This paper estimates the impact of a large temporary poverty relief program, Uruguay's PANES, on birth outcomes. Using program administrative data and longitudinal vital statistics, a significant and precisely estimated reduction in the fraction of low-weight newborns (less than 2,500 g) on the...

There is limited empirical evidence on whether unrestricted cash social assistance to poor pregnant women improves children's birth outcomes. Using program administrative micro-data matched to longitudinal vital statistics on the universe of births in Uruguay, we estimate that participation in a...

We estimate the impact of a large anti-poverty cash transfer program, the Uruguayan PANES, on political support for the government that implemented it. Using the discontinuity in program assignment based on a pre-treatment eligibility score, we find that beneficiary households are 11 to 14...

Ethnic favoritism is seen as antithetical to development. This paper provides credible quantification of the extent of ethnic favoritism using data on road building in Kenyan districts across the 1963-2011 period. Guided by a model it then examines whether the transition in and out of democracy...

Until recently, neither climate nor conflict have been core areas of inquiry within economics, but there has been an explosion of research on both topics in the past decade, with a particularly large body of research emerging at their intersection. In this review, we survey this literature on...

This paper exploits an unusual transportation setting to estimate the value of a statistical life (VSL). We estimate the trade-offs individuals are willing to make between mortality risk and cost as they travel to and from the international airport in Sierra Leone (which is separated from the...

In Sub-Saharan Africa, 600 million people live without electricity. Despite ambitions of governments and donors to invest in rural electrification, decisions about how to extend electricity access are being made in the absence of rigorous evidence. Using a novel dataset of 20,000 geo-tagged...