Manipulative Disclosure

ABSTRACT This article studies the verifiable disclosure of data by an informed expert whose bias direction is unknown to the decision maker. It shows that the expert's disclosure induces the decision maker to choose an action biased in the expert's desired direction. The pattern of manipulation depends on the weighted mass of left and right‐biased expert types with the same ideal action. All expert types with bias on the side with lower weighted mass, and a subset of types with bias on the other side, induce the choice of their ideal action; they fully manipulate. All other expert types partially manipulate.

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Publication Details

Journal
The RAND Journal of Economics
Published
2025-02-26
DOI
https://doi.org/10.1111/1756-2171.12497
Citations
2
Primary Topic
Game Theory and Applications
Type
article
Field-Weighted Citation Impact
4.21

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article

Manipulative Disclosure

Claudio Mezzetti
2 citations
The RAND Journal of Economics
Game Theory and Applications
4.21
article

Manipulative Disclosure

Claudio Mezzetti
article en
2 citations

Abstract

ABSTRACT This article studies the verifiable disclosure of data by an informed expert whose bias direction is unknown to the decision maker. It shows that the expert's disclosure induces the decision maker to choose an action biased in the expert's desired direction. The pattern of manipulation depends on the weighted mass of left and right‐biased expert types with the same ideal action. All expert types with bias on the side with lower weighted mass, and a subset of types with bias on the other side, induce the choice of their ideal action; they fully manipulate. All other expert types partially manipulate.

The RAND Journal of EconomicsVol. 56(2)
The University of Queensland (AU)
Australian Research Council
Openalex Percentile: Top 7%
Game Theory and Applications
4.21
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