声誉
私人信息检索
校长(计算机安全)
委托代理问题
激励
微观经济学
完整信息
业务
经济
数理经济学
计算机科学
计算机安全
法学
财务
政治学
公司治理
作者
Daniel Garcia‐Gonzalez
摘要
In this paper I study a dynamic game between a principal who has to take a de-cision every period and an informed agent whose preferences over the decision are his private information. The decision maker has access to a costly monitoring tech-nology that potentially allows her to learn whether the agent has revealed his infor-mation truthfully before taking a decision. I show that the principal’s incentives to actively monitor are reduced by reputational concerns of the agent. In particular, I show that in any Markov Perfect Equilibrium the principal monitors less and the agent lies more often when the principal has long-run motivations if she believes that the agent is bad with sufficiently high probability. The reason is that when the type of the agent is uncertain, the principal can free-ride on his reputational con-cern, but once she discovers his type, this benefit is lost.
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