Matias D. Cattaneo, Rocio Titiunik, Gonzalo Vazquez-Bare
arXiv 16 Dec 2019 · Statistics — Computation · publishedThe Stata Journal Promoting communications on statistics and Stata (2020) · 13 citations (OpenAlex)
arXiv:1912.07346 · PDF · DOI · OpenAlex · Extracted main text
We introduce the Stata (and R) package rdmulti, which includes three commands (rdmc, rdmcplot, rdms) for analyzing Regression Discontinuity (RD) designs with multiple cutoffs or multiple scores. The command rdmc applies to non-cumulative and cumulative multi-cutoff RD settings. It calculates pooled and cutoff-specific RD treatment effects, and provides robust bias-corrected inference procedures. Post estimation and inference is allowed. The command rdmcplot offers RD plots for multi-cutoff settings. Finally, the command rdms concerns multi-score settings, covering in particular cumulative cutoffs and two running variables contexts. It also calculates pooled and cutoff-specific RD treatment effects, provides robust bias-corrected inference procedures, and allows for post-estimation estimation and inference. These commands employ the Stata (and R) package rdrobust for plotting, estimation, and inference. Companion R functions with the same syntax and capabilities are provided.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Cattaneo, M. D., L. Keele, R. Titiunik, and G. Vazquez-Bare (2016) Interpreting Regression Discontinuity Designs with Multiple Cutoffs self | 0.874 | 5 | 2 | 100% |
| 2 | Cattaneo, M. D., N. Idrobo, and R. Titiunik (2020) A Practical Introduction to Regression Discontinuity Designs: Extensions self | 0.811 | 4 | 2 | 100% |
| 3 | Cattaneo, M. D., L. Keele, R. Titiunik, and G. Vazquez-Bare (2021) Extrapolating Treatment Effects in Multi-Cutoff Regression Discontinuity Designs self | 0.811 | 4 | 2 | 100% |
| 4 | Calonico, S., M. D. Cattaneo, M. H. Farrell, and R. Titiunik (2017) rdrobust: Software for Regression Discontinuity Designs self | 0.737 | 3 | 2 | 100% |
| 5 | Calonico, S., M. D. Cattaneo, and R. Titiunik (2014) Robust Data-Driven Inference in the Regression-Discontinuity Design self | 0.737 | 3 | 2 | 100% |
| 6 | Calonico, S., M. D. Cattaneo, and R. Titiunik (2015) rdrobust: An R Package for Robust Nonparametric Inference in Regression-Discontinuity Designs self | 0.737 | 3 | 2 | 100% |
| 7 | Keele, L. J., and R. Titiunik (2015) Geographic Boundaries as Regression Discontinuities | 0.737 | 3 | 2 | 100% |
| 8 | Cattaneo, M. D., N. Idrobo, and R. Titiunik (2019) A Practical Introduction to Regression Discontinuity Designs: Foundations self | 0.644 | 2 | 2 | 100% |
| 9 | Brollo, F., T. Nannicini, R. Perotti, and G. Tabellini (2013) The Political Resource Curse | 0.405 | 1 | 1 | 100% |
| 10 | Calonico, S., M. D. Cattaneo, M. H. Farrell, and R. Titiunik (2019) Regression Discontinuity Designs Using Covariates self | 0.405 | 1 | 1 | 100% |
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