Weight‐ranked divide‐and‐conquer contracts

This paper studies a large class of multi‐agent contracting models with the property that agents' payoffs constitute a weighted potential game. Multiple equilibria arise due to agents' strategic interactions. I fully characterize a contracting scheme that is optimal for the principal for all equilibrium selection criteria that are more pessimistic than potential maximization. This scheme ranks agents in ascending order of their weights in the weighted potential game and then induces them to accept their offers in a dominance‐solvable way, starting from the first agent. I apply the general results to networks, public goods/“bads,” and a class of binary‐action applications.

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Publication Details

Journal
Theoretical Economics
Published
2025-01-01
DOI
https://doi.org/10.3982/te5602
Citations
1
Primary Topic
Game Theory and Applications
Type
article
Field-Weighted Citation Impact
2.11

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article

Weight‐ranked divide‐and‐conquer contracts

Lester T. Chan
1 citations
Theoretical Economics
Game Theory and Applications
2.11
article

Weight‐ranked divide‐and‐conquer contracts

Lester T. Chan
article en
1 citations

Abstract

This paper studies a large class of multi‐agent contracting models with the property that agents' payoffs constitute a weighted potential game. Multiple equilibria arise due to agents' strategic interactions. I fully characterize a contracting scheme that is optimal for the principal for all equilibrium selection criteria that are more pessimistic than potential maximization. This scheme ranks agents in ascending order of their weights in the weighted potential game and then induces them to accept their offers in a dominance‐solvable way, starting from the first agent. I apply the general results to networks, public goods/“bads,” and a class of binary‐action applications.

Theoretical EconomicsVol. 20(3)
Southern University of Science and Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 11%
Game Theory and Applications
2.11
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