An agent searches sequentially for advice from multiple experts concerning the payoff of taking an operation. After incurring a positive search cost, the agent can consult an expert, whose interest is partially aligned with him. There are infinitely many experts, each has access to an...

This paper considers a population of agents that are engaged in a listening network. The agents wish to match their actions to the true value of some uncertain (exogenous) parameter and to the actions of the other agents. Each agent begins with some initial information about the parameter and,...

We introduce the notion of verifiable information into a model of sequential debate among experts who are motivated by career concerns. We show that self-censorship may hamper the efficiency of information aggregation, as experts withhold evidence contradicting the conventional wisdom. In this...

We consider a general economy, where agents have private information about their types. Types can be multi-dimensional and potentially interdependent. We show that, if the interim distribution of types is common knowledge (the exact number of agents for each type is known), then a mechanism...

We introduce the notion of verifiable information into a model of sequential debate among experts who are motivated by career concerns. We show that self-censorship may hamper the efficiency of information aggregation, as experts withhold evidence contradicting the conventional wisdom. In this...

This paper studies a large majority election with voters who have heterogeneous, private preferences and exogenous private signals. We show that a Bayesian persuader can implement any state-contingent outcome in some equilibrium by providing additional information. In this setting, without the...

When groups face difficult problems, the voice of experts may be lost in the noise of others' contributions. We present results from a 'naturally noisy' setting, a large first-year undergraduate class, in which the 'expert's voice is lost' to such a degree that it is in fact optimal for all...

When groups face difficult problems, the voices of experts may be lost in the noise of others' contributions. We present results from a "naturally noisy" setting, a large first-year undergraduate class, in which the expert's voice was "lost" to such a degree that bringing forward even more...