Advanced Search
MyIDEAS: Login to save this article or follow this journal

A test of screening discrimination with employer learning

Contents:

Author Info

  • Joshua C. Pinkston

Abstract

This paper tests for the presence of screening discrimination, a type of statistical discrimination that occurs when employers are less able to evaluate the ability of workers from one group than from another. Using data from the 2000 release of the NLSY79, the author examines wage equations in a framework of employer learning to test the hypothesis that the market receives less reliable productivity signals at labor market entry from black men than from white men. The estimation results support this hypothesis. Variables that are difficult for employers to observe, such as the AFQT score, had less influence on the wages of black men (and easily observed variables had more influence) than on the wages of white men. The influence of hard-to-observe variables on wages, however, increased faster with experience for black men. (Free full-text download available at http://digitalcommons.ilr.cornell.edu/ilrreview/.)

Download Info

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.

Bibliographic Info

Article provided by ILR Review, Cornell University, ILR School in its journal ILR Review.

Volume (Year): 59 (2006)
Issue (Month): 2 (January)
Pages: 267-284

as in new window
Handle: RePEc:ilr:articl:v:59:y:2006:i:2:p:267-284

Contact details of provider:
Fax: 607-255-8016
Web page: http://www.ilr.cornell.edu/ilrreview/
More information through EDIRC

Order Information:
Postal: 381 Ives East, Cornell University, Ithaca, NY 14853-3901
Email:
Web: http://digitalcommons.ilr.cornell.edu/ilrreview/

Related research

Keywords:

References

No references listed on IDEAS
You can help add them by filling out this form.

Citations

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

Cited by:
  1. Seik Kim & Emiko Usui, 2012. "Employer Learning, Job Changes, and Wage Dynamics," Working Papers UWEC-2012-01, University of Washington, Department of Economics.
  2. Pinkston, Joshua C., 2003. "Screening discrimination and the determinants of wages," Labour Economics, Elsevier, vol. 10(6), pages 643-658, December.
  3. Light, Audrey & McGee, Andrew, 2012. "Employer Learning and the "Importance" of Skills," IZA Discussion Papers 6623, Institute for the Study of Labor (IZA).
  4. Hensvik, Lena & Nordström Skans, Oskar, 2013. "Social networks, employee selection and labor market outcomes," Working Paper Series 2013:15, IFAU - Institute for Evaluation of Labour Market and Education Policy.
  5. Emiko Usui & Seik Kim, 2013. "Employer Learning, Job Mobility, and Wage Dynamics," 2013 Meeting Papers 912, Society for Economic Dynamics.
  6. ZHANGALIYEVA, Aigerim & NAKABAYASHI, Masaki, 2013. "Heritage from Czar: The Russian Dual System of Schooling and Signaling," ISS Discussion Paper Series (series F) f163, Institute of Social Science, The University of Tokyo.

Lists

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

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:ilr:articl:v:59:y:2006:i:2:p:267-284. 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: (ILR Review).

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.