Replication files and illustration codes using RD Packages.
This work was supported in part by the National Science Foundation through grants SES-1357561, SES-1459931, SES-1947805 and SES-2019432, and by the National Institutes of Health through grant R01 GM072611-16.
Cattaneo, Idrobo and Titiunik (2020): A Practical Introduction to Regression Discontinuity Designs: Foundations.
Cambridge Elements: Quantitative and Computational Methods for Social Science, Cambridge University Press. Erratum.
Cattaneo, Idrobo and Titiunik (2024): A Practical Introduction to Regression Discontinuity Designs: Extensions.
Cambridge Elements: Quantitative and Computational Methods for Social Science, Cambridge University Press.
Cattaneo, Keele and Titiunik (2023): A Guide to Regression Discontinuity Designs in Medical Applications.
Statistics in Medicine 42(24): 4484-4513.
Cattaneo and Titiunik (2021): RD Tutorial.
NBER Summer Institute Methods Lectures.
Cattaneo, Titiunik and Vazquez-Bare (2020): The Regression Discontinuity Design.
Handbook of Research Methods in Political Science and International Relations, Sage Publications, Ch. 44, pp. 835-857.
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.
Cattaneo, Keele, Titiunik and Vazquez-Bare (2021): Extrapolating Treatment Effects in Multi-Cutoff Regression Discontinuity Designs.
Journal of the American Statistical Association 116(536): 1941-1952.
Cattaneo, Jansson and Ma (2020): Simple Local Polynomial Density Estimators.
Journal of the American Statistical Association 115(531): 1449-1455.
Calonico, Cattaneo and Farrell (2020): Optimal Bandwidth Choice for Robust Bias Corrected Inference in Regression Discontinuity Designs.
Econometrics Journal 23(2): 192-210.
Calonico, Cattaneo, Farrell and Titiunik (2019): Regression Discontinuity Designs Using Covariates.
Review of Economics and Statistics 101(3): 442-451.
Cattaneo, Frandsen and Titiunik (2015): Randomization Inference in the Regression Discontinuity Design: An Application to Party Advantages in the U.S. Senate.
Journal of Causal Inference 3(1): 1-24.