Date of Submission
Campus Only Senior Thesis
Bachelor of Arts
© 2017 Elizabeth P. Harder
Following developments in technological advancement and the ability to automate jobs in the 21st Century, the quantity and variety of jobs impacted by computerization has increased. Using data from the 2013 American Community Survey (ACS), this paper explores how demographic characteristics influence the probability of job computerization. I perform a linear regression and find evidence that differences in race, education, and gender significantly impact the probability of an individual’s occupation to be computerized. Specifically, Hispanics are the most at risk racial/ethnic group followed in order by blacks, Asians, and whites; increased education is associated with lower probability of computerization; and men are more susceptible to facing job automation than women.
Harder, Elizabeth, "Job Susceptibility to Computerization by Demographic Characteristics: An Empirical Exploration" (2018). CMC Senior Theses. 1773.
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