TY  - RPRT
        AU  - Yun, Myeong-Su
AU  - Lin, Eric S.
        TI  - An Alternative Estimator for Industrial Gender Wage Gaps: A Normalized Regression Approach
        PY  - 2015/Sep/
        PB  - Institute of Labor Economics (IZA)
        CY  - Bonn
        T2  - IZA Discussion Paper
        IS  - 9381
        UR  - https://www.iza.org/publications/dp9381
        AB  - 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.
        KW  - gender wage discrimination
KW  - Oaxaca decomposition
KW  - identification
KW  - industrial gender wage gaps
KW  - normalized regression
        ER  -