Achieving low unemployment in an environment of weak growth is a major policy challenge; a more egalitarian distribution of hours worked could be the key to solving it. Whether worksharing actually increases employment, however, has been debated controversially. In this article we present...

The two perhaps most influential empirical labor supply studies carried out in the U.S. in recent years, Hausman (1981) and MaCurdy, Green & Paarsch (1990), report sharply contradicting labor supply estimates. In this paper we seek to uncover the driving forces behind the seemingly...

Conventional labor supply studies assume constant eligibility monitoring of income-tested program participants, but this is not true for most programs. For example, states can allow children to enroll in Medicaid/CHIP for 12 months regardless of family income changes. A long recertification...

Recent studies have proposed causal machine learning (CML) methods to estimate conditional average treatment effects (CATEs). In this study, I investigate whether CML methods add value compared to conventional CATE estimators by re-evaluating Connecticut's Jobs First welfare experiment. This...