Table 2

Expected occupational segregation (D) estimated from linear probability models with and without covariates

Model 0Model 1Model 2Model 3
Expected D 0.391*** 0.252*** 0.386*** 0.250*** 
 (0.389, 0.392) (0.251, 0.254) (0.385, 0.388) (0.249, 0.252) 
Field (173) No Yes No Yes 
Controls No No Yes Yes 
R2 .15 .25 .16 .26 
AIC 3,036,168 2,739,515 3,013,148 2,723,044 
BIC 3,036,193 2,743,902 3,013,706 2,727,963 
Model 0Model 1Model 2Model 3
Expected D 0.391*** 0.252*** 0.386*** 0.250*** 
 (0.389, 0.392) (0.251, 0.254) (0.385, 0.388) (0.249, 0.252) 
Field (173) No Yes No Yes 
Controls No No Yes Yes 
R2 .15 .25 .16 .26 
AIC 3,036,168 2,739,515 3,013,148 2,723,044 
BIC 3,036,193 2,743,902 3,013,706 2,727,963 

Notes: 95% confidence intervals are shown in parentheses. Controls include race and ethnicity (non-Hispanic White, non-Hispanic Black, Hispanic, non-Hispanic Asian, and non-Hispanic other), educational attainment, age (three-year intervals), and region (Northeast, Midwest, South, and West). N = 2,372,463. AIC = Akaike information criterion. BIC = Bayesian information criterion.

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

***p < .001

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