Truthful Aggregation of Budget Proposals
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Abstract (arXiv)
We consider a participatory budgeting problem in which each voter submits a proposal for how to divide a single divisible resource (such as money or time) among several possible alternatives (such as public projects or activities) and these proposals must be aggregated into a single aggregate division. Under ℓ1 preferences -- for which a voter's disutility is given by the ℓ1 distance between the aggregate division and the division he or she most prefers -- the social welfare-maximizing mechanism, which minimizes the average ℓ1 distance between the outcome and each voter's proposal, is incentive compatible (Goel et al. 2016). However, it fails to satisfy the natural fairness notion of proportionality, placing too much weight on majority preferences. Leveraging a connection between market prices and the generalized median rules of Moulin (1980), we introduce the independent markets mechanism, which is both incentive compatible and proportional. We unify the social welfare-maximizing mechanism and the independent markets mechanism by defining a broad class of moving phantom mechanisms that includes both. We show that every moving phantom mechanism is incentive compatible. Finally, we characterize the social welfare-maximizing mechanism as the unique Pareto-optimal mechanism in this class, suggesting an inherent tradeoff between Pareto optimality and proportionality.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 May 2019.
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Citing papers per year: 2021: 2; 2022: 2; 2023: 1; 2024: 1; 2025: 1; 2026: 3.
10 papers.
- 2023Temporal Fairness in Multiwinner Votingcited by 14
- 2021Strategyproof and Proportionally Fair Facility Locationcited by 6
- 2022Random Rank: The One and Only Strategyproof and Proportionally Fair Randomized Facility Location Mechanismcited by 3
- 2022Indivisible Participatory Budgeting under Weak Rankingscited by 1
- 2021Participatory Budgeting with Donations and Diversity Constraintscited by 0
- 2024Facility Location Games with Scaling Effectscited by 0
- 2025Fraud-Proof Revenue Division on Subscription Platformscited by 0
- 2026Learning Unanimously Acceptable Lotteries via Queriescited by 0
- 2026The End Justifies the Mean: A Linear Ranking Rule for Proportional Sequential Decisionscited by 0
- 2026AI of the People, by the People, for the People: A Social Choice Approach to Collective Control of Artificial Intelligencecited by 0
- 2026The End Justifies the Mean: A Linear Ranking Rule for Proportional Sequential Decisions12 May 2026
- 2026Learning Unanimously Acceptable Lotteries via Queries19 Apr 2026
- 2026AI of the People, by the People, for the People: A Social Choice Approach to Collective Control of Artificial Intelligence14 Apr 2026
- 2025Fraud-Proof Revenue Division on Subscription Platforms6 Nov 2025
- 2024Facility Location Games with Scaling Effects29 Feb 2024
- 2023Temporal Fairness in Multiwinner Voting7 Dec 2023
- 2022Indivisible Participatory Budgeting under Weak Rankings16 Jul 2022
- 2022Random Rank: The One and Only Strategyproof and Proportionally Fair Randomized Facility Location Mechanism30 May 2022
- 2021Strategyproof and Proportionally Fair Facility Location2 Nov 2021
- 2021Participatory Budgeting with Donations and Diversity Constraints30 Apr 2021