Survey Experiment on Corruption and Voting in Brazil's 2022 Presidential Election

Survey experiment conducted during Brazil's 2022 presidential election. The data was authored by Emily Elia and is hosted by Harvard Dataverse, with a last recorded update in May 2026.

Use Cases

• Analyze the causal impact of corruption information on voting intention based on the experimental design.
• Model the interaction between partisanship and corruption perceptions based on survey responses.
• Study voter behavior in a major democratic election based on the 2022 Brazilian presidential context.

Strengths

• Data is from a controlled survey experiment, which can support causal inference.
• Focuses on a specific, high-stakes political event: the 2022 Brazilian presidential election.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.

Provenance

Source

Harvard Dataverse

Collection Method

Survey experiment

Time Range

2022 (Brazilian presidential election period)

Freshness

Last updated 2026-05-06 21:19:43; freshness should be verified.

Geography

Brazil