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Open Access Publications from the University of California

Gender-Hours Disparity Across Races


This paper analyzes data from the 2013 Annual Social and Economic (ASEC) Supplement of the Current Population Survey to examine whether women work fewer hours per week than men across races. Reported hours worked in a typical week for White males are juxtaposed to those of male and female workers of Black, Hispanic, Asian, and other descent. Several regressions are considered in an attempt to correct for possible violations to ordinary least squares (OLS) assumptions that may weaken both the internal and external validity of the model. Results from the linear regression suggest that women across considered ethnicities work approximately 1–2 fewer hours per week on average than their male counterparts. While these gender differences vary across race, modifications to the regression distinguishing part-time and full-time workers indicate general robustness of the estimates for full-time employees. Part-time coefficient calculations, however, tend to lose their statistical significance for the difference in the number of typical hours worked per week, which suggests the possibility that no gender-hours gap exists for some races at the part-time level. Areas for future research are suggested.

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