Regression Discontinuity Designs

IF 6.8 2区 经济学 Q1 ECONOMICS
M. D. Cattaneo, J. Escanciano
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引用次数: 23

Abstract

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.
回归不连续设计
回归不连续性(RD)设计是用于因果推理和程序评估的最广泛使用的非实验方法之一。在过去的二十年里,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、推断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,对这些方法论文献进行了精心策划的综述。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)估计和推断,介绍基于局部多项式回归的最流行方法和实验分析方法,以及改进、扩展和替代方法;以及(c)验证和伪造,总结了一系列主要是实证的方法,以支持研发设计在实践中的有效性。
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来源期刊
CiteScore
9.70
自引率
3.60%
发文量
34
期刊介绍: The Annual Review of Economics covers significant developments in the field of economics, including macroeconomics and money; microeconomics, including economic psychology; international economics; public finance; health economics; education; economic growth and technological change; economic development; social economics, including culture, institutions, social interaction, and networks; game theory, political economy, and social choice; and more.
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