Simulation and laboratory experiment data from Charroin, Liza, investigating how logrolling affects voting rule performance. The analysis compares simple majority and unanimity rules under scenarios where committee members trade votes across multiple binary decisions. Results suggest cognitive constraints and other-regarding preferences mitigate the impact of complex logrolling deals.
Use Cases
- Modeling the impact of vote trading on aggregate payoff based on simulated committee decisions.
- Analyzing the conditions under which unanimity rule outperforms majority rule based on the number of proposals considered.
- Investigating human behavioral constraints on logrolling deals based on laboratory experiment results.
- Comparing the performance of q-majority rules under sincere voting versus strategic logrolling.
Strengths
- Data is derived from a controlled laboratory experiment designed to test theoretical simulations.
- Analysis includes both simulated scenarios and empirical human subject behavior.
- Last updated date is provided as 2026-06-28 07:10:07.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Data may reflect bias inherent to the specific laboratory experiment design and participant pool.
Provenance
- Source
- heiDATA Harvested Dataverse
- Collection Method
- Combines theoretical simulation exercises with a designed laboratory experiment.
- Freshness
- Last updated 2026-06-28 07:10:07; freshness should be verified.