Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects
Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects
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DOI：
10.1257/jel.20191450
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发表时间：
2021-06-01
影响因子：
12.6
通讯作者：
Abadie, Alberto
中科院分区：
文献类型：
--
作者：
Abadie, Alberto
可能是因为它们的可解释性和透明性，综合控制已被广泛应用于经济学和社会科学的实证研究。本文旨在为研究人员采用综合控制方法提供实践指导。本文首先概述和介绍合成控制估计。主要部分讨论了合成控制框架作为研究设计的优势，并描述了合成控制提供可靠估计的设置和它们可能失败的设置。文章最后讨论了最近的扩展，相关的方法，以及未来的研究途径。
Probably because of their interpretability and transparent nature, synthetic controls have become widely applied in empirical research in economics and the social sciences. This article aims to provide practical guidance to researchers employing synthetic control methods. The article starts with an overview and an introduction to synthetic control estimation. The main sections discuss the advantages of the synthetic control framework as a research design, and describe the settings where synthetic controls provide reliable estimates and those where they may fail. The article closes with a discussion of recent extensions, related methods, and avenues for future research.