We discuss the relevance of the recent machine learning (ML) literature for economics and
econometrics. First we discuss the differences in goals, methods, and settings between the …

Electronic health records (EHRs) adoption has become nearly universal during the past
decade. Academic research into the effects of EHRs has examined factors influencing …

We study the effect of physician workforce diversity on the demand for preventive care
among African American men. In an experiment in Oakland, California, we randomize black …

I believe that machine learning (ML) will have a dramatic impact on the field of economics
within a short time frame. Indeed, the impact of ML on economics is already well underway …

The synthetic control method (SCM) is a popular approach for estimating the impact of a
treatment on a single unit in panel data settings. The “synthetic control” is a weighted …

We study the effects of industrial robots on US labor markets. We show theoretically that
robots may reduce employment and wages and that their local impacts can be estimated …

Can machine learning improve human decision making? Bail decisions provide a good test
case. Millions of times each year, judges make jail-or-release decisions that hinge on a …

In this paper, we discuss recent developments in econometrics that we view as important for
empirical researchers working on policy evaluation questions. We focus on three main …

Gun violence is the most pressing public safety problem in US cities. We report results from
a randomized controlled trial (N= 2,456) of a community-researcher partnership called the …

Innovations in statistical technology in functions including credit‐screening have raised
concerns about distributional impacts across categories such as race. Theoretically …