Replication Files for "Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects"

Principal Investigator(s):  View help for Principal Investigator(s) Alberto Abadie, MIT

Version:  View help for Version V1

Name File Type Size Last Modified
README.pdf application/pdf 76.9 KB 06/16/2020 11:53:AM
repgermany.dta application/x-stata 43.4 KB 06/16/2020 11:52:AM
replication_code.R text/x-r-syntax 15.4 KB 11/22/2020 05:30:AM

Project Citation: 

Abadie, Alberto. Replication Files for “Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects.” Nashville, TN: American Economic Association [publisher], 2021. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-05-25. https://doi.org/10.3886/E119933V1

Project Description

Summary:  View help for Summary 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.
Funding Sources:  View help for Funding Sources NSF (SES-1756692)

Scope of Project

JEL Classification:  View help for JEL Classification
      C21 Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
      C23 Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models


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Published Versions

V1 [2021-05-25]

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