IDEAS home Printed from https://ideas.repec.org/a/aea/aecrev/v101y2011i3p588-92.html
   My bibliography  Save this article

Applying Fixed Effects to Hierarchical Segregation Models

Author

Listed:
  • Dina Shatnawi
  • Ronald Oaxaca
  • Michael Ransom

Abstract

This paper expands the empirical implementation of hierarchical segregation models to allow for the use of panel methods. We use firm level data collected between 1977 and 1985 from a regional grocery store that faced a title VII class-action lawsuit over gender discrimination much the same as Wal-Mart and Costco. Special problems arise in implementing decompositions in a fixed effects and random effects setting, especially when analyzing wage-level differences. We develop a variation of wage decompositions that takes into consideration an unbalanced design and extends the literature by explicitly formalizing the inclusion of the unobserved heterogeneous effects.

Suggested Citation

  • Dina Shatnawi & Ronald Oaxaca & Michael Ransom, 2011. "Applying Fixed Effects to Hierarchical Segregation Models," American Economic Review, American Economic Association, vol. 101(3), pages 588-592, May.
    • Handle: RePEc:aea:aecrev:v:101:y:2011:i:3:p:588-92
    as

    Download full text from publisher

    File URL: http://www.aeaweb.org/articles.php?doi=10.1257/aer.101.3.588
    Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.
    ---><---

    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. 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.
    2. Baldwin, Marjorie L & Butler, Richard J & Johnson, William G, 2001. "A Hierarchical Theory of Occupational Segregation and Wage Discrimination," Economic Inquiry, Western Economic Association International, vol. 39(1), pages 94-110, January.
    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. Michael Ransom & Ronald L. Oaxaca, 2005. "Intrafirm Mobility and Sex Differences in Pay," ILR Review, Cornell University, ILR School, vol. 58(2), pages 219-237, January.
    2. Jung, SeEun & Choe, Chung & Oaxaca, Ronald L., 2018. "Gender wage gaps and risky vs. secure employment: An experimental analysis," Labour Economics, Elsevier, vol. 52(C), pages 112-121.
    3. Anjan Ray Chaudhury & Madhabendra Sinha, 2020. "Does Education Produce Identical Labour Market Outcomes for All? A Study on India," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 14(3), pages 309-331, August.
    4. Nicole M. Fortin & Michael Huberman, 2002. "Occupational Gender Segregation and Women's Wages in Canada: An Historical Perspective," Canadian Public Policy, University of Toronto Press, vol. 28(s1), pages 11-39, May.
    5. 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.
    6. Michelle Gosse & Siva Ganesh, 2004. "The gender pay gap and the importance of job size: Evidence from the New Zealand public service," New Zealand Economic Papers, Taylor & Francis Journals, vol. 38(1), pages 101-118.
    7. Thomas Dohmen & Hartmut Lehmann & Anzelika Zaiceva, 2008. "The Gender Earnings Gap inside a Russian Firm: First Evidence from Personnel Data - 1997 to 2002 ; Updated Version," ESCIRRU Working Papers 6, DIW Berlin, German Institute for Economic Research.
    8. Iga Magda & Ewa Cukrowska-Torzewska, 2019. "Gender wage gap in the workplace: Does the age of the firm matter?," IBS Working Papers 01/2019, Instytut Badan Strukturalnych.
    9. Sami Napari, 2008. "The Early‐career Gender Wage Gap among University Graduates in the Finnish Private Sector," LABOUR, CEIS, vol. 22(4), pages 697-733, December.
    10. François Rycx & Ilan Tojerow, 2004. "Rent sharing and the gender wage gap in Belgium," International Journal of Manpower, Emerald Group Publishing Limited, vol. 25(3/4), pages 279-299, April.
    11. Sergio Scicchitano, 2014. "The gender wage gap among Spanish managers," International Journal of Manpower, Emerald Group Publishing Limited, vol. 35(3), pages 327-344, May.
    12. J. Michelle Brock & Ralph De Haas, 2023. "Discriminatory Lending: Evidence from Bankers in the Lab," American Economic Journal: Applied Economics, American Economic Association, vol. 15(2), pages 31-68, April.
    13. 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]," Review of Economic Studies, Oxford University Press, vol. 88(5), pages 2210-2238.
    14. Grund, Christian, 2015. "Gender pay gaps among highly educated professionals — Compensation components do matter," Labour Economics, Elsevier, vol. 34(C), pages 118-126.
    15. Pilar González & Maria Clementina Santos & Luís Delfim Santos, 2005. "The Gender Wage Gap in Portugal: Recent Evolution and Decomposition," CEF.UP Working Papers 0505, Universidade do Porto, Faculdade de Economia do Porto.
    16. Marco Biagetti & Sergio Scicchitano, 2016. "Are women in supervisory positions more discriminated against? A multinomial approach," Working Papers 2, Department of the Treasury, Ministry of the Economy and of Finance.
    17. Astrid Kunze, 2008. "Gender wage gap studies: consistency and decomposition," Empirical Economics, Springer, vol. 35(1), pages 63-76, August.
    18. Nikolaos Theodoropoulos & John Forth & Alex Bryson, 2019. "Are Women Doing It For Themselves? Gender Segregation and the Gender Wage Gap," DoQSS Working Papers 19-07, Quantitative Social Science - UCL Social Research Institute, University College London.
    19. Matthew Gentzkow & Jesse M. Shapiro & Matt Taddy, 2019. "Measuring Group Differences in High‐Dimensional Choices: Method and Application to Congressional Speech," Econometrica, Econometric Society, vol. 87(4), pages 1307-1340, July.
    20. 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.

    More about this item

    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:aea:aecrev:v:101:y:2011:i:3:p:588-92. 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: Michael P. Albert (email available below). General contact details of provider: https://edirc.repec.org/data/aeaaaea.html .

    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.