Forecasting the adoption of technological innovations is difficult but potentially impactful, particularly in rural low-income communities worldwide. This paper tests a novel method to measure mobile money adoption by employing behavioral measures to elicit preferences for saving or remitting using mobile money. I link these game decisions to individual-level mobile money administrative transaction data; my findings show that while willingness to remit through mobile money strongly predicts adoption in the second and third years after mobile money was introduced, willingness to save in the mobile money game is a strong predictor of future mobile money cash-in and any mobile money transaction in the first, second, and third years.

Using DHS data, historical gold prices, and a unique geospatial dataset of artisanal mining activities across Africa, we examine how artisanal mines affect women empowerment in Africa.

Using administrative data on applications, admissions, enrollment, and entrance examination scores, this project examines how changes in admission rules that place greater emphasis on entrance examination performance affect application patterns, the gender composition of admitted students, and the test scores of admitted students.