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Analysis of regression-discontinuity designs with multiple cutoffs or multiple scores
The Stata Journal: Promoting communications on statistics and Stata ( IF 3.2 ) Pub Date : 2020-12-22 , DOI: 10.1177/1536867x20976320
Matias D. Cattaneo 1 , Rocío Titiunik 1 , Gonzalo Vazquez-Bare 2
Affiliation  

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.



中文翻译:

具有多个临界点或多个分数的回归非连续性设计分析

在本文中,我们介绍了Stata(和R)软件包rdmulti,该软件包由三个命令(rdmcrdmcplotrdms)组成,用于分析具有多个临界值或多个分数的回归不连续性(RD)设计。命令rdmc适用于非累积和累积多截止RD设置。它计算合并的和截止特定的RD处理效果,并提供可靠的偏差校正推断程序。允许后估计和推断。命令rdmcplot提供用于多截止设置的RD图。最后,命令rdms涉及多分数设置,尤其涉及累积截止值和两个运行变量上下文。它还计算合并和截止特定的RD处理效果,提供可靠的偏差校正推断程序,并允许事后估计和推断。这些命令使用Stata(和R)软件包rdrobust进行绘图,估计和推断。提供了具有相同语法和功能的Companion R函数。

更新日期:2020-12-22
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