rdpower 1.0.0

Power Calculations for RD Designs

rdpower: Power and Sample Size Calculations for RD Designs

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, sample size and MDE calculations in RD designs: rdpower calculates the power of an RD design, rdsampsi calculates the required sample size to achieve a desired power and rdmde calculates minimum detectable effects. This package relies on the rdrobust package. See Calonico, Cattaneo and Titiunik (2014, 2015) and Calonico, Cattaneo, Farrell and Titiunik (2017). For more details visit \url{https://rdpackages.github.io/}.

References

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

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

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

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

Authors

• Matias Cattaneo, Princeton University. Email: [e-mail]
• Rocio Titiunik, Princeton University. Email: [e-mail]
• Ricardo Masini, UC Davis. Email: [e-mail]
• Gonzalo Vazquez-Bare, UC Santa Barbara. Email: [e-mail]