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

Matias Cattaneo, Rocio Titiunik and Gonzalo Vazquez-Bare ()
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Gonzalo Vazquez-Bare: University of California, Santa Barbara

Stata Journal, 2020, vol. 20, issue 4, 866-891

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.

Keywords: rdmulti; rdmc; rdmcplot; rdms; regression discontinuity designs; multiple cutoffs; multiple scores; local polynomial methods (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (16)

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Working Paper: Analysis of Regression Discontinuity Designs with Multiple Cutoffs or Multiple Scores (2020)
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DOI: 10.1177/1536867X20976320

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