Optimal Budget Aggregation with Star-Shaped Preference Domains
Felix Brandt, Matthias Greger, Erel Segal-Halevi, Warut Suksompong

TL;DR
This paper explores mechanisms for aggregating budget proposals under star-shaped preferences, extending existing models, establishing impossibility results, and proposing a new utility model that achieves efficiency, strategyproofness, and fairness.
Contribution
It introduces a new class of star-shaped utility functions for budget aggregation, proves the uniqueness of the uniform phantom mechanism for two alternatives, and presents a mechanism based on Nash product maximization that balances efficiency, strategyproofness, and fairness.
Findings
The uniform phantom mechanism is uniquely strategyproof and proportional for two alternatives.
Impossibility results show no mechanism can satisfy efficiency, strategyproofness, and proportionality for more than two alternatives under certain disutilities.
A new star-shaped utility model based on budget share ratios allows for mechanisms that satisfy all key properties.
Abstract
We study the problem of aggregating distributions, such as budget proposals, into a collective distribution. An ideal aggregation mechanism would be Pareto efficient, strategyproof, and fair. Most previous work assumes that agents evaluate budgets according to the distance to their ideal budget. We investigate and compare different models from the larger class of star-shaped utility functions - a multi-dimensional generalization of single-peaked preferences. For the case of two alternatives, we extend existing results by proving that under very general assumptions, the uniform phantom mechanism is the only strategyproof mechanism that satisfies proportionality - a minimal notion of fairness introduced by Freeman et al. (2021). Moving to the case of more than two alternatives, we establish sweeping impossibilities for and disutilities: no mechanism…
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Taxonomy
TopicsDecision-Making and Behavioral Economics · Economic theories and models · Game Theory and Voting Systems
