We study the effect of the COVID-19 pandemic on chronic disease drug adherence. Focusing on asthma, we use a database that tracks the vast majority of prescription drug claims in the U.S. from 2018 to 2020. Using a difference-in-differences empirical specification, we compare monthly drug...

We use employment data from the Current Population Survey to assess the efficacy of state-mandated paid sick leave policies on leave-taking behavior with a focus on any variation by gender. We find that these policies increase leave taking for care-giving for men by 10-20%, and this effect is...

We use administrative tax data to analyze the cumulative, long-run effects of California's 2004 Paid Family Leave Act (CPFL) on women's employment, earnings, and childbearing. A regression-discontinuity design exploits the sharp increase in the weeks of paid leave available under the law. We...

We use administrative tax data to analyze the cumulative, long-run effects of California's 2004 Paid Family Leave Act (CPFL) on women's employment, earnings, and childbearing. A regression-discontinuity design exploits the sharp increase in the weeks of paid leave available under the law. We...

We study the effect of the Affordable Care Act's Medicaid expansion on coverage dynamics following the sudden loss of coverage from an employer plan. This analysis leverages novel administrative data capturing monthly health insurance coverage for the U.S. population. Using these data, we...