Full Citation

Title: An analysis of skill-biased technical change across demographic groups

Citation Type: Dissertation/Thesis

Publication Year: 2018

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Abstract: I adopt a measure of task-based routineness from Autor and Dorn (2013) to investigate the effects of routineness on various demographic groups. I analyze data from the Current Population Surveys between 1976 and 2017 to determine which groups, separated by race, gender, and age, are most strongly affected by routine-biased technological change. My findings suggest that women are most negatively affected by occupational routineness. Further, both women’s concentration in highly routine occupations and women’s educational attainment trends from 1976 to 2017 could explain women’s increasing susceptibility to changes in routineness.

Url: https://scholarship.richmond.edu/honors-theses/1328/

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Authors: Lindsay, Madison

Institution: University of Richmond

Department: Economics

Advisor: Andrea Waddle

Degree: Honors / BA

Publisher Location: Richmond, VA

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Data Collections: IPUMS CPS

Topics: Other, Population Data Science

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