Insights into gender discrimination in employment compensation through the use of classification models.: An article from: Journal of Managerial Issues

This digital document is an article from Journal of Managerial Issues, published by Pittsburg State University - Department of Economics on September 22, 2002. The length of the article is 5249 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.

From the author: Various statistical techniques have often been used for the analysis of employment compensation data for possible detection of gender discrimination. In this study, we investigate the potential role of mathematical programming-based classification models in the analysis of employment compensation data. A two-phase approach is proposed for the gender classification of employees when the variables measuring employee qualifications are used as attributes. Data from a highly-publicized court case of gender discrimination in employment compensation, involving a major midwestern bank, are used to illustrate the potential usefulness of the proposed procedure.

Citation Details
Title: Insights into gender discrimination in employment compensation through the use of classification models.
Author: Constantine Loucopoulos
Publication:Journal of Managerial Issues (Refereed)
Date: September 22, 2002
Publisher: Pittsburg State University - Department of Economics
Volume: 14 Issue: 3 Page: 375(14)

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