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

被引:28
作者
Cattaneo, Matias D. [1 ]
Titiunik, Rocio [2 ]
Vazquez-Bare, Gonzalo [3 ]
机构
[1] Princeton Univ, Dept Operat Res & Financial Engn, Princeton, NJ 08544 USA
[2] Princeton Univ, Polit Sci, Princeton, NJ 08544 USA
[3] Univ Calif Santa Barbara, Econ, Santa Barbara, CA 93106 USA
基金
美国国家科学基金会;
关键词
st0620; rdmulti; rdmc; rdmcplot; rdms; regression discontinuity designs; multiple cutoffs; multiple scores; local polynomial methods; INFERENCE; RDROBUST;
D O I
10.1177/1536867X20976320
中图分类号
O1 [数学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 0701 ; 070101 ;
摘要
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 calculates pooled and cutoff-specific RD treatment effects and provides robust biascorrected inference procedures. Postestimation and inference is allowed. The command rdmcplot offers RD plots for multicutoff settings. Finally, the command 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.
引用
收藏
页码:866 / 891
页数:26
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