Random utility coordination games on networks

We study static binary coordination games with random utility played on networks. In equilibrium, each agent chooses an action only if a fraction of her neighbors choosing the same action is higher than an agent‐specific i.i.d. threshold. A fuzzy convention x is a profile where (almost) all agents choose the high action if their threshold is smaller than x and the low action otherwise. The random‐utility (RU) dominant outcome x * is a maximizer of an integral of the distribution of thresholds. The definition generalizes Harsanyi–Selten's risk dominance to coordination games with random utility. We show that, on each sufficiently large and fine network, there is an equilibrium that is a fuzzy convention x * . On some networks, including a city network, all equilibria are fuzzy conventions x * . Finally, fuzzy conventions x * are the only behavior that is robust to misspecification of the network structure.

Authors

Institutions

Publication Details

Journal
Theoretical Economics
Published
2025-01-01
DOI
https://doi.org/10.3982/te5653
Primary Topic
Game Theory and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Random utility coordination games on networks

Marcin Pęski
Theoretical Economics
Game Theory and Applications
article

Random utility coordination games on networks

Marcin Pęski
article en

Abstract

We study static binary coordination games with random utility played on networks. In equilibrium, each agent chooses an action only if a fraction of her neighbors choosing the same action is higher than an agent‐specific i.i.d. threshold. A fuzzy convention x is a profile where (almost) all agents choose the high action if their threshold is smaller than x and the low action otherwise. The random‐utility (RU) dominant outcome x * is a maximizer of an integral of the distribution of thresholds. The definition generalizes Harsanyi–Selten's risk dominance to coordination games with random utility. We show that, on each sufficiently large and fine network, there is an equilibrium that is a fuzzy convention x * . On some networks, including a city network, all equilibria are fuzzy conventions x * . Finally, fuzzy conventions x * are the only behavior that is robust to misspecification of the network structure.

Theoretical EconomicsVol. 20(2)
University of Toronto (CA)
Social Sciences and Humanities Research Council of Canada
Openalex Percentile: Top 86%
Game Theory and Applications
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.