Information Design with Elicitation and Strategic Coordination

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Bonatti, Alessandro, Dahleh, Munther A., Horel, Thibaut
Format: Preprint
Veröffentlicht: 2023
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866908625022222336
author Bonatti, Alessandro
Dahleh, Munther A.
Horel, Thibaut
author_facet Bonatti, Alessandro
Dahleh, Munther A.
Horel, Thibaut
contents We study linear-quadratic games of incomplete information with Gaussian uncertainty, where each player's payoff depends on a privately observed type and a common state. The designer observes the state, elicits types, and sells action recommendations. We characterize all implementable mechanisms with Gaussian joint distributions of actions and fundamentals, and identify the players-optimal, consumer-optimal, and revenue-maximizing designs. In games of strategic complements (substitutes), these optimal mechanisms maximally correlate (anticorrelate) players' actions. When type uncertainty is large, recommendations become deterministic linear functions of the state and reports, but remain only partially revealing.
format Preprint
id arxiv_https___arxiv_org_abs_2302_12223
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Information Design with Elicitation and Strategic Coordination
Bonatti, Alessandro
Dahleh, Munther A.
Horel, Thibaut
Computer Science and Game Theory
Theoretical Economics
We study linear-quadratic games of incomplete information with Gaussian uncertainty, where each player's payoff depends on a privately observed type and a common state. The designer observes the state, elicits types, and sells action recommendations. We characterize all implementable mechanisms with Gaussian joint distributions of actions and fundamentals, and identify the players-optimal, consumer-optimal, and revenue-maximizing designs. In games of strategic complements (substitutes), these optimal mechanisms maximally correlate (anticorrelate) players' actions. When type uncertainty is large, recommendations become deterministic linear functions of the state and reports, but remain only partially revealing.
title Information Design with Elicitation and Strategic Coordination
topic Computer Science and Game Theory
Theoretical Economics
url https://arxiv.org/abs/2302.12223