不确定监测下声誉效应的鲁棒性

Geyu Yang
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引用次数: 1

摘要

我研究了不确定监测下的声誉效应。我研究了一个长期玩家和一系列短期对手之间的重复游戏。长期玩家可以是战略型玩家,也可以是承诺型玩家,他们在每个阶段都采取相同的行动。模型的创新之处在于,短期玩家对监控结构不确定。监控结构的不确定性给声誉建设带来了新的挑战,因为信号的分布与玩家的长期策略之间可能没有直接关系。因此,长期玩家可能没有能力建立承诺的声誉。我表明,当短期参与者无法从统计上区分承诺行为和不良行为时,标准声誉结果就会失效。我还提供了足够的条件,在此条件下,声誉对长期玩家收益的影响可以扩展到当前框架。当承诺收益是他所能获得的最高收益时,条件可以放宽。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robustness of Reputation Effects under Uncertain Monitoring
I study reputation effects under uncertain monitoring. I examine a repeated game between a long-run player and a series of short-run opponents. The long-run player can either be a strategic type or a commitment type that plays the same action in every period. The modeling innovation is that the short-run player is unsure about the monitoring structure. The uncertainty about the monitoring structure introduces new challenges to reputation building because there may not be a direct relationship between the distribution of signals and the long-run player's strategy. Thus the long-run player may not have the ability to establish a reputation for commitment. I show that, when the short-run players cannot statistically distinguish commitment action from a bad action, the standard reputation results break down. I also provide sufficient conditions under which reputation effects on long-run player’s payoffs can be extended to the current framework. When the commitment payoff is the highest payoff he can get, the conditions can be relaxed.
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