The rigorous evaluation of anti-poverty programs is key to the fight against global poverty. Traditional approaches rely heavily on repeated in-person field surveys to measure program effects. However, this is costly, time-consuming, and often logistically challenging. Here we provide the first...

There is evidence that machine learning (ML) can improve the screening of risky borrowers, but the empirical literature gives diverse answers as to the impact of ML on credit markets. We provide a model in which traditional banks compete with fintech (innovative) banks that screen borrowers...

The outbreak of COVID-19 in early 2020 heralded a deep global recession not seen since the Second World War. With a billion people out of work and entire countries in lock-down, the burgeoning economies of countries like India has plunged into a downward spiral. The conventional instruments of...

This Article investigates whether all stakeholder groups share the same understanding and useof the relevant terms and concepts of the DSA and DMA. Leveraging the power ofcomputational text analysis, we find significant differences in the employment ofterms like “gatekeepers,”...