Imperfect public monitoring with a fear of signal distortion

• 成果类型: Article
• 署名作者: Bhattacharya, Vivek; Manuelli, Lucas; Straub, Ludwig
• 署名单位: Northwestern University; Massachusetts Institute of Technology (MIT); Massachusetts Institute of Technology (MIT)
• 刊物名称: JOURNAL OF ECONOMIC THEORY
• ISSN/ISSBN: 0022-0531
• DOI: 10.1016/j.jet.2018.01.004
• 发表日期: 2018
• 页码: 1-37
• 关键词: Linearity; Imperfect public monitoring; repeated games; ambiguity aversion

摘要

This paper proposes a model of signal distortion in a two-player game with imperfect public monitoring. We construct a tractable theoretical framework where each player has the opportunity to distort the true public signal and each player is uncertain about the distortion technologies available to the other player. We show that when players evaluate strategies according to their worst-case guarantees i.e., are ambiguity averse over certain distributions in the environment perceived continuation payoffs endogenously lie on a positively sloped line. We then provide examples showing that, counterintuitively, identifying deviators can be harmful in enforcing a strategy profile; moreover, we illustrate how the presence of such signal distortion can sustain cooperation when it is impossible in standard settings. We show that the main result and examples are robust to a number of natural modifications to our setting. Finally, we extend our model to a repeated game where our concept is a natural generalization of strongly symmetric equilibria. In this setting, we prove an anti-folk theorem, showing that payoffs under our equilibrium concept are under general conditions bounded away from efficiency. (C) 2018 Elsevier Inc. All rights reserved.