Aggregate Efficiency in Games

Fuente: arXiv
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Autore principale: Mudekereza, Florian
Natura: Preprint
Pubblicazione: 2025
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author Mudekereza, Florian
author_facet Mudekereza, Florian
contents We show that, in large population games, decentralized information aggregation generically corrects for individual-level biases. This establishes a new testable aggregate efficiency benchmark where the behavior of boundedly rational agents mimics that of fully rational agents. However, we find that structural economic forces such as strategic network formation and profit-maximizing platforms can systematically select pathological environments to exploit individuals' biases, thereby causing aggregate inefficiencies. We characterize these inefficiencies in monopoly and labor markets. Our findings therefore suggest that policy should shift focus from correcting individuals' behavior to monitoring and regulating information structures.
format Preprint
id arxiv_https___arxiv_org_abs_2501_13019
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Aggregate Efficiency in Games
Mudekereza, Florian
Theoretical Economics
We show that, in large population games, decentralized information aggregation generically corrects for individual-level biases. This establishes a new testable aggregate efficiency benchmark where the behavior of boundedly rational agents mimics that of fully rational agents. However, we find that structural economic forces such as strategic network formation and profit-maximizing platforms can systematically select pathological environments to exploit individuals' biases, thereby causing aggregate inefficiencies. We characterize these inefficiencies in monopoly and labor markets. Our findings therefore suggest that policy should shift focus from correcting individuals' behavior to monitoring and regulating information structures.
title Aggregate Efficiency in Games
topic Theoretical Economics
url https://arxiv.org/abs/2501.13019