{"title":"Robustness of Reputation Effects under Uncertain Monitoring","authors":"Geyu Yang","doi":"10.2139/ssrn.3266235","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":393761,"journal":{"name":"ERN: Other Game Theory & Bargaining Theory (Topic)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Other Game Theory & Bargaining Theory (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3266235","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
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.