With the growing prominence of big data and algorithms in the hiring process, it seems only apt to systematically identify the effect that these changes are having on labor markets. In this paper, I seek to take the first step in filling this void by systematically analyze the effect of big data and algorithms on discrimination in the hiring process. I conduct a correspondence study adapted to the new job application process to see how big data and algorithms are affecting discrimination in the hiring process.
Nam, Taekmin, "Discrimination in Modern Labor Markets: A Field Experiment" (2021). Economics Honors Papers. 35.
The views expressed in this paper are solely those of the author.