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...

How, when, and why did women in the US obtain legal rights equal to men's regarding the workplace, marriage, family, Social Security, criminal justice, credit markets, and other parts of the economy and society, decades after they gained the right to vote? The story begins with the civil rights...

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...

Labor market outcomes for young college graduates have deteriorated substantially in the last twenty five years, and more of them are residing with their parents. The unemployment rate at 23-27 year old for the 1996 college graduation cohort was 9%, whereas it rose to 12% for the 2013 graduation...

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...

Using administrative data on health insurance, retirement, and leave benefits, we find within-firm variation accounts for a dramatically lower percentage of total variation in benefits than in wages. We also document sharply higher between-firm variation in nonwage benefits than in wages. We...

We study the adoption of remote work within cities and its effect on city structure and welfare. We develop a dynamic model of a city in which workers can decide to work in the central business district (CBD) or partly at home. Working in the CBD allows them to interact with other commuters,...

We leverage recent advances in NLP to construct measures of workers' task exposure to AI and machine learning technologies over the 2010 to 2023 period that vary across firms and time. Using a theoretical framework that allows for a labor-saving technology to affect worker productivity both...

We examine changes in the spatial distribution of good jobs across US commuting zones over 1980-2000 and 2000-2021. We define good jobs as those in industries in which full-time workers attain high wages, accounting for individual and regional characteristics. The share of good jobs in...

We introduce aggregate shocks to workers' value of job amenities in a frictional equilibrium model of the labor market with on-the-job search, where the job creation cost is sunk and quits trigger vacancies. We examine how key labor market indicators respond to this shock: when the valuation of...