IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Skin Tone's Decreasing Importance on Employment: Evidence from a Longitudinal Dataset, 1985-2000

  • Akee, Randall K. Q.

    ()

    (University of California, Los Angeles)

  • Yuksel, Mutlu

    ()

    (Dalhousie University)

We investigate the effect of skin tone on employment probabilities in a longitudinal data set. Using an objective measure of skin tone from a light-spectrometer and a self-reported measure of race we find that over time the effect of skin tone on employment has diminished. These results hold both across the white and African-American samples as well as within the African-American sample itself with regard to skin tone. Further investigation indicates that all of the gains can be attributed to African-American women; there are no changes in the employment probabilities for African-American men in the 15 year panel data. We find that the expansion of employment for women is concentrated in the services occupations.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://ftp.iza.org/dp5120.pdf
Download Restriction: no

Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 5120.

as
in new window

Length: 39 pages
Date of creation: Aug 2010
Date of revision:
Handle: RePEc:iza:izadps:dp5120
Contact details of provider: Postal: IZA, P.O. Box 7240, D-53072 Bonn, Germany
Phone: +49 228 3894 223
Fax: +49 228 3894 180
Web page: http://www.iza.org

Order Information: Postal: IZA, Margard Ody, P.O. Box 7240, D-53072 Bonn, Germany
Email:


References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. O'Neill, June & Polachek, Solomon, 1993. "Why the Gender Gap in Wages Narrowed in the 1980s," Journal of Labor Economics, University of Chicago Press, vol. 11(1), pages 205-28, January.
  2. Derek A. Neal & William R. Johnson, 1995. "The Role of Pre-Market Factors in Black-White Wage Differences," NBER Working Papers 5124, National Bureau of Economic Research, Inc.
  3. Casey B. Mulligan & Yona Rubinstein, 2005. "Selection, Investment, and Women's Relative Wages Since 1975," NBER Working Papers 11159, National Bureau of Economic Research, Inc.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp5120. 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: (Mark Fallak)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.