Occupational Match Quality and Gender over Two Cohorts

68 Pages Posted: 18 Dec 2018

See all articles by John T. Addison

John T. Addison

University of South Carolina - Moore School of Business - Department of Economics; IZA Institute of Labor Economics

Liwen Chen

University of South Carolina

Orgul D. Ozturk

University of South Carolina - Moore School of Business - Department of Economics

Multiple version iconThere are 3 versions of this paper

Date Written: July 30, 2018

Abstract

We deploy a measure of occupational mismatch based on the discrepancy between the portfolio of skills required by an occupation and the array of abilities possessed by the worker for learning those skills. We report distinct gender differences in match quality and changes in match quality over the course of careers. We also show a substantial portion of the gender wage gap stems from match quality differences among the college educated. College-educated females are significantly more mismatched than males. Moreover, those individuals with children and in more flexible occupations tend to be more mismatched. Again, this is especially true of women. Cohort effects are also visible in the data: college-educated males of the younger cohort are worse off in terms of match quality compared to the older cohort, even as the new generation of women is doing better on average.

Keywords: Multidimensional skills, occupational mismatch, match quality, wages, gender wage gap, fertility, fertility timing

JEL Classification: J3, J16, J22, J24, J31, J33, N3

Suggested Citation

Addison, John T. and Chen, Liwen and Ozturk, Orgul D., Occupational Match Quality and Gender over Two Cohorts (July 30, 2018). Available at SSRN: https://ssrn.com/abstract=3293447 or http://dx.doi.org/10.2139/ssrn.3293447

John T. Addison

University of South Carolina - Moore School of Business - Department of Economics ( email )

The Francis M. Hipp Building
1705 College Street
Columbia, SC 29208
United States
803-777-7400 (Phone)
803-777-6876 (Fax)

HOME PAGE: http://mooreschool.sc.edu/moore/economics/profiles/addison.htm

IZA Institute of Labor Economics

P.O. Box 7240
Bonn, D-53072
Germany

Liwen Chen

University of South Carolina ( email )

701 Main Street
Columbia, SC 29208
United States

Orgul D. Ozturk (Contact Author)

University of South Carolina - Moore School of Business - Department of Economics ( email )

The Francis M. Hipp Building
1705 College Street
Columbia, SC 29208
United States

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