The package rdmulti implements estimation, inference, and graphical procedures for Regression Discontinuity (RD) designs with multiple cutoffs or multiple scores.
rdmc: point estimation and robust bias-corrected inference for multi-cutoff designs.rdmcplot: data-driven RD plots for multi-cutoff designs.rdms: point estimation and robust bias-corrected inference for multi-score designs.
To install/update in Python type:
pip install rdmulti
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Help: PYPI repository.
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Replication: rdmulti illustration, multi-cutoff data, cumulative-cutoff data, multi-score data.
To install/update in R type:
install.packages('rdmulti')
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Help: R Manual, CRAN repository.
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Replication: rdmulti illustration, rdmcplot illustration, multi-cutoff data, cumulative-cutoff data, multi-score data, R illustration.
To install/update in Stata type:
net install rdmulti, from(https://raw.githubusercontent.com/rdpackages/rdmulti/main/stata) replace
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Replication: rdmulti illustration, rdmcplot illustration, multi-cutoff data, cumulative-cutoff data, multi-score data.
For overviews and introductions, see the rdpackages website.
- Cattaneo, Titiunik and Vazquez-Bare (2020): Analysis of Regression Discontinuity Designs with Multiple Cutoffs or Multiple Scores.
Stata Journal 20(4): 866-891.
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Keele and Titiunik (2015): Geographic Boundaries as Regression Discontinuities.
Political Analysis 23(1): 127-155. -
Cattaneo, Keele, Titiunik and Vazquez-Bare (2016): Interpreting Regression Discontinuity Designs with Multiple Cutoffs.
Journal of Politics 78(4): 1229-1248.
Supplemental Appendix. -
Cattaneo, Keele, Titiunik and Vazquez-Bare (2020): Extrapolating Treatment Effects in Multi-Cutoff Regression Discontinuity Designs.
Journal of the American Statistical Association 116(536): 1941-1952.
Supplemental Appendix.
This work was supported in part by the National Science Foundation through grant SES-1357561.