Skip to main content
. Author manuscript; available in PMC: 2018 Mar 1.
Published in final edited form as: Soc Sci Res. 2016 Sep 28;63:192–208. doi: 10.1016/j.ssresearch.2016.09.014

Table 4.

Decomposition of components of gender difference in the expected log odds of STEM employment.

% Of total gender difference due to difference in key covariate means STEM majors only

Model A Model B


Women as standard Men as standard
College major
  Engineering Major 69.4% 20.8%
  Computer Science Major −2.3% −5.4%
  Life Sciences Major 21.3% 24.1%
  Non-STEM Major 0.0% 0.0%
% due to differences in field of study 88.4% 39.5%
Attitudes & expectations
  Expect to work in STEM in 5 years 13.3% 7.2%
Family Expectations
  Expect to marry before age 25 0.4% −6.9%
  Expect to marry after 30 1.1% 0.2%
  Expect no or one child 5.4% −8.7%
Gender Ideology −5.8% 9.4%
  % due to differences in attitudes, expectations, & ideology 14.4% 1.3%
Family socialization
  Father worked in STEM field 2.0% 3.8%
  Mother's Highest Grade 5.7% 5.0%
Race/Ethnicity
  Minority 5.1% −6.7%
  Foreign Born 0.8% −0.7%
Degree year
1977–1981 −0.8% 0.0%
1985–1987 −0.6% −1.3%
1988 or later 13.1% −0.6%
Total compositional difference 128.2% 40.1%
Total unexplained differences −28.2% 59.9%
Total difference in probability of transitioning into STEM 0.119

Note: NLSY 1979 sample of college graduates, All values are weighted by 1979 cross-sectional weights.

Method: Fairlie method for Binary Outcome Models, 500 repetitions.