This work was supported in part by the National Science Foundation through grants SES-1357561 and SES-1459931.

Software available in R and Stata:
rdrobust: inference and graphical procedures using local polynomial and partitioning regression methods.
rdlocrand: finite-sample inference using local randomization methods.
rddensity: manipulation testing using local polynomial density methods.
rdmulti: estimation, inference, RD Plots, and extrapolation with multiple cutoffs and multiple scores.
rdpower: power and sample size calculations using robust bias-corrected local polynomial inference.

Contributors:
Sebastian Calonico, Columbia University
Matias D. Cattaneo, Princeton University
Max H. Farrell, University of Chicago
Michael Jansson, UC Berkeley and CREATES
Xinwei Ma, UC San Diego
Rocio Titiunik, Princeton University
Gonzalo Vazquez-Bare, UC Santa Barbara

Recent reviews and discussions employing these methods and software:
Cattaneo and Titiunik (2019): Regression Discontinuity Designs: A Review, coming soon.
Cattaneo, Idrobo and Titiunik (2019): A Practical Introduction to Regression Discontinuity Designs: Foundations.
Cambridge Elements: Quantitative and Computational Methods for Social Science, Cambridge University Press.
Replication Files
Cattaneo, Idrobo and Titiunik (2019): A Practical Introduction to Regression Discontinuity Designs: Extensions.
Cambridge Elements: Quantitative and Computational Methods for Social Science, Cambridge University Press.
Replication Files
Cattaneo, Titiunik and Vazquez-Bare (2019): The Regression Discontinuity Design.
Handbook of Research Methods in Political Science and International Relations, Sage Publications.
Replication Files
Cattaneo, Titiunik and Vazquez-Bare (2017): Comparing Inference Approaches for RD Designs: A Reexamination of the Effect of Head Start on Child Mortality.
Journal of Policy Analysis and Management 36(3): 643-681.
Replication Files
Cattaneo and Vazquez-Bare (2016): The Choice of Neighborhood in Regression Discontinuity Designs.
Observational Studies 2: 134-146.