There is growing interest in using messaging to drive prosocial behaviors, which contribute to investment in public goods. We worked with a leading nongovernmental organization in Peru to randomize nine different prorecycling messages that were crafted on the basis of best practices, prior...

Widespread acceptance of COVID-19 vaccines is crucial for achieving sufficient immunization coverage to end the global pandemic, yet few studies have investigated COVID-19 vaccination attitudes in lower-income countries, where large-scale vaccination is just beginning. We analyze COVID-19...

In the past decade, microfinance institutions (MFIs) have experienced a boom in innovations of lending products, partly fueled by donors who see microfinance as the next promise to alleviate poverty. Examples of these new products are the combination of credit with health or life insurance,...

We experimentally study the impact of substantially larger enterprise loans, in collaboration with an Egyptian lender. Larger loans generate small average impacts, but machine learning using psychometric data reveals dramatic heterogeneity. Top-performers (i.e., those with the highest predicted...

Markets for consumer financial services are growing rapidly in low- and middle-income countries and are being transformed by digital technologies and platforms. With growth and change come concerns about protecting consumers from firm exploitation due to imperfect information and contracting as...

Classic theories suggest that common pool resources are subject to overexploitation. Community-based resource management approaches may ameliorate “tragedy of the commons” effects. Using a randomized evaluation in Namibia’s communal rangelands, we find that a comprehensive four-year...

We replicate the test of a theoretical framework put forward and tested by Goldberg et al. (2022) on financial incentives to send peers information about health behaviors. The study we replicate validated the theory in the context of tuberculosis testing in India. We adapt the intervention to...

Online platforms often face challenges being both fair (i.e., non-discriminatory) and efficient (i.e., maximizing revenue). Using computer vision algorithms and observational data from a microlending marketplace, we find that choices made by borrowers creating online profiles impact both of...