IDEAS home Printed from https://ideas.repec.org/p/hal/cesptp/hal-01687343.html
   My bibliography  Save this paper

Gender Differences in Sorting

Author

Listed:
  • Luca Paolo Merlino

    () (CES - Centre d'économie de la Sorbonne - UP1 - Université Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, Universiteit Antwerpen [Antwerpen])

  • Dario Pozzoli

    (CBS - Copenhagen Business School [Copenhagen])

  • Pierpaolo Parrotta

    (BETA - Bureau d'Économie Théorique et Appliquée - INRA - Institut National de la Recherche Agronomique - UNISTRA - Université de Strasbourg - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique)

Abstract

In this paper, we investigate gender differences in workers' career development within and outside the firm to explain the existence of gender wage gaps. Using Danish employer-employee matched data, we find that good female workers are more likely to move to better firms than men but are less likely to be promoted. Furthermore, these differences in career advancement widen after the first child is born. Our findings suggest that career impediments in certain firms cause the most productive female workers to seek better jobs in firms where there is less gender bias.

Suggested Citation

  • Luca Paolo Merlino & Dario Pozzoli & Pierpaolo Parrotta, 2018. "Gender Differences in Sorting," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01687343, HAL.
  • Handle: RePEc:hal:cesptp:hal-01687343
    Note: View the original document on HAL open archive server: https://hal.archives-ouvertes.fr/hal-01687343
    as

    Download full text from publisher

    File URL: https://hal.archives-ouvertes.fr/hal-01687343/document
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Douglas A. Webber, 2016. "Firm-Level Monopsony and the Gender Pay Gap," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 55(2), pages 323-345, April.
    2. Robert Shimer & Lones Smith, 2000. "Assortative Matching and Search," Econometrica, Econometric Society, vol. 68(2), pages 343-370, March.
    3. Joshua D. Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 69-85, Fall.
    4. David Card & Jörg Heining & Patrick Kline, 2013. "Workplace Heterogeneity and the Rise of West German Wage Inequality," The Quarterly Journal of Economics, Oxford University Press, vol. 128(3), pages 967-1015.
    5. Judith K. Hellerstein & David Neumark, 2008. "Workplace Segregation in the United States: Race, Ethnicity, and Skill," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 459-477, August.
    6. Pierre Cahuc & Fabien Postel-Vinay & Jean-Marc Robin, 2006. "Wage Bargaining with On-the-Job Search: Theory and Evidence," Econometrica, Econometric Society, vol. 74(2), pages 323-364, March.
    7. James Albrecht & Susan Vroman, 2002. "A Matching Model with Endogenous Skill Requirements," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 43(1), pages 283-305, February.
    8. Muthoo,Abhinay, 1999. "Bargaining Theory with Applications," Cambridge Books, Cambridge University Press, number 9780521576475, October.
    9. Mona Larsen & Peder J. Pedersen, 2008. "Pathways to early retirement in Denmark, 1984-2000," International Journal of Manpower, Emerald Group Publishing, vol. 29(5), pages 384-409, August.
    10. L. Rachel Ngai & Barbara Petrongolo, 2017. "Gender Gaps and the Rise of the Service Economy," American Economic Journal: Macroeconomics, American Economic Association, vol. 9(4), pages 1-44, October.
    11. Andrea Ichino & Enrico Moretti, 2009. "Biological Gender Differences, Absenteeism, and the Earnings Gap," American Economic Journal: Applied Economics, American Economic Association, vol. 1(1), pages 183-218, January.
    12. Bagger, Jesper & Sørensen, Kenneth L. & Vejlin, Rune, 2013. "Wage sorting trends," Economics Letters, Elsevier, vol. 118(1), pages 63-67.
    13. John M. Abowd & Francis Kramarz & David N. Margolis, 1999. "High Wage Workers and High Wage Firms," Econometrica, Econometric Society, vol. 67(2), pages 251-334, March.
    14. Marcus Hagedorn & Tzuo Hann Law & Iourii Manovskii, 2017. "Identifying Equilibrium Models of Labor Market Sorting," Econometrica, Econometric Society, vol. 85, pages 29-65, January.
    15. Bent Jesper Christensen & Rasmus Lentz & Dale T. Mortensen & George R. Neumann & Axel Werwatz, 2005. "On-the-Job Search and the Wage Distribution," Journal of Labor Economics, University of Chicago Press, vol. 23(1), pages 31-58, January.
    16. David Card & Ana Rute Cardoso & Patrick Kline, 2016. "Bargaining, Sorting, and the Gender Wage Gap: Quantifying the Impact of Firms on the Relative Pay of Women," The Quarterly Journal of Economics, Oxford University Press, vol. 131(2), pages 633-686.
    17. Jan Eeckhout & Philipp Kircher, 2011. "Identifying Sorting--In Theory," Review of Economic Studies, Oxford University Press, vol. 78(3), pages 872-906.
    18. Bartolucci, Cristian & Devicienti, Francesco & Monzón, Ignacio, 2015. "Identifying Sorting in Practice," IZA Discussion Papers 9411, Institute for the Study of Labor (IZA).
    19. Jesper Bagger & Rasmus Lentz, 2008. "An Equilibrium Model of Wage Dispersion with Sorting," 2008 Meeting Papers 271, Society for Economic Dynamics.
    20. Merlino, Luca Paolo, 2016. "Efficient Sorting In Frictional Labor Markets With Two-Sided Heterogeneity," Macroeconomic Dynamics, Cambridge University Press, vol. 20(01), pages 95-119, January.
    21. Alan Manning & Farzad Saidi, 2010. "Understanding the Gender Pay Gap: What's Competition Got to Do with it?," ILR Review, Cornell University, ILR School, vol. 63(4), pages 681-698, July.
    22. Boris Hirsch, 2016. "Gender wage discrimination," IZA World of Labor, Institute for the Study of Labor (IZA), pages 310-310, November.
    23. Cristian Bartolucci & Francesco Devicienti, 2012. "Better Workers Move to Better Firms: A Simple Test to Identify Sorting," Carlo Alberto Notebooks 259, Collegio Carlo Alberto.
    24. George-Levi Gayle & Limor Golan & Robert A. Miller, 2012. "Gender Differences in Executive Compensation and Job Mobility," Journal of Labor Economics, University of Chicago Press, vol. 30(4), pages 829-872.
    25. Shaw, Kathryn & Lazear, Edward P., 2008. "Tenure and output," Labour Economics, Elsevier, vol. 15(4), pages 704-723, August.
    26. Fane Groes & Philipp Kircher & Iourii Manovskii, 2015. "The U-Shapes of Occupational Mobility," Review of Economic Studies, Oxford University Press, vol. 82(2), pages 659-692.
    27. Becker, Gary S, 1973. "A Theory of Marriage: Part I," Journal of Political Economy, University of Chicago Press, vol. 81(4), pages 813-846, July-Aug..
    28. Nina Smith & Valdemar Smith & Mette Verner, 2013. "Why are So Few Females Promoted into CEO and Vice President Positions? Danish Empirical Evidence, 1997–2007," ILR Review, Cornell University, ILR School, vol. 66(2), pages 380-408, April.
    29. Abowd, John M. & Kramarz, Francis, 2003. "The costs of hiring and separations," Labour Economics, Elsevier, vol. 10(5), pages 499-530, October.
    30. Ackerberg, Daniel & Caves, Kevin & Frazer, Garth, 2006. "Structural identification of production functions," MPRA Paper 38349, University Library of Munich, Germany.
    31. repec:fth:prinin:455 is not listed on IDEAS
    32. Kimberly Bayard & Judith Hellerstein & David Neumark & Kenneth Troske, 2003. "New Evidence on Sex Segregation and Sex Differences in Wages from Matched Employee-Employer Data," Journal of Labor Economics, University of Chicago Press, vol. 21(4), pages 887-922, October.
    33. Patrick Legros & Andrew F. Newman, 2002. "Monotone Matching in Perfect and Imperfect Worlds," Review of Economic Studies, Oxford University Press, vol. 69(4), pages 925-942.
    34. Merlino, Luca Paolo, 2012. "Discrimination, technology and unemployment," Labour Economics, Elsevier, vol. 19(4), pages 557-567.
    35. John M. Abowd & Robert H. Creecy & Francis Kramarz, 2002. "Computing Person and Firm Effects Using Linked Longitudinal Employer-Employee Data," Longitudinal Employer-Household Dynamics Technical Papers 2002-06, Center for Economic Studies, U.S. Census Bureau.
    36. Antonio Filippin & Jan C. Ours, 2015. "Positive Assortative Matching: Evidence from Sports Data," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 54(3), pages 401-421, July.
    37. Lazear, Edward P & Rosen, Sherwin, 1990. "Male-Female Wage Differentials in Job Ladders," Journal of Labor Economics, University of Chicago Press, vol. 8(1), pages 106-123, January.
    38. Nina Smith & Valdemar Smith & Mette Verne, 2011. "The gender pay gap in top corporate jobs in Denmark: Glass ceilings, sticky floors or both?," International Journal of Manpower, Emerald Group Publishing, vol. 32(2), pages 156-177, May.
    39. Alp E. Atakan, 2006. "Assortative Matching with Explicit Search Costs," Econometrica, Econometric Society, vol. 74(3), pages 667-680, May.
    40. Pierpaolo Parrotta & Dario Pozzoli, 2012. "The effect of learning by hiring on productivity," RAND Journal of Economics, RAND Corporation, vol. 43(1), pages 167-185, March.
    41. Nabanita Datta Gupta & Nina Smith & Mette Verner, 2008. "PERSPECTIVE ARTICLE: The impact of Nordic countries’ family friendly policies on employment, wages, and children," Review of Economics of the Household, Springer, vol. 6(1), pages 65-89, March.
    42. Joshua Angrist & Alan Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Working Papers 834, Princeton University, Department of Economics, Industrial Relations Section..
    43. Booth, Alison L. & Francesconi, Marco & Frank, Jeff, 2003. "A sticky floors model of promotion, pay, and gender," European Economic Review, Elsevier, vol. 47(2), pages 295-322, April.
    44. Sattinger, Michael, 1995. "Search and the Efficient Assignment of Workers to Jobs," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 36(2), pages 283-302, May.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Sorting; Assortative Matching; Gender Gap;

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:cesptp:hal-01687343. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (CCSD). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.