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...

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...

We examine the labor market impact of states easing occupational license requirements by expanding the scope of practice (SOP) for nurse practitioners (NPs), allowing them to practice without physician oversight. Using data on job postings, we find that employers increase their demand for NPs...

We use job vacancy data collected in real time by Burning Glass Technologies, as well as unemployment insurance (UI) initial claims and the more traditional Bureau of Labor Statistics (BLS) employment data to study the impact of COVID-19 on the labor market. Our job vacancy data allow us to...