Unemployment insurance taxes are experience-rated to penalize firms that dismiss workers. We examine whether experience rating acts as an automatic stabilizer in the labor market. We exploit the fact that penalties for layoffs vary by state using detailed data on state tax schedules, and we...

In the U.S., occupational licensing is more prevalent in the public sector than in the private sector, but the influence of occupational regulation for public sector workers has not been analyzed in detail. Our study initially examines the probability of a licensed worker selecting into the...

This paper studies the effects of automation in economies with labor market distortions that generate worker rents--wages above opportunity cost--in some jobs. We show that automation targets high-rent tasks, dissipating rents and amplifying wage losses from automation. It also reduces...

We study how labor market conditions affect unionization decisions. Tight labor markets might spur unionization, e.g., by reducing the threat of unemployment after management opposition or employer retaliation in response to a unionization attempt. Tightness might also weaken unionization by...

At the onset of the COVID pandemic, the U.S. economy suddenly and swiftly lost 20 million jobs. Over the next two years, the economy has been on the recovery path. We assess the labor market two years into the COVID crisis. We show that early employment dynamics were almost entirely driven by...

How important is the exercise of classical monopsony power against labor for the level of wages and labor's share? We examine this in the context of China and India - two large, rapidly-growing developing economies. Using theory, we develop a novel screen to quantify how wages are affected by...

Machine learning (ML) is mostly a predictive enterprise, while the questions of interest to labor economists are mostly causal. In pursuit of causal effects, however, ML may be useful for automated selection of ordinary least squares (OLS) control variables. We illustrate the utility of ML for...

I show that a CES production-function-based approach with skill differentiation and integrated national labor markets has predictions for the employment effect of immigrants at the local level. The model predicts that if I look at the employment (rather than wage) response by skill to...