While unconditional cash transfers have been studied extensively in developing countries, little is known about their effects in a wealthier context. Through a randomized controlled trial, we study the employment effects of a generous and unconditional transfer targeting low-income families in...

While unconditional cash transfers have been studied extensively in developing countries, little is known about their effects in a wealthier context. Through a randomized controlled trial, we study the employment effects of a generous and unconditional transfer targeting low-income families in...

While unconditional cash transfers have been studied extensively in developing countries, little is known about their effects in a wealthier context. Through a randomized controlled trial, we study the employment effects of a generous and unconditional transfer targeting low-income families in...

This paper develops a framework for evaluating the welfare impact of various interventions designed to increase take-up of social safety net programs in the presence of potential behavioral biases. We calibrate the key parameters using a randomized field experiment in which 30,000 elderly...

Satellite data and randomized controlled trials (RCTs) are a powerful combination for analyzing causal effects beyond traditional survey-based indicators. The usage of remotely collected data for evaluating RCTs is cost-effective, objective and possible for anyone with treatment assignment data....

The economic consequences of COVID-19 lockdowns were significant for poor households in the Global South. In this crisis period, we investigate the very long-run impacts of a randomized cash grant in Uganda on three pre-specified outcomes, including a heterogeneity analysis by gender. In 2008,...

Existing sociological research on support for anti-poverty programs largely focuses on broad categories of welfare or assistance to the poor rather than particular types of transfers. Using an experimental survey design and mixed methods research, we examine whether support for anti-poverty...

Satellite data and randomized controlled trials (RCTs) are a powerful combination for analyzing causal effects beyond traditional survey-based indicators. The usage of remotely collected data for evaluating RCTs is cost-effective, objective and possible for anyone with treatment assignment data....

This paper develops a framework for evaluating the welfare impact of various interventions designed to increase take-up of social safety net programs in the presence of potential behavioral biases. We calibrate the key parameters using a randomized field experiment in which 30,000 elderly...