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The Stata Journal
Volume 17 Number 2: pp. 372-404

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rdrobust: Software for regression-discontinuity designs

Sebastian Calonico
University of Miami
Miami, FL
Matias D. Cattaneo
University of Michigan
Ann Arbor, MI
Max H. Farrell
University of Chicago
Chicago, IL
Rocío Titiunik
University of Michigan
Ann Arbor, MI
Abstract.  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 regression-discontinuity designs. The main new features of this upgraded version are as follows: i) covariate-adjusted bandwidth selection, point estimation, and robust bias-corrected inference, ii) cluster–robust bandwidth selection, point estimation, and robust bias-corrected inference, iii) weighted global polynomial fits and pointwise confidence bands in regression-discontinuity plots, and iv) several new bandwidth selection methods, including different bandwidths for control and treatment groups, coverage error-rate optimal bandwidths, and optimal bandwidths for fuzzy designs. In addition, the upgraded package has superior performance because of several numerical and implementation improvements. We also discuss issues of backward compatibility and provide a companion R package with the same syntax and capabilities.
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