Abstract

This research investigates gender differences in employer-sponsored medical insurance coverage among full-time male and female workers in the United States and assesses the relevance of human capital theory and its compensating differentials corollary in predicting coverage. Data are analyzed from a subsample of the Quality of Employment Survey, a national probability sample of workers in the United States. Results indicate that men were more likely to have medical insurance coverage from their employers than were women; however, gender differences were minimized in a multivariate context when human capital and structural variables were controlled. Furthermore, human capital variables are, overall, weak predictors of whether both women and men received coverage. More generally, the data suggest that structural conditions of the occupation, rather than individual human capital, may be most relevant for future research.