Previous literature shows that activation requirements for welfare participants decrease welfare participation. However, the dynamics have not been examined, and often only exit effects are analyzed. In this paper, we look more closely at the transition rates into and out of welfare. Using...

This paper investigates whether mandatory activation programs for welfare receivers have effects on welfare participation, employment and disposable income. In contrast to earlier studies we are able to capture both entry and exit effects. The empirical analysis makes use of a Swedish welfare...

We are the first to document that Supplemental Nutrition Assistance Program (SNAP) caseworker behavior impacts program receipt, likely due to differing levels of helpfulness in navigating the complicated application process. We use the conditional random assignment of caseworkers as an...

The COVID-19 related public health emergency led to federal legislation that changed the landscape of Medicaid coverage for low-income people in the United States. Beginning in 2020, policy responses led to a surge in Medicaid enrollment due to federal rules preventing Medicaid disenrollment,...

How do administrative burdens influence enrollment in different welfare programs? Who is screened out at a given stage? This paper studies the impacts of increased administrative burdens associated with the automation of welfare caseworker assistance, leveraging a unique natural experiment in...

Take-up of a social benefit is usually defined as receiving a benefit for which an individual or household is eligible. The take-up rate is the fraction of those eligible for a program who participate and receive a benefit or service. We survey estimates of take-up of social benefits around the...

Stigma of welfare participation is important for policy and survey design, because it deters program take-up and increases misreporting. Stigma is also relevant to the literature on social image concerns, yet empirical evidence is scant because stigma is difficult to empirically identify. We use...