Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/124909 
Year of Publication: 
2015
Series/Report no.: 
IZA Discussion Papers No. 9381
Publisher: 
Institute for the Study of Labor (IZA), Bonn
Abstract: 
Using normalized regression equations, we propose an alternative estimator of industrial gender wage gaps which is identified in the sense that it is invariant to the choice of an unobserved non-discriminatory wage structure, and to the choice of the reference groups of any categorical variables. The proposed estimator measures the pure impact of industry on gender wage gaps after netting out wage differentials due to differences in characteristics and their coefficients between men and women. Furthermore, the proposed estimator is easy to implement, including hypothesis tests. We compare the proposed estimator with existing estimators using samples from 1998 Current Population Survey of US.
Subjects: 
gender wage discrimination
Oaxaca decomposition
identification
industrial gender wage gaps
normalized regression
JEL: 
C12
J31
J71
Document Type: 
Working Paper

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