Alternative Estimator for Industrial Gender Wage Gaps: A Normalized Regression Approach

作者：Yun Myeong Su; Lin Eric S^*

来源：Pacific Economic Review, 2015, 20(4): 569-587.

DOI：10.1111/1468-0106.12112

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, and hypothesis testing is straightforward. We compare the proposed estimator with existing estimators using samples from the 1998 US Current Population Survey.

• 出版日期2015-10
• 单位清华大学