rdrobust: Software for regression-discontinuity designs
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.
View all articles by these authors:
Sebastian Calonico, Matias D. Cattaneo, Max H. Farrell, Rocío Titiunik
View all articles with these keywords:
rdrobust, rdbwselect, rdplot, regression discontinuity
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