We present new evidence on the long-run trend of occupational task content by race in the United States, 1900-2021. Black workers began the transition to better paid, cognitive-intensive modern jobs at least a generation after white workers; substantial convergence only occurred from 1960...

This paper compares the careers of Ivy League athletes to those of their non-athlete classmates. Combining team-level information on all Ivy League athletes from 1970 to 2021 with resume data for all Ivy League graduates, we examine both post-graduate education and career choices as well as...

We examine the effect of attending stand-alone technical high schools on the industry of employment and within industry earnings premiums using a regression discontinuity design. We study the universe of students that applied to the Connecticut Technical Education and Career System (CTECS)...

Licensed workers could be shielded from unemployment during recession since occupational licensing laws are asymmetric--making unlicensed workers an illegal substitute for licensed workers but not the reverse. We test our hypothesis using a difference-in-differences event study research design...

The evolution of work is of emerging importance to advanced economies' growth. In this study, we develop a new semantic-distance-based algorithm to identify "new work," namely the new types of jobs introduced in the US. We characterize how "new work" relates to task content of jobs and skill...

We study the shifts in U.S. firms' workforce composition and organization associated with the use of AI technologies. To do so, we leverage a unique combination of worker resume and job postings datasets to measure firm-level AI investments and workforce composition variables, such as...

How do college students and postsecondary institutions react to changes in skill demand in the U.S. labor market? We quantify the magnitude and nature of response in the 4-year sector using a new measure of labor demand at the institution-major level that combines online job ads with geographic...

We develop measures of labor-saving and labor-augmenting technology exposure using textual analysis of patents and job tasks. Using US administrative data, we show that both measures negatively predict earnings growth of individual incumbent workers. While labor-saving technologies predict...

We address three core questions about the hypothesized role of newly emerging job categories ('new work') in counterbalancing the erosive effect of task-displacing automation on labor demand: what is the substantive content of new work; where does it come from; and what effect does it have on...