Gender differences in self-view and desired salaries: A study on online recruitment website users in China

PLoS One. 2019 Jan 10;14(1):e0210072. doi: 10.1371/journal.pone.0210072. eCollection 2019.

Abstract

One explanation for the gender pay differences in labor markets is that women propose lower desired salaries. By using an actual job seeking resume database and applying text mining techniques, we are able to observe both the extent of gender differences in desired salaries and job-related self-view. We find gender differences in global self-view favoring females, and in some domain-specific self-view favoring males. Previous findings of disadvantaged groups having levels of self-view at least as high as those of advantaged groups lend credibility to our findings. Moreover, we argue that the differences in global self-view favoring females may be related to the theories of "belief flipping", since women in our sample of online-recruitment markets are distinct from the general population, with on average 15.2 years of education and 8.99 years of work experience, due to self-selection. In addition, we find that women do propose lower desired salary than men, after controlling for various factors such as human capital, marital status, industries. We further investigate the role of self-view and find it contributes to explain desired salaries, with modest mediator effect but little moderator effect on gender differences in desired salaries.

MeSH terms

  • Adult
  • China
  • Educational Status*
  • Female
  • Humans
  • Job Satisfaction*
  • Male
  • Marital Status / statistics & numerical data
  • Middle Aged
  • Principal Component Analysis
  • Salaries and Fringe Benefits*
  • Self Concept*
  • Sex Factors
  • Work Schedule Tolerance

Grants and funding

The author(s) received no specific funding for this work.