina, 2014. "Men, women, and machines: How trade impacts gender inequality," Journal of Development Economics, Elsevier, vol. 106(C), pages 179-193.
    9. Peter B. Meyer & Anastasiya M. Osborne, 2005. "Proposed Category System for 1960-2000 Census Occupations," Working Papers 383, U.S. Bureau of Labor Statistics.
    10. Maarten Goos & Alan Manning, 2007. "Lousy and Lovely Jobs: The Rising Polarization of Work in Britain," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 118-133, February.
    11. Francine Blau & Peter Brummund & Albert Liu, 2013. "Erratum to: Trends in Occupational Segregation by Gender 1970–2009: Adjusting for the Impact of Changes in the Occupational Coding System," Demography, Springer;Population Association of America (PAA), vol. 50(2), pages 493-494, April.
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    Cited by:

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    3. Anna Matysiak & Wojciech Hardy & Lucas van der Velde, 2023. "Structural Labour Market Change and Gender Inequality in Earnings," Working Papers 2023-12, Faculty of Economic Sciences, University of Warsaw.
    4. repec:spo:wpmain:info:hdl:2441/4igrl22i129kl9t3bjsriribbs is not listed on IDEAS
    5. Sonia Bhalotra & Martin Karlsson & Therese Nilsson & Nina Schwarz, 2022. "Infant Health, Cognitive Performance, and Earnings: Evidence from Inception of the Welfare State in Sweden," The Review of Economics and Statistics, MIT Press, vol. 104(6), pages 1138-1156, November.
    6. Jaimovich, Nir & Saporta-Eksten, Itay & Siu, Henry & Yedid-Levi, Yaniv, 2021. "The macroeconomics of automation: Data, theory, and policy analysis," Journal of Monetary Economics, Elsevier, vol. 122(C), pages 1-16.
    7. Alonzo, Davide & Gallipoli, Giovanni, 2023. "The Changing Value of Employment and Its Implications," CEPR Discussion Papers 17943, C.E.P.R. Discussion Papers.
    8. repec:hal:spmain:info:hdl:2441/4igrl22i129kl9t3bjsriribbs is not listed on IDEAS
    9. Kovalenko, Tim & Töpfer, Marina, 2021. "Cyclical dynamics and the gender pay gap: A structural VAR approach," Economic Modelling, Elsevier, vol. 99(C).
    10. Verdugo, Gregory & Allègre, Guillaume, 2020. "Labour force participation and job polarization: Evidence from Europe during the Great Recession," Labour Economics, Elsevier, vol. 66(C).
    11. Atalay, Enghin & Phongthiengtham, Phai & Sotelo, Sebastian & Tannenbaum, Daniel, 2018. "New technologies and the labor market," Journal of Monetary Economics, Elsevier, vol. 97(C), pages 48-67.
    12. Devereux, Kevin, 2018. "Identifying the value of teamwork: Application to professional tennis," CLEF Working Paper Series 14, Canadian Labour Economics Forum (CLEF), University of Waterloo.
    13. Marcin Chlebus & Artur Nowak, 2023. "From Alchemy to Analytics: Unleashing the Potential of Technical Analysis in Predicting Noble Metal Price Movement," Working Papers 2023-13, Faculty of Economic Sciences, University of Warsaw.
    14. Giovanni Gallipoli & Khalil Esmkhani & Michael Böhm, 2019. "Skill-Biased Firms and the Distribution of Labor Market Returns," 2019 Meeting Papers 1199, Society for Economic Dynamics.

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    More about this item

    JEL classification:

    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand

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