We study how a regulator can best target inspections. Our case study is a US Occupational Safety and Health Administration (OSHA) program that randomly allocated some inspections. On average, each inspection averted 2.4 serious injuries (9%) over the next five years. We use new machine learning...

We provide a comprehensive overview of codetermination, i.e., worker representation in firms' governance and management. We cover the institution's history, implementation, and the best available evidence on its economic impacts. We argue that existing quasiexperimental estimates suggest that...