Value of Information in Social Learning

Fuente: arXiv
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Hauptverfasser: Sato, Hiroto, Shimizu, Konan
Format: Preprint
Veröffentlicht: 2025
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author Sato, Hiroto
Shimizu, Konan
author_facet Sato, Hiroto
Shimizu, Konan
contents This study extends Blackwell's (1953) comparison of information to a sequential social learning model, where agents make decisions sequentially based on both private signals and the observed actions of others. In this context, we introduce a new binary relation over information structures: an information structure is more socially valuable than another if it yields higher expected payoffs for all agents, regardless of their preferences. First, we establish that this binary relation is strictly stronger than the Blackwell order. Then, we provide a necessary and sufficient condition for our binary relation and propose a simpler sufficient condition that is easier to verify.
format Preprint
id arxiv_https___arxiv_org_abs_2503_05015
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Value of Information in Social Learning
Sato, Hiroto
Shimizu, Konan
Theoretical Economics
Social and Information Networks
This study extends Blackwell's (1953) comparison of information to a sequential social learning model, where agents make decisions sequentially based on both private signals and the observed actions of others. In this context, we introduce a new binary relation over information structures: an information structure is more socially valuable than another if it yields higher expected payoffs for all agents, regardless of their preferences. First, we establish that this binary relation is strictly stronger than the Blackwell order. Then, we provide a necessary and sufficient condition for our binary relation and propose a simpler sufficient condition that is easier to verify.
title Value of Information in Social Learning
topic Theoretical Economics
Social and Information Networks
url https://arxiv.org/abs/2503.05015