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Analysis of RD Designs with multiple cutoffs or scores

Project description

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.
  • rdms() estimates effects in cumulative cutoffs or multi-score designs.

For more details, visit https://rdpackages.github.io/rdmulti.

References

  1. Calonico, S., M.D. Cattaneo, M. Farrell, and R. Titiunik. (2017). rdrobust: Software for Regression Discontinuity Designs. Stata Journal 17(2): 372-404.
  2. Calonico, S., M.D. Cattaneo, and R. Titiunik. (2014). Robust Data-Driven Inference in the Regression-Discontinuity Design. Stata Journal 14(4): 909-946.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. Keele, L., and R. Titiunik. (2015). Geographic Boundaries as Regression Discontinuities. Political Analysis 23(1): 127-155

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