Funding Public Projects: A Case for the Nash Product Rule
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Abstract (arXiv)
We study a mechanism design problem where a community of agents wishes to fund public projects via voluntary monetary contributions by the community members. This serves as a model for public expenditure without an exogenously available budget, such as participatory budgeting or voluntary tax programs, as well as donor coordination when interpreting charities as public projects and donations as contributions. Our aim is to identify a mutually beneficial distribution of the individual contributions. In the preference aggregation problem that we study, agents report linear utility functions over projects together with the amount of their contributions, and the mechanism determines a socially optimal distribution of the money. We identify a specific mechanism -- the Nash product rule -- which picks the distribution that maximizes the product of the agents' utilities. This rule is Pareto efficient, and we prove that it satisfies attractive incentive properties: it spends each agent's contribution only on projects the agent finds acceptable, and agents are strongly incentivized to participate.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 May 2020.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 1; 2024: 0; 2025: 0; 2026: 1.
4 papers.
- 2021Participatory Budgeting with Donations and Diversity Constraintscited by 0
- 2022Combinatorial Civic Crowdfunding with Budgeted Agents: Welfare Optimality at Equilibrium and Optimal Deviationcited by 0
- 2023Aggregating Correlated Estimations with (Almost) no Trainingcited by 0
- 2026Procedural Fairness in Multi-Agent Banditscited by 0
- 2026Procedural Fairness in Multi-Agent Bandits15 Jan 2026
- 2023Aggregating Correlated Estimations with (Almost) no Training5 Sep 2023
- 2022Combinatorial Civic Crowdfunding with Budgeted Agents: Welfare Optimality at Equilibrium and Optimal Deviation25 Nov 2022
- 2021Participatory Budgeting with Donations and Diversity Constraints30 Apr 2021