IDEAS home Printed from https://ideas.repec.org/a/sae/ilrrev/v49y1996i2p317-329.html
   My bibliography  Save this article

Does the Level of Occupational Aggregation Affect Estimates of the Gender Wage Gap?

Author

Listed:
  • Michael P. Kidd
  • Michael Shannon

Abstract

The traditional decomposition of the gender wage gap distinguishes between a component attributable to gender differences in productivity-related characteristics and a residual component that is often taken as a measure of discrimination. This study of data from the 1989 Canadian Labour Market Activity Survey shows that when occupation is treated as a productivity-related characteristic, the proportion of the gender wage gap labeled explained increases with the number of occupational classifications distinguished. However, on the basis of evidence that occupational differences reflect the presence of barriers faced by women attempting to enter male-dominated occupations, the authors conclude that occupation should not be treated as a productivity-related characteristic; and in a decomposition of the gender wage gap that treats occupation as endogenously determined, they find that the level of occupational aggregation has little effect on the size of the “explained†component of the gap.

Suggested Citation

  • Michael P. Kidd & Michael Shannon, 1996. "Does the Level of Occupational Aggregation Affect Estimates of the Gender Wage Gap?," ILR Review, Cornell University, ILR School, vol. 49(2), pages 317-329, January.
  • Handle: RePEc:sae:ilrrev:v:49:y:1996:i:2:p:317-329
    as

    Download full text from publisher

    File URL: http://ilr.sagepub.com/content/49/2/317.abstract
    Download Restriction: no

    Citations

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


    Cited by:

    1. Christian Pfeifer & Tatjana Sohr, 2009. "Analysing the Gender Wage Gap (GWG) Using Personnel Records," LABOUR, CEIS, vol. 23(2), pages 257-282, June.
    2. Cobb-Clark, Deborah A. & Tan, Michelle, 2011. "Noncognitive skills, occupational attainment, and relative wages," Labour Economics, Elsevier, vol. 18(1), pages 1-13, January.
    3. Eric J. Solberg, 2005. "The Gender Pay Gap by Occupation: A Test of the Crowding Hypothesis," Contemporary Economic Policy, Western Economic Association International, vol. 23(1), pages 129-148, January.
    4. Orraca Romano, Pedro Paulo, 2016. "Essays on development and labour economics for Mexico," Economics PhD Theses 0816, Department of Economics, University of Sussex Business School.
    5. Lin Xiu & Morley Gunderson, 2015. "Occupational segregation and the gender earnings gap in China: devils in the details," International Journal of Manpower, Emerald Group Publishing, vol. 36(5), pages 711-732, August.
    6. Kapsos, Steven., 2008. "The gender wage gap in Bangladesh," ILO Working Papers 994134173402676, International Labour Organization.
    7. Pedro Orraca & Francisco Javier Cabrera & Gustavo Iriarte, 2016. "The gender wage gap and occupational segregation in the Mexican labour market," EconoQuantum, Revista de Economia y Negocios, Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas, Departamento de Metodos Cuantitativos y Maestria en Economia., vol. 13(1), pages 51-72, Enero-Jun.
    8. repec:eee:labchp:v:3:y:1999:i:pc:p:3143-3259 is not listed on IDEAS

    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:sae:ilrrev:v:49:y:1996:i:2:p:317-329. 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: (SAGE Publications). General contact details of provider: http://www.ilr.cornell.edu .

    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.

    We have no references for this item. You can help adding them by using 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.