rdpower-package: rdpower: Power and Sample Size Calculations for RD Designs

Description Author(s) References


The regression discontinuity (RD) design is a popular quasi-experimental design for causal inference and policy evaluation. The 'rdpower' package provides tools to perform power and sample size calculations in RD designs: rdpower() calculates the power of an RD design and rdsampsi() calculates the required sample size to achieve a desired power. This package relies on the rdrobust package. See Calonico, Cattaneo and Titiunik (2014, 2015) and Calonico, Cattaneo, Farrell and Titiunik (2017). For more details, and related Stata and R packages useful for analysis of RD designs, visit https://sites.google.com/site/rdpackages.


Matias Cattaneo, Princeton University. cattaneo@princeton.edu

Rocio Titiunik, Princeton University. titiunik@princeton.edu

Gonzalo Vazquez-Bare, UC Santa Barbara. gvazquez@econ.ucsb.edu


M.D. Cattaneo, R. Titiunik and G. Vazquez-Bare. (2019). Power Calculations for Regression Discontinuity Designs. Stata Journal, 19(1): 210-245.

M.D. Cattaneo, S. Calonico and R. Titiunik. (2014). Robust Data-Driven Inference in the Regression-Discontinuity Design. Stata Journal 14(4): 909-946.

M.D. Cattaneo, S. Calonico and R. Titiunik. (2015). rdrobust: An R Package for Robust Nonparametric Inference in Regression-Discontinuity Designs. R Journal 7(1): 38-51.

M.D. Cattaneo, S. Calonico, M. Farrell and R. Titiunik. (2017). rdrobust: Software for Regression Discontinuity Designs. Stata Journal 17(2): 372-404.

rdpower documentation built on April 14, 2020, 6:56 p.m.