While economic theory suggests substitutability between labor and capital, little evidence exists regarding the causal effect of labor supply on inventing labor-saving technologies. We analyze the impact of exogenous changes in regional labor supply on automation innovation by exploiting an...

I study the consequences for labor market outcomes and sick leave of having an elderly parent in need of care. Using Swedish register data I compare the labor market outcome trajectories of adult children before and after their parent suffers a health shock. I find that employment and income of...

Decreases in labor supply among cash-transfer recipients are often cited as potential drawbacks of social-assistance programs. However, cash transfers can also increase employment. Using variation across cohorts and over time in the eligibility criteria of a nationwide conditional cash-transfer...

We decompose permanent earnings risk into contributions from hours and wage shocks. To distinguish between hours shocks, modeled as innovations to the marginal disutility of work, and labor supply reactions to wage shocks we formulate a life-cycle model of consumption and labor supply. Both...

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...

We use Statistics Canada's Labour Force Survey to explore the labor market impacts of the novel coronavirus (COVID-19). Specifically, we adopt a unique identification strategy to examine the heterogeneous causal effects of the COVID-19 economic shutdown by governments on hours worked across the...