IDEAS home Printed from https://ideas.repec.org/a/spr/empeco/v46y2014i2p479-499.html
   My bibliography  Save this article

Does supervisor gender affect wages?

Author

Listed:
  • Paul Sicilian
  • Adam Grossberg

Abstract

This paper uses data from the National Longitudinal Survey of Youth, 1979 (NLSY79) and the Current Population Survey to estimate the wage effects of having a female supervisor. Existing studies, using OLS to estimate the supervisor gender effect, find wage penalties for both men and women associated with working for a female supervisor. We extend this research in two important ways. First, we control for gender segregation at job level as opposed to the broader occupation level. This is important because of the concern that supervisor gender is simply a proxy for the gender-type of the job. Second, we apply fixed effects estimation to control for selection effects of supervisor gender. When using OLS we find estimates of the supervisor gender effect similar to those in the existing literature. However, when using fixed effects we find no evidence of a supervisor gender effect for women and only a small, marginally significant effect for men. We conclude that existing OLS estimates overstate the importance of the impact of supervisor gender on wages. Copyright Springer-Verlag Berlin Heidelberg 2014

Suggested Citation

  • Paul Sicilian & Adam Grossberg, 2014. "Does supervisor gender affect wages?," Empirical Economics, Springer, vol. 46(2), pages 479-499, March.
  • Handle: RePEc:spr:empeco:v:46:y:2014:i:2:p:479-499
    DOI: 10.1007/s00181-013-0695-4
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s00181-013-0695-4
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s00181-013-0695-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    References listed on IDEAS

    as
    1. Kevin Lang, 1986. "A Language Theory of Discrimination," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 101(2), pages 363-382.
    2. Carneiro, Pedro & Heckman, James J & Masterov, Dimitriy V, 2005. "Labor Market Discrimination and Racial Differences in Premarket Factors," Journal of Law and Economics, University of Chicago Press, vol. 48(1), pages 1-39, April.
    3. Canton, E.J.F. & Verheul, I., 2009. "Gender Pay Differences in the European Union: Do Higher Wages Make Up For Discrimination?," ERIM Report Series Research in Management ERS-2009-041-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    4. James J. Heckman & Jora Stixrud & Sergio Urzua, 2006. "The Effects of Cognitive and Noncognitive Abilities on Labor Market Outcomes and Social Behavior," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 411-482, July.
    5. Muriel Niederle & Lise Vesterlund, 2007. "Do Women Shy Away From Competition? Do Men Compete Too Much?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1067-1101.
    6. Cameron, A. Colin & Gelbach, Jonah B. & Miller, Douglas L., 2011. "Robust Inference With Multiway Clustering," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(2), pages 238-249.
    7. Melero Martín, Eduardo, 2004. "Sex Differences in Managerial Style: From Individual Leadership to Organisational Labour Relationships," IZA Discussion Papers 1387, Institute of Labor Economics (IZA).
    8. Christopher Avery & Susan Athey & Peter Zemsky, 2000. "Mentoring and Diversity," American Economic Review, American Economic Association, vol. 90(4), pages 765-786, September.
    9. 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.
    10. Ana Rute Cardoso & Rudolf Winter-Ebmer, 2010. "Female-Led Firms and Gender Wage Policies," ILR Review, Cornell University, ILR School, vol. 64(1), pages 143-163, October.
    11. Uri Gneezy & Muriel Niederle & Aldo Rustichini, 2003. "Performance in Competitive Environments: Gender Differences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 1049-1074.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yariv Fadlon & Sophie Tripp, 2022. "The role of supervisor race and gender on promotion likelihood," Economics Bulletin, AccessEcon, vol. 42(3), pages 1280-1294.
    2. Martha Claudia Rodríguez Villalobos & Erick Rangel González, 2015. "¿Tener obesidad es realmente una desventaja en el mercado laboral mexicano?," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 35-62, November.

    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. Grace Lordan & Jörn‐Steffen Pischke, 2022. "Does Rosie Like Riveting? Male and Female Occupational Choices," Economica, London School of Economics and Political Science, vol. 89(353), pages 110-130, January.
    2. Johannes Ludsteck, 2014. "The Impact of Segregation and Sorting on the Gender Wage Gap: Evidence from German Linked Longitudinal Employer-Employee Data," ILR Review, Cornell University, ILR School, vol. 67(2), pages 362-394, April.
    3. David Masclet & Emmanuel Peterle & Sophie Larribeau, 2012. "The Role of Information in Deterring Discrimination: A New Experimental Evidence of Statistical Discrimination," Economics Working Paper Archive (University of Rennes & University of Caen) 201238, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS.
    4. Cody Cook & Rebecca Diamond & Jonathan V Hall & John A List & Paul Oyer, 2021. "The Gender Earnings Gap in the Gig Economy: Evidence from over a Million Rideshare Drivers [Measuring the Gig Economy: Current Knowledge and Open Issues]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(5), pages 2210-2238.
    5. Grund, Christian, 2015. "Gender pay gaps among highly educated professionals — Compensation components do matter," Labour Economics, Elsevier, vol. 34(C), pages 118-126.
    6. Luca Flabbi & Mario Macis & Andrea Moro & Fabiano Schivardi, 2019. "Do Female Executives Make a Difference? The Impact of Female Leadership on Gender Gaps and Firm Performance," The Economic Journal, Royal Economic Society, vol. 129(622), pages 2390-2423.
    7. Eisenkopf, Gerald & Hessami, Zohal & Fischbacher, Urs & Ursprung, Heinrich W., 2015. "Academic performance and single-sex schooling: Evidence from a natural experiment in Switzerland," Journal of Economic Behavior & Organization, Elsevier, vol. 115(C), pages 123-143.
    8. Inés P. Murillo & Hipólito Simón, 2014. "La Gran Recesión y el diferencial salarial por género en España," Hacienda Pública Española / Review of Public Economics, IEF, vol. 208(1), pages 39-76, March.
    9. Ingvild Almås & Alexander W. Cappelen & Kjell G. Salvanes & Erik Ø. Sørensen & Bertil Tungodden, 2016. "Willingness to Compete: Family Matters," Management Science, INFORMS, vol. 62(8), pages 2149-2162, August.
    10. Hahn, Youjin & Islam, Asadul & Patacchini, Eleonora & Zenou, Yves, 2015. "Network Structure and Education Outcomes: Evidence from a Field Experiment in Bangladesh," IZA Discussion Papers 8872, Institute of Labor Economics (IZA).
    11. Jordi Brandts & Valeska Groenert & Christina Rott, 2015. "The Impact of Advice on Women's and Men's Selection into Competition," Management Science, INFORMS, vol. 61(5), pages 1018-1035, May.
    12. C. Simon Fan & Xiangdong Wei & Junsen Zhang, 2017. "Soft Skills, Hard Skills, And The Black/White Wage Gap," Economic Inquiry, Western Economic Association International, vol. 55(2), pages 1032-1053, April.
    13. Etienne Dagorn & David Masclet & Thierry Penard, 2022. "The Behavioral Determinants of School Achievement: A Lab in the Field Experiment in Middle School," Economics Working Paper Archive (University of Rennes & University of Caen) 2022-05, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS.
    14. Berge, Lars Ivar Oppedal & Bjorvatn, Kjetil & Garcia Pires, Armando Jose & Tungodden, Bertil, 2015. "Competitive in the lab, successful in the field?," Journal of Economic Behavior & Organization, Elsevier, vol. 118(C), pages 303-317.
    15. Anja Prummer, "undated". "Discrimination in Promotion," Working Papers 905, Queen Mary University of London, School of Economics and Finance.
    16. Harry J. Holzer & David Neumark, 2006. "Affirmative action: What do we know?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 25(2), pages 463-490.
    17. Forth, John & Theodoropoulos, Nikolaos, 2022. "Earnings Discrimination in the Workplace," IZA Discussion Papers 15357, Institute of Labor Economics (IZA).
    18. Osorio, António (António Miguel), 2019. "Gender differences in competition: gender equality and cost reduction policies," Working Papers 2072/351587, Universitat Rovira i Virgili, Department of Economics.
    19. Bünstorf, Guido & Krabel, Stefan, 2014. "Gender and Immigration: Double Negative Effects in the Labor Market Outcomes of University Graduates in Germany?," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100290, Verein für Socialpolitik / German Economic Association.
    20. Pfeifer, Christian & Cornelißen, Thomas, 2010. "The impact of participation in sports on educational attainment--New evidence from Germany," Economics of Education Review, Elsevier, vol. 29(1), pages 94-103, February.

    More about this item

    Keywords

    Wage determination; NLSY; Gender; Human capital; J24; J30; J31;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

    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:spr:empeco:v:46:y:2014:i:2:p:479-499. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.