On the Price of Transparency: A Comparison between Overt Persuasion and Covert Signaling
Tao Li, Quanyan Zhu

TL;DR
This paper introduces a quantitative measure called the Price of Transparency (PoT) to compare the outcomes of overt versus covert information disclosure in strategic settings, revealing transparency generally benefits the information provider.
Contribution
It develops a novel Z-programming approach to solve for equilibria in dynamic incomplete information games and demonstrates that transparency typically increases the provider’s payoff, with bounds established.
Findings
PoT is always between 0 and 1, favoring transparency.
Zero-sum games reach the upper bound of PoT.
In continuous games, PoT can approach zero, indicating potential losses from lack of transparency.
Abstract
Transparency of information disclosure has always been considered an instrumental component of effective governance, accountability, and ethical behavior in any organization or system. However, a natural question follows: \emph{what is the cost or benefit of being transparent}, as one may suspect that transparency imposes additional constraints on the information structure, decreasing the maneuverability of the information provider. This work proposes and quantitatively investigates the \emph{price of transparency} (PoT) in strategic information disclosure by comparing the perfect Bayesian equilibrium payoffs under two representative information structures: overt persuasion and covert signaling models. PoT is defined as the ratio between the payoff outcomes in covert and overt interactions. As the main contribution, this work develops a bilevel-bilinear programming approach, called…
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Taxonomy
TopicsExperimental Behavioral Economics Studies · Game Theory and Applications · Auction Theory and Applications
