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rdrobust: Software for regression-discontinuity designs

Sebastian Calonico (), Matias Cattaneo (), Max H. Farrell () and Rocio Titiunik ()
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Max H. Farrell: University of Chicago

Stata Journal, 2017, vol. 17, issue 2, 372-404

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 band- width 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 implementa- tion improvements. We also discuss issues of backward compatibility and provide a companion R package with the same syntax and capabilities.

Keywords: rdrobust; rdbwselect; rdplot; regression discontinuity (search for similar items in EconPapers)
Date: 2017
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