We examine how machine learning can be used to improve and understand human decision-making. In particular, we focus on a decision that has important policy consequences. Millions of times each year, judges must decide where defendants will await trial—at home or in jail. By law, this decision...

Poorly maintained public infrastructure is common in low- and middle-income countries, with consequences for service delivery and public health. By experimentally identifying the impact of incentives for local maintenance for both providers and potential users, this paper provides one of the...

This paper begins by identifying nominal price stickiness as the logical basis for the Keynesian or activist point of view concerning demand management policy. It then characterizes two alternative approaches to policy analysis that have been adopted by adherents of the Keynesian position, the...