I study reputation models in which information about the long-run player's past behavior is dispersed among short …-run players. I identify two challenges to reputation building when such information is aggregated via the short-run players …-run player's current period action, I propose a resistent to learning condition under which reputation fails. This is because the …

counterpart where such a scheme can never be optimal. Our model also exhibits reputation dynamics which capture a pervasive view …

chooses whether to continue receiving a return that is an increasing function of both her reputation and an exogenous public …, 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. …