Women at work. A task analysis of the gender wage gap
We provide a task-based analysis of the gender wage gap. We apply multivariate factor analysis on the O*NET database and show that three main tasks describe an occupation: manual, managerial-interpersonal and cognitive-professional. Matching our task measures with U.S. CPS data from 2003 to 2010 we find that the gender wage gap narrows as the manual and cognitive-professional intensity of tasks increases, whereas it widens in managerial-interpersonal intensive jobs. Non-cognitive skills, then, importantly characterize jobs and translate into heterogenous returns across genders. Our empirical strategy simultaneously accounts for endogenous selection into employment and occupations according to the latter's task intensity.
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