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Replication data for: Comparative Politics and the Synthetic Control Method

By Jens Hainmueller · as credited by the source

Published 2026-05-11 · American Journal of Political Science (AJPS) Dataverse

Deposited on Harvard Dataverse doi:10.7910/DVN/24714 licence: see repository 7 files
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About this dataset

In recent years a widespread consensus has emerged about the necessity of establishing bridges between quantitative and qualitative approaches to empirical research in political science. In this article, we discuss the use of the synthetic control method as a way to bridge the quantitative/qualitative divide in comparative politics. The synthetic control method provides a systematic way to choose comparison units in comparative case studies. This systematization opens the door to precise quantitative inference in small-sample comparative studies, without precluding the application of qualitati …

Collection: American Journal of Political Science (AJPS) Dataverse

Comparative case studiesSynthetic control methodDifference-in-differencesGerman reunificationMatches

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Cite

@dataset{hainmueller2026,
  title     = {Replication data for: Comparative Politics and the Synthetic Control Method},
  author    = {Hainmueller, Jens},
  year      = {2026},
  publisher = {Harvard Dataverse},
  doi       = {10.7910/DVN/24714},
  url       = {https://doi.org/10.7910/DVN/24714}
}

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Description

Data model
Discipline
Social sciences
Method family
Empirical (quantitative)Replication
Design
Difference-in-differencesSynthetic control
Research stage
Data acquisition
Contributors
Jens Hainmueller (Data curation)
Usage
not used in published research yet
Source
Harvard Dataverse · American Journal of Political Science (AJPS) Dataverse
Record
dataset:dataverse/10-7910-dvn-24714 · JSON

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