Regression Discontinuity Designs
Regression Discontinuity Designs
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DOI：
10.1146/annurev-economics-051520-021409
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发表时间：
2022-01-01
影响因子：
5.6
通讯作者：
Titiunik, Rocio
中科院分区：
文献类型：
--
作者：
Cattaneo, Matias D.;Titiunik, Rocio
断点回归（RD）设计是因果推理和程序评估中使用最广泛的非实验方法之一。在过去的二十年中，用于RD分析的统计和计量经济学方法已经扩展和成熟，现在有大量用于RD识别、估计、推理和验证的方法学结果。我们围绕两个最流行的 RD 设计分析和解释框架：连续性框架和局部随机化框架，对该方法论文献进行了精心策划的回顾。对于每个框架，我们讨论三个主要主题：（a）设计和参数，重点关注不同类型的 RD 设置和感兴趣的治疗效果； (b) 估计和推理，提出基于局部多项式回归的最流行的方法和实验分析方法，以及改进、扩展和替代方法； (c) 验证和证伪，总结了一系列主要以经验为基础的方法来支持 RD 设计在实践中的有效性。
The regression discontinuity (RD) design is one of the most widely used nonexperimental methods for causal inference and program evaluation. Over the last two decades, statistical and econometric methods for RD analysis have expanded and matured, and there is now a large number of methodological results for RD identification, estimation, inference, and validation. We offer a curated review of this methodological literature organized around the two most popular frameworks for the analysis and interpretation of RD designs: the continuity framework and the local randomization framework. For each framework, we discuss three main topics: (a) designs and parameters, focusing on different types of RD settings and treatment effects of interest; (b) estimation and inference, presenting the most popular methods based on local polynomial regression and methods for the analysis of experiments, as well as refinements, extensions, and alternatives; and (c) validation and falsification, summarizing an array of mostly empirical approaches to support the validity of RD designs in practice.