Program evaluation methods are widely applied in economics to assess the effects of policy
interventions and other treatments of interest. In this article, we describe the main …

The regression discontinuity (RD) design is one of the most widely used nonexperimental
methods for causal inference and program evaluation. Over the last two decades, statistical …

In this Element, which continues our discussion in Foundations, the authors provide an
accessible and practical guide for the analysis and interpretation of Regression …

Modern empirical work in regression discontinuity (RD) designs often employs local
polynomial estimation and inference with a mean square error (MSE) optimal bandwidth …

We describe a major upgrade to the Stata (and R) rdrobust package, which provides a wide
array of estimation, inference, and falsification methods for the analysis and interpretation of …

In this article, we introduce two community-contributed commands, rddensity and
rdbwdensity, that implement automatic manipulation tests based on density discontinuity …

Binscatter is a popular method for visualizing bivariate relationships and conducting informal
specification testing. We study the properties of this method formally and develop enhanced …

This paper challenges the view that foreign investors lead firms to adopt a short-term
orientation and forgo long-term investment. Using a comprehensive sample of publicly listed …

We examine the effects of institutional ownership on firms׳ information and trading
environments using the annual Russell 1000/2000 index reconstitution. Characteristics of …

In the regression‐discontinuity (RD) design, units are assigned to treatment based on
whether their value of an observed covariate exceeds a known cutoff. In this design, local …