Theoretical Economics 17 (2022), 539–559
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Dynamic signaling with stochastic stakes
Sebastian Gryglewicz, Aaron Kolb
Abstract
We study dynamic signaling in a game of stochastic stakes. Each period, a privately informed agent of binary type chooses whether to continue receiving a return that is an increasing function of both her reputation and an exogenous public stakes variable or to irreversibly exit the game. A strong type has a dominant strategy to continue. In the unique perfect Bayesian equilibrium, the weak type plays a mixed strategy that depends only on current stakes and their historical minimum, and she builds a reputation by continuing when the stakes reach a new minimum. We discuss applications to corporate reputation management, online vendor reputation, and limit pricing with stochastic demand.
Keywords: Dynamic signaling, reputation building, history dependence, exit dynamics
JEL classification: C73, D82, D83
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