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

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 …

may serve as an effective tool to share aggregate risk between generations. Our quantitative analysis shows that, first … social security does indeed represent a Pareto improving reform, if households are both fairly risk-averse and fairly willing … overturns these gains for degrees of risk aversion and intertemporal elasticity of substitution commonly used in the literature …