Rdrobust: Software for Regression-discontinuity Designs

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Optimal bandwidth choice for robust bias-corrected inference in regression discontinuity designs (2018, methodology): “Thus, our results formalize the crucial importance of using fixed-n standard error formulas, as sometimes implemented in software for RD designs (Calonico et al., 2017).”
Power calculations for regression-discontinuity designs (2019, methodology): “See Calonico, Cattaneo, and Titiunik (2014a, 2015b) and Calonico et al. (2017) for an introduction to the commands rdrobust, rdbwselect, and rdplot for graphical presentation, estimation, and inference in RD designs using nonparametric local polynomial techniques.”
Manipulation Testing Based on Density Discontinuity (2018, methodology): “For an introduction to the latter commands, see Calonico, Cattaneo, and Titiunik (2014a, 2015b) and Calonico et al. (2017). Together, the five commands offer a complete toolkit for empirical work using RD designs.”
Breaking Ties: Regression Discontinuity Design Meets Market Design (2019, methodology): “Bandwidths are estimated two ways, as suggested by Imbens and Kalyanaraman (2012) (IK) using a uniform kernel, and using methods and software described in Calonico et al. (2017) (CCFT). These bandwidths are computed separately for each program (the notation ignores this), for the set of applicants i”