| rdmulti-package {rdmulti} | R Documentation |
rdmulti: analysis of RD Designs with multiple cutoffs or scores
Description
The regression discontinuity (RD) design is a popular quasi-experimental design
for causal inference and policy evaluation. The 'rdmulti' package provides tools
to analyze RD designs with multiple cutoffs or scores: rdmc() estimates
pooled and cutoff-specific effects in multi-cutoff designs, rdmcplot()
draws RD plots for multi-cutoff RD designs and rdms() estimates effects in
cumulative cutoffs or multi-score designs. For more details, and related Stata and
R packages useful for analysis of RD designs, visit https://rdpackages.github.io/.
Author(s)
Matias Cattaneo, Princeton University. cattaneo@princeton.edu
Rocio Titiunik, Princeton University. titiunik@princeton.edu
Gonzalo Vazquez-Bare, UC Santa Barbara. gvazquez@econ.ucsb.edu
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., L. Keele, R. Titiunik and G. Vazquez-Bare. (2016). Interpreting Regression Discontinuity Designs with Multiple Cutoffs. Journal of Politics 78(4): 1229-1248.
Cattaneo, M.D., L. Keele, R. Titiunik and G. Vazquez-Bare. (2020). Extrapolating Treatment Effects in Multi-Cutoff Regression Discontinuity Designs. Journal of the American Statistical Association 116(536): 1941, 1952.
Cattaneo, M.D., R. Titiunik and G. Vazquez-Bare. (2020). Analysis of Regression Discontinuity Designs with Multiple Cutoffs or Multiple Scores. Stata Journal 20(4): 866-891.
Keele, L. and R. Titiunik. (2015). Geographic Boundaries as Regression Discontinuities. Political Analysis 23(1): 127-155