We study a sequential experimentation model with endogenous feedback. Agents choose between a safe and risky action …. Subsidizing disclosure costs can perversely lead to less disclosure but more experimentation …

learning and policy recommendation in advisory committees. We quantify the effectiveness of advisory panels, and evaluate …

maker has learned? The key constraint we impose, which is shared across models of Bayesian learning, is that any learning … Dean 2015) and the NIAS condition (Caplin and Martin 2015) to allow for arbitrary learning. We apply our framework to show … how identification of what was learned can be strengthened with additional assumptions on the form of Bayesian learning …

We provide semiparametric identification results for a broad class of learning models in which continuous outcomes …

products to a user who slowly learns product quality. User learning depends on a product's "glossiness,' which captures …