Replication Data for Elected Autocrats and Democratic Vulnerability in Latin America

Replication data and code for a study on why some elected autocrats fail, published in the journal Democratization. The dataset was authored by Gabriel Leonardo Negretto and is hosted by Harvard Dataverse. It was last updated on April 22, 2026.

Use Cases

• Replicate statistical analyses on democratic vulnerability based on the study's methodology.
• Conduct comparative case studies of elected autocrats in Latin America using the provided data.
• Test alternative hypotheses about regime failure and political survival using the replication code.

Strengths

• Data is directly linked to a peer-reviewed publication in Democratization, providing academic credibility.
• Includes replication code, which facilitates transparency and reproducibility of the original analysis.
• Last updated on 2026-04-22, suggesting recent maintenance.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file size are unknown, which may limit suitability assessment for large-scale analysis.
• The description metadata is limited to citation information; data scope and variables require manual inspection.

Provenance

Source

Harvard Dataverse

Collection Method

Likely compiled for academic research and statistical analysis.

Freshness

Last updated 2026-04-22 17:47:31; freshness should be verified.

Geography

Latin America