News

Researchers tested the impact of a cell phone-based monitoring system on the delivery of government-issued payments for farmers in Telangana, India. The system significantly improved the likelihood of farmers ever receiving their payments as well as receiving them on time, indicating improved...

The researcher conducted a randomization in rural Odisha in India, by comparing adoption of a new seed variety through farmer-to-farmer networks in one half as benchmarked by door-to-door sales of the same seed. Trading between farmers leads to substantial under-adoption of agricultural technology...

In Bangladesh, researchers evaluated how temporary exposure to a community driven development program altered citizens’ preferences for inclusive, participatory approaches to decision-making. In this context, exposure to participatory decision-making increased the value that communities assigned to...

The researcher conducted a pilot randomized evaluation to test the feasibility of a regular community accountability meeting program and a politician health leadership program, as well as the feasibility of associated data collection activities. Both interventions realized considerable stakeholder...

Researchers leveraged existing randomization to evaluate the impact of ERA programs during the pandemic in four urban areas in the United States on measures of housing stability, financial security, and mental health. Receipt of rental assistance increased rent payment in the short term and modestly...

In partnership with Bridges to Prosperity, the researchers are conducting a randomized evaluation across 23 districts in Rwanda to determine the impact of building footbridges on wages and agricultural technology adoption and production.

Researchers are evaluating the impact of providing different types of information about the health risks of Covid-19 on individuals’ risky behavior among diabetic and hypertensive individuals in Tamil Nadu, India, with special attention to de-biasing over-optimism about personal health risk.

Identifying high-potential microentrepreneurs in low-income countries remains a challenge due to lack of verifiable information. Researchers conducted a randomized evaluation to test the value of community knowledge in identifying high-potential microentrepreneurs.