Consider two agents who learn the value of an unknown parameter by observing a sequence of private signals. The signals are independent and identically distributed across time but not necessarily across agents. We show that that when each agent's signal space is finite, the agents will commonly...

Consider an agent (manager, artist, etc.) who has imperfect private information about his productivity. At the beginning of his career (period 1, short run"), the agent chooses among publicly observable actions that generate imperfect signals of his productivity. The actions can be ranked...

Consider an agent (manager, artist, etc.) who has imperfect private information about his productivity. At the beginning of his career (period 1, short runʺ), the agent chooses among publicly observable actions that generate imperfect signals of his productivity. The actions can be ranked...