The Honduran PRAF experiment randomly assigned conditional cash transfers to 40 of 70 poor municipalities, within five strata defined by a poverty proxy. Using census data, we show that eligible children were 8 percentage points more likely to enroll in school and 3 percentage points less likely...

The Honduran PRAF experiment randomly assigned conditional cash transfers to 40 of 70 poor municipalities, within five strata defined by a poverty proxy. Using census data, we show that eligible children were 8 percentage points more likely to enroll in school and 3 percentage points less likely...

The paper analyzes a new Honduran conditional cash transfer experiment (Bono 10,000) in which 150 poor villages (of 300) were treated. The transfers were much larger in size than an earlier experiment (Galiani & McEwan, 2013), but yielded smaller full-sample effects on school enrollment, child...

In a Honduran field experiment, sequences of cash transfers to poor households varied in amount of the largest (“peak”) and last (“end”) transfers. Larger peak-end transfers increased voter turnout and the incumbent party's vote share in the 2013 presidential election, independently of...

We analyzed two conditional cash transfers experiments that preceded Honduran presidential elections in 2001 and 2013. In the first, smaller transfers had no effects on voter turnout or incumbent vote share. In the second, larger transfers increased turnout and incumbent share in similar...

This paper analyzes a geographic quasi-experiment embedded in a cluster-randomized experiment in Honduras. In the experiment, average treatment effects on school enrollment and child labor were large—especially in the poorest blocks—and could be generalized to a policy-relevant population...

This paper analyzes a geographic quasi-experiment embedded in a cluster-randomized experiment in Honduras. In the experiment, average treatment effects on school enrollment and child labor were large — especially in the poorest blocks — and could be generalized to a policy-relevant...