Voter and Donor Mobilization via Incidental Participation

Individual-level data analyzes how incidental participation in political activities mobilizes individuals for voting and donating. The dataset was created by author Sara Kirshbaum and hosted by the Political Behavior Dataverse, with a last update recorded in April 2026. Replication code and data access instructions are provided for the analysis.

Use Cases

• Analyze the relationship between incidental_participation_activity and subsequent voter_turnout.
• Model the impact of incidental_participation_activity on donation_amount using regression techniques.
• Identify demographic predictors of mobilization by joining individual-level data with voter or donor registries.
• Assess the causal effect of specific mobilization events on voting_behavior and donation_frequency.

Strengths

• Includes replication code for full project analysis, ensuring reproducibility.
• Hosted by the specialized Political Behavior Dataverse, suggesting domain relevance.

Limitations

• Individual-level data access requires following separate instructions, indicating potential access barriers.
• Specific row count, column names, and sample size are unknown, limiting immediate assessment of scale.
• The raw description lacks concrete metrics on data volume, temporal coverage, or geographic scope.

Provenance

Source

Political Behavior Dataverse

Collection Method

Individual-level data collected for analysis; specific collection method not detailed.

Freshness

Last updated in April 2026.