Table 5

OLS regressions of within-field segregation (log D) on field female representation, FO linkage, and STEM

Model 4Model 5Model 6Model 7
Field Female Representation 
 Between 1st and 3rd quartiles (ref.) 
 <1st quartile 0.14**   0.16* 
  (0.05)   (0.06) 
 >3rd quartile 0.04   0.02 
 (0.04)   (0.05) 
FO Score, Standardized 0.03  0.02 
  (0.03)  (0.03) 
STEM   0.02 −0.05 
   (0.04) (0.05) 
Constant −1.18** −1.14** −1.15** −1.16** 
 (0.02) (0.02) (0.02) (0.03) 
Number of Observations 173 173 173 173 
R2 .05 .01 .00 .06 
AIC 18.89 23.71 25.75 21.27 
BIC 28.35 30.02 32.06 37.03 
Model 4Model 5Model 6Model 7
Field Female Representation 
 Between 1st and 3rd quartiles (ref.) 
 <1st quartile 0.14**   0.16* 
  (0.05)   (0.06) 
 >3rd quartile 0.04   0.02 
 (0.04)   (0.05) 
FO Score, Standardized 0.03  0.02 
  (0.03)  (0.03) 
STEM   0.02 −0.05 
   (0.04) (0.05) 
Constant −1.18** −1.14** −1.15** −1.16** 
 (0.02) (0.02) (0.02) (0.03) 
Number of Observations 173 173 173 173 
R2 .05 .01 .00 .06 
AIC 18.89 23.71 25.75 21.27 
BIC 28.35 30.02 32.06 37.03 

Notes: Standard errors are shown in parentheses. N = 173. The dependent variable is log dissimilarity index (D), after adjusting for small unit bias. FO score = field–occupation linkage score. AIC = Akaike information criterion. BIC = Bayesian information criterion.

Data Source:2019 five-year American Community Survey Integrated Public Use Microdata Series (IPUMS).

*p < .05; **p < .01

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