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Women at work. A task analysis of the gender wage gap

Listed author(s):
  • Elizabeth Jane CASABIANCA

    ()

    (Universit… Politecnica delle Marche, Dipartimento di Scienze Economiche e Sociali)

  • Alessia LO TURCO

    ()

    (Universit… Politecnica delle Marche, Dipartimento di Scienze Economiche e Sociali)

  • Claudia PIGINI

    ()

    (Universit… Politecnica delle Marche, Dipartimento di Scienze Economiche e Sociali)

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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Paper provided by Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali in its series Working Papers with number 412.

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Length: 41
Date of creation: Nov 2015
Handle: RePEc:anc:wpaper:412
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