(Pro-)Social Learning and Strategic Disclosure

We study a sequential experimentation model with endogenous feedback. Agents choose between a safe and risky action, the latter generating stochastic rewards. When making this choice, each agent is selfishly motivated (myopic). However, agents can disclose their experiences to a public record, and when doing so are prosocially motivated (forward-looking). Disclosure is both polarized (only extreme signals are disclosed) and positively biased (no feedback is bad news). The extent of disclosure is non-monotone in prior uncertainty. Subsidizing disclosure costs can paradoxically lead to less disclosure, but more experimentation. (JEL D81, D82, D83)

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Publication Details

Journal
American Economic Journal Microeconomics
Published
2025-10-28
DOI
https://doi.org/10.1257/mic.20240190
Primary Topic
Game Theory and Applications
Type
article
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article

(Pro-)Social Learning and Strategic Disclosure

Nikhil Vellodi, Roland Bénabou
American Economic Journal Microeconomics
Game Theory and Applications
article

(Pro-)Social Learning and Strategic Disclosure

Nikhil Vellodi, Roland Bénabou
article en

Abstract

We study a sequential experimentation model with endogenous feedback. Agents choose between a safe and risky action, the latter generating stochastic rewards. When making this choice, each agent is selfishly motivated (myopic). However, agents can disclose their experiences to a public record, and when doing so are prosocially motivated (forward-looking). Disclosure is both polarized (only extreme signals are disclosed) and positively biased (no feedback is bad news). The extent of disclosure is non-monotone in prior uncertainty. Subsidizing disclosure costs can paradoxically lead to less disclosure, but more experimentation. (JEL D81, D82, D83)

American Economic Journal MicroeconomicsVol. 17(4)
Center for Economic and Policy Research (US), Paris School of Economics (FR)
Openalex Percentile: Top 64%
Game Theory and Applications
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