Breaking Bad News

We study how information disclosure shapes social learning about a potentially harmful product. Increased transparency helps early agents avoid harm, which may undermine learning by later agents. Despite this conflict of interest, we show that full transparency is uniquely optimal for all agents when they learn only by observing neighbors’ harm. We investigate whether full transparency about harm continues to benefit all agents when they also learn from additional, imperfect signals. (JEL D18, D82, D83, L15)

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Publication Details

Journal
American Economic Review Insights
Published
2026-05-27
DOI
https://doi.org/10.1257/aeri.20250043
Primary Topic
Game Theory and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Breaking Bad News

Moritz Meyer-ter-Vehn, Simon Board
American Economic Review Insights
Game Theory and Applications
article

Breaking Bad News

Moritz Meyer-ter-Vehn, Simon Board
article en

Abstract

We study how information disclosure shapes social learning about a potentially harmful product. Increased transparency helps early agents avoid harm, which may undermine learning by later agents. Despite this conflict of interest, we show that full transparency is uniquely optimal for all agents when they learn only by observing neighbors’ harm. We investigate whether full transparency about harm continues to benefit all agents when they also learn from additional, imperfect signals. (JEL D18, D82, D83, L15)

American Economic Review InsightsVol. 8(2)
UCLA Health (US)
Reduced inequalities
Openalex Percentile: Top 4%
Game Theory and Applications
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