IDEAS home Printed from https://ideas.repec.org/a/uwp/jhriss/v48y2013iv1p998-1034.html
   My bibliography  Save this article

Gender Wage Gaps Reconsidered: A Structural Approach Using Matched Employer-Employee Data

Author

Listed:
  • Cristian Bartolucci

Abstract

In this paper, we study the extent to which wage differentials between men and women can be explained by differences in productivity, disparities in friction patterns, segregation, and wage discrimination. For this purpose, we propose an equilibrium search model that features rent-splitting, on-the-job search, and two-sided heterogeneity in productivity. The model is estimated using German matched employer-employee data. Overall, the results reveal that female workers are less productive and more mobile than males. In addition, female workers have on average slightly lower bargaining power than their male counterparts.

Suggested Citation

  • Cristian Bartolucci, 2013. "Gender Wage Gaps Reconsidered: A Structural Approach Using Matched Employer-Employee Data," Journal of Human Resources, University of Wisconsin Press, vol. 48(4), pages 998-1034.
  • Handle: RePEc:uwp:jhriss:v:48:y:2013:iv:1:p:998-1034
    as

    Download full text from publisher

    File URL: http://jhr.uwpress.org/cgi/reprint/48/4/998
    Download Restriction: A subscripton is required to access pdf files. Pay per article is available.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Antonczyk, Dirk & Fitzenberger, Bernd & Sommerfeld, Katrin, 2010. "Rising wage inequality, the decline of collective bargaining, and the gender wage gap," Labour Economics, Elsevier, vol. 17(5), pages 835-847, October.
    2. 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.
    3. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    4. Cristian Bartolucci & Francesco Devicienti, 2012. "Better Workers Move to Better Firms: A Simple Test to Identify Sorting," Carlo Alberto Notebooks 259, Collegio Carlo Alberto.
    5. Alp E. Atakan, 2006. "Assortative Matching with Explicit Search Costs," Econometrica, Econometric Society, vol. 74(3), pages 667-680, May.
    6. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    7. 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..
    8. Alda, Holger & Bender, Stefan & Gartner, Hermann, 2005. "The linked employer-employee dataset of the IAB (LIAB)," IAB-Discussion Paper 200506, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Luca Paolo Merlino & Pierpaolo Parrotta & Dario Pozzoli, 2018. "Gender Differences in Sorting," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 57(4), pages 671-709, October.
    2. Kampelmann, Stephan & Rycx, François, 2012. "The impact of educational mismatch on firm productivity: Evidence from linked panel data," Economics of Education Review, Elsevier, vol. 31(6), pages 918-931.
    3. Astrid Kunze, 2008. "Gender wage gap studies: consistency and decomposition," Empirical Economics, Springer, vol. 35(1), pages 63-76, August.
    4. Rycx, François & Saks, Yves & Tojerow, Ilan, 2016. "Misalignment of Productivity and Wages across Regions? Evidence from Belgian Matched Panel Data," IZA Discussion Papers 10336, Institute of Labor Economics (IZA).
    5. Luca Paolo Merlino & Pierpaolo Parrotta & Dario Pozzoli, 2012. "Assortative Matching Gender," Working Papers ECARES ECARES 2012-040, ULB -- Universite Libre de Bruxelles.
    6. Benjamin Lochner & Bastian Schulz, 2024. "Firm Productivity, Wages, and Sorting," Journal of Labor Economics, University of Chicago Press, vol. 42(1), pages 85-119.
    7. Kaiser, Ulrich & Kongsted, Hans Christian & Rønde, Thomas, 2015. "Does the mobility of R&D labor increase innovation?," Journal of Economic Behavior & Organization, Elsevier, vol. 110(C), pages 91-105.
    8. François Rycx & Yves Saks & Ilan Tojerow, 2015. "Does Education Raise Productivity and Wages Equally? The Moderating Roles of Age, Gender and Industry," Working Paper Research 281, National Bank of Belgium.
    9. Bellmann, Lutz & Pahnke, André, 2006. "Auswirkungen organisatorischen Wandels auf die betriebliche Arbeitsnachfrage (Effects of organisational change on firms' demand for labour)," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 39(2), pages 201-233.
    10. Powdthavee, Nattavudh, 2009. "I can't smile without you: Spousal correlation in life satisfaction," Journal of Economic Psychology, Elsevier, vol. 30(4), pages 675-689, August.
    11. Mendes, Rute & van den Berg, Gerard J. & Lindeboom, Maarten, 2010. "An empirical assessment of assortative matching in the labor market," Labour Economics, Elsevier, vol. 17(6), pages 919-929, December.
    12. Philipp Grunau, 2016. "The impact of overeducated and undereducated workers on establishment-level productivity," International Journal of Manpower, Emerald Group Publishing Limited, vol. 37(2), pages 372-392, May.
    13. Bellmann, Lutz & Pahnke, André, 2006. "Auswirkungen organisatorischen Wandels auf die betriebliche Arbeitsnachfrage (Effects of organisational change on firms' demand for labour)," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 39(2), pages 201-233.
    14. Cristian Bartolucci & Ignacio Monzon, 2014. "Frictions Lead to Sorting: a Partnership Model with On-the-Match Search," Carlo Alberto Notebooks 385, Collegio Carlo Alberto.
    15. Ann-Kathrine Ejsing & Ulrich Kaiser & Hans Christian Kongsted & Keld Laursen, 2013. "The Role of University Scientist Mobility for Industrial Innovation," Working Papers 332, University of Zurich, Department of Business Administration (IBW).
    16. Leland D. Crane, 2014. "Firm Dynamics and Assortative Matching," Working Papers 14-25, Center for Economic Studies, U.S. Census Bureau.
    17. Daniel Ştefan Armeanu & Georgeta Vintilă & Ştefan Cristian Gherghina, 2017. "Empirical Study towards the Drivers of Sustainable Economic Growth in EU-28 Countries," Sustainability, MDPI, vol. 10(1), pages 1-22, December.
    18. Youngho Kang & Byung-Yeon Kim, 2018. "Immigration and economic growth: do origin and destination matter?," Applied Economics, Taylor & Francis Journals, vol. 50(46), pages 4968-4984, October.
    19. Cho, Seo-young & Vadlamannati, Krishna Chaitanya, 2010. "Compliance for big brothers: An empirical analysis on the impact of the anti-trafficking protocol," University of Göttingen Working Papers in Economics 118, University of Goettingen, Department of Economics.
    20. Vieira, Flávio & MacDonald, Ronald & Damasceno, Aderbal, 2012. "The role of institutions in cross-section income and panel data growth models: A deeper investigation on the weakness and proliferation of instruments," Journal of Comparative Economics, Elsevier, vol. 40(1), pages 127-140.

    More about this item

    JEL classification:

    • J70 - Labor and Demographic Economics - - Labor Discrimination - - - General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

    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:uwp:jhriss:v:48:y:2013:iv:1:p:998-1034. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: http://jhr.uwpress.org/ .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.