English

Closing the U.S. gender wage gap requires understanding its heterogeneity

Econometrics 2021-06-08 v2 Applications Machine Learning

Abstract

In 2016, the majority of full-time employed women in the U.S. earned significantly less than comparable men. The extent to which women were affected by gender inequality in earnings, however, depended greatly on socio-economic characteristics, such as marital status or educational attainment. In this paper, we analyzed data from the 2016 American Community Survey using a high-dimensional wage regression and applying double lasso to quantify heterogeneity in the gender wage gap. We found that the gap varied substantially across women and was driven primarily by marital status, having children at home, race, occupation, industry, and educational attainment. We recommend that policy makers use these insights to design policies that will reduce discrimination and unequal pay more effectively.

Keywords

Cite

@article{arxiv.1812.04345,
  title  = {Closing the U.S. gender wage gap requires understanding its heterogeneity},
  author = {Philipp Bach and Victor Chernozhukov and Martin Spindler},
  journal= {arXiv preprint arXiv:1812.04345},
  year   = {2021}
}

Comments

Main text: 8 pages, 3 figures; Supplementary Material available online