Advanced Search
MyIDEAS: Login

On the Ranking Uncertainty of Labor Market Wage Gaps

Contents:

Author Info

  • William C. Horrace

    (University of Arizona)

Abstract

This paper uses multiple comparison methods to perform inference on labor market wage gap estimates from a regression model of wage determination. The regression decomposes a sample of workers' wages into a human capital component and a gender specific component; the gender component is called the gender differential or wage gap and is sometimes interpreted as a measure of sexual discrimination. Using data on fourteen industry classifications (e.g. retail sales, agriculture), a new relative estimator of the wage gap is calculated for each industry. The industries are then ranked based on the magnitude of these estimators, and inference experiments are performed using "multiple comparisons with the best" and "multiple comparisons with a control". The inference indicates that differences in gender discrimination across industry classifications is statistically insignificant at the 95% confidence level and that previous studies which have failed to perform inference on gender wage gap order statistics may be misleading.

Download Info

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://128.118.178.162/eps/em/papers/0206/0206003.pdf
Download Restriction: no

Bibliographic Info

Paper provided by EconWPA in its series Econometrics with number 0206003.

as in new window
Length: 17 pages
Date of creation: 19 Jun 2002
Date of revision:
Handle: RePEc:wpa:wuwpem:0206003

Note: Type of Document - Acrobat PDF; prepared on IBM PC; to print on HP; pages: 17; figures: included. Multiple comparison inference techniques applied to labor amrket wage gap estimation
Contact details of provider:
Web page: http://128.118.178.162

Related research

Keywords: Labor economics; discrimination; wage differentials; multiple comparisons with the best;

Other versions of this item:

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

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. Lin, Eric S., 2010. "Gender wage gaps by college major in Taiwan: Empirical evidence from the 1997-2003 Manpower Utilization Survey," Economics of Education Review, Elsevier, vol. 29(1), pages 156-164, February.
  2. William C. Horrace & Beyza P. Ural & Jin Hwa Jung, 2006. "Inter-Industry Gender Wage Gaps by Knowledge Intensity: Discrimination and Technology in Korea," Center for Policy Research Working Papers 79, Center for Policy Research, Maxwell School, Syracuse University.
  3. William C. Horrace & Joseph T. Marchand & Timothy M. Smeeding, 2005. "Ranking Inequality: Applications of Multivariate Subset Selection," Center for Policy Research Working Papers 70, Center for Policy Research, Maxwell School, Syracuse University.
  4. William C. Horrace, 2002. "Selection Procedures for Order Statistics in Empirical Economic Studies," Econometrics 0206005, EconWPA.
  5. Yun, Myeong-Su, 2006. "Revisiting Inter-Industry Wage Differentials and the Gender Wage Gap: An Identification Problem," IZA Discussion Papers 2427, Institute for the Study of Labor (IZA).

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:wpa:wuwpem:0206003. 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: (EconWPA).

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.