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Analysis of regression-discontinuity designs with multiple cutoffs or multiple scores

Author

Listed:
  • Matias D. Cattaneo

    (Princeton University)

  • Rocío Titiunik

    (Princeton University)

  • Gonzalo Vazquez-Bare

    (University of California, Santa Barbara)

Abstract

In this article, we introduce the Stata (and R) package rdmulti, which consists of three commands (rdmc, rdmcplot, rdms) for analyzing regression- discontinuity (RD) designs with multiple cutoffs or multiple scores. The command rdmc applies to noncumulative and cumulative multicutoff RD settings. It calcu- lates pooled and cutoff-specific RD treatment effects and provides robust bias- corrected inference procedures. Postestimation and inference is allowed. The command rdmcplot offers RD plots for multicutoff settings. Finally, the com- mand rdms concerns multiscore settings, covering in particular cumulative cutoffs and two running variable contexts. It also calculates pooled and cutoff-specific RD treatment effects, provides robust bias-corrected inference procedures, and allows for postestimation and inference. These commands use the Stata (and R) package rdrobust for plotting, estimation, and inference. Companion R functions with the same syntax and capabilities are provided.

Suggested Citation

  • Matias D. Cattaneo & Rocío Titiunik & Gonzalo Vazquez-Bare, 2020. "Analysis of regression-discontinuity designs with multiple cutoffs or multiple scores," Stata Journal, StataCorp LLC, vol. 20(4), pages 866-891, December.
  • Handle: RePEc:tsj:stataj:v:20:y:2020:i:4:p:866-891
    DOI: 10.1177/1536867X20976320
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    17. Masayuki Sawada & Takuya Ishihara & Daisuke Kurisu & Yasumasa Matsuda, 2024. "Local-Polynomial Estimation for Multivariate Regression Discontinuity Designs," Papers 2402.08941, arXiv.org, revised Jan 2026.
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    20. Giuseppe Francesco Gori & Patrizia Lattarulo & Marco Mariani & Laura Razzolini, 2024. "The Expediting Effect of Monitoring on Infrastructural Works. A Regression-Discontinuity Approach with Multiple Assignment Variables," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 10(1), pages 197-224, March.
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    23. Anderson, Drew M. & Zaber, Melanie A., 2025. "Buying time: Financial aid allows college students to work less while enrolled," Economics of Education Review, Elsevier, vol. 108(C).
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