Strategy-proof budgeting via a VCG-like mechanism

• A VCG application as a (divisible) Participatory Budgeting mechanism. • Technical challenges: No direct revelation, non quasi-linear utilities • Conceptual Challenge: VCG involves monetary transfers, which is out of place. • Main result #1: a DSIC PB mechanism for scalar-separable concave utilities. • Main result #2: the VCG-like payments vanish in large populations. We present a strategy-proof public goods budgeting mechanism where agents determine both the total volume of expanses and the specific allocation. It is constructed as a modification of VCG to a non-typical environment, namely where we do not assume quasi-linear utilities nor direct revelation. We further show that under plausible assumptions it satisfies strategyproofness in strictly dominant strategies, and consequently implements the social optimum as a Coalition-Proof Nash Equilibrium. A primary (albeit not an exclusive) motivation of our model is Participatory Budgeting, where members of a community collectively decide the spending policy of public tax dollars. While incentives alignment in our mechanism, as in classic VCG, is achieved via individual payments we charge from agents, in a PB context that seems unreasonable. Our second main result thus provides that, under further specifications relevant in that context, these payments will vanish in large populations. In the last section we expand the mechanism’s definition to a class of mechanisms in which the designer can prioritize certain outcomes she sees as desirable. In particular we give the example of favoring equitable/egalitarian allocations.

Authors

Institutions

Publication Details

Journal
Theoretical Computer Science
Published
2026-01-03
DOI
https://doi.org/10.1016/j.tcs.2025.115720
Primary Topic
Game Theory and Voting Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Strategy-proof budgeting via a VCG-like mechanism

Reshef Meir, Jonathan Wagner
Theoretical Computer Science
Game Theory and Voting Systems
article

Strategy-proof budgeting via a VCG-like mechanism

Reshef Meir, Jonathan Wagner
article en

Abstract

• A VCG application as a (divisible) Participatory Budgeting mechanism. • Technical challenges: No direct revelation, non quasi-linear utilities • Conceptual Challenge: VCG involves monetary transfers, which is out of place. • Main result #1: a DSIC PB mechanism for scalar-separable concave utilities. • Main result #2: the VCG-like payments vanish in large populations. We present a strategy-proof public goods budgeting mechanism where agents determine both the total volume of expanses and the specific allocation. It is constructed as a modification of VCG to a non-typical environment, namely where we do not assume quasi-linear utilities nor direct revelation. We further show that under plausible assumptions it satisfies strategyproofness in strictly dominant strategies, and consequently implements the social optimum as a Coalition-Proof Nash Equilibrium. A primary (albeit not an exclusive) motivation of our model is Participatory Budgeting, where members of a community collectively decide the spending policy of public tax dollars. While incentives alignment in our mechanism, as in classic VCG, is achieved via individual payments we charge from agents, in a PB context that seems unreasonable. Our second main result thus provides that, under further specifications relevant in that context, these payments will vanish in large populations. In the last section we expand the mechanism’s definition to a class of mechanisms in which the designer can prioritize certain outcomes she sees as desirable. In particular we give the example of favoring equitable/egalitarian allocations.

Theoretical Computer ScienceVol. 1067
Technion – Israel Institute of Technology (IL)
Partnerships for the goals
Openalex Percentile: Top 99%
Game Theory and Voting Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.