This article reviews the existing field experimentation literature on the prevalence of discrimination, the consequences of such discrimination, and possible approaches to undermine it. We highlight key gaps in the literature and ripe opportunities for future field work. Section 1 reviews the...

Previous randomized studies have shown that addressing children's current learning gaps, rather than following an over-ambitious uniform curriculum, can lead to significant learning gains. In this study, we evaluate a series of efforts to scale up the NGO Pratham's approach to teaching children...

Most modern supervised statistical/machine learning (ML) methods are explicitly designed to solve prediction problems very well. Achieving this goal does not imply that these methods automatically deliver good estimators of causal parameters. Examples of such parameters include individual...