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Area of Science:

  • Economics
  • Sociology
  • Labor Studies

Background:

  • College-educated women in the U.S. earn about 30% less than non-Hispanic white men.
  • Significant wage disparities persist across racial and ethnic groups of women.

Purpose of the Study:

  • To empirically examine the gender wage gap for college-educated women.
  • To quantify the extent to which pre-market factors explain these wage disparities for different demographic groups.

Main Methods:

  • Utilized the National Survey of College Graduates for detailed higher education data.
  • Employed nonparametric matching analysis to assess wage gap determinants.
  • Conducted parametric analyses for comparative insights.

Main Results:

  • Pre-market factors (degree, major) accounted for 44-73% of the gender wage gap for English-speaking individuals.
  • For women with high labor force attachment, 54-99% of the wage gap was explained by these factors.
  • Nonparametric methods provided less misleading inferences than traditional regression-based decompositions.

Conclusions:

  • Pre-market factors significantly explain a large portion of the gender wage gap among college-educated women.
  • Nonparametric analysis offers a more reliable method for decomposing wage disparities.
  • Further research into remaining unexplained wage gaps is warranted.