The role of location in evaluating racial wage disparity
A standard object of empirical analysis in labor economics is a modified Mincer wage function in which an individual's log wage is specified to be a function of education, experience, and an indicator variable identifying race. Researchers hope that estimates from this exercise can be informative about the impact of minority status on labor market success. Here we set out a theoretical justification for this regression in a context in which individuals live and work in different locations. Our model leads to the traditional approach, but with the important caveat that the regression should include location-specific fixed effects. Given this insight, we reevaluate evidence about the black-white wage disparity in the United States.
|Date of creation:||2009|
|Date of revision:|
|Contact details of provider:|| Postal: P.O. Box 442, St. Louis, MO 63166|
Web page: http://www.stlouisfed.org/
More information through EDIRC
|Order Information:|| 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.:
- Dan Black & Natalia Kolesnikova & Lowell Taylor, 2009.
"Earnings Functions When Wages and Prices Vary by Location,"
Journal of Labor Economics,
University of Chicago Press, vol. 27(1), pages 21-47, 01.
- Dan A. Black & Natalia A. Kolesnikova & Lowell J. Taylor, 2007. "Earnings functions when wages and prices vary by location," Working Papers 2007-031, Federal Reserve Bank of St. Louis.
- Harmon, Oskar R., 1988. "The income elasticity of demand for single-family owner-occupied housing: An empirical reconciliation," Journal of Urban Economics, Elsevier, vol. 24(2), pages 173-185, September.
- Amitabh Chandra, 2000. "Labor-Market Dropouts and the Racial Wage Gap: 1940-1990," American Economic Review, American Economic Association, vol. 90(2), pages 333-338, May.
When requesting a correction, please mention this item's handle: RePEc:fip:fedlwp:2009-043. 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: (Anna Xiao)
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.