Foreign Aid Punishments and Coup Recipient Democratization Data

Replication data for a study on the effectiveness of aid punishments following coups. The dataset, authored by Wakako Maekawa and hosted by Harvard Dataverse, was last updated in March 2026. Specific details on rows, columns, and variables are not provided in the input.

Use Cases

• Analyze the relationship between aid flow variables and democratization indicators following coups.
• Model the timing of aid punishments using event history data on coup occurrences.
• Investigate recipient country incentives by examining variables related to partial political reforms.

Strengths

• Data is associated with a peer-reviewed academic study, suggesting a defined research design.
• Hosted on the Harvard Dataverse platform, which provides structured archival.
• Last updated entry indicates recent platform activity in March 2026.

Limitations

• The input provides no information on dataset size, variables, or temporal coverage.
• Lack of column descriptions or sample data prevents assessment of structure and completeness.
• Scope is limited to the specific research question of aid and coups, which may narrow applicability.

Provenance

Source

Harvard Dataverse

Collection Method

Created as replication data for an academic study.

Time Range

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Freshness

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Geography

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