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

Author

Listed:
  • 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)

Abstract

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.

Suggested Citation

  • Elizabeth Jane CASABIANCA & Alessia LO TURCO & Claudia PIGINI, 2015. "Women at work. A task analysis of the gender wage gap," Working Papers 412, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    • Handle: RePEc:anc:wpaper:412
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    More about this item

    Keywords

    Employment participation; Gender disparities; Occupational choices; Roy model; Task approach;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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