We embed a news shock, a noisy indicator of the future state, in a two-state Markovswitching growth model. Our framework, combined with parameter learning, features rich history-dependent uncertainty dynamics. We show that bad news that arrives during a prolonged economic boom can trigger a...

Economists tend to assume that agents maximize their expected utility. However, many different experiments have questioned expected utility maximization by showing that human behavior can be characterized as random. This paper proposes Thompson Sampling as a theory of human behavior across very...

This paper investigates the effects of media coverage and macroeconomic conditions on inflation forecast disagreement of German households and professional forecasters. We adopt a Bayesian learning model in which media coverage of inflation affects forecast disagreement by influencing...

I study the role of shocks to beliefs combined with Bayesian learning in a standard equilibrium business cycle framework. By adapting ideas from Cogley and Sargent (2008b) to the general equilibrium setting, I am able to study how a prior belief arising from the Great Depression may have...

Previous analyses of macroeconomic imbalances have employed models that either focus exclusively on real-side effects or financial-side disturbances. Real-side models usually make the unrealistic assumption that firms that save more than they invest effortlessly and costlessly transfer those...

This paper investigates the effects of media coverage and macroeconomic con- ditions on inflation forecast disagreement of German households and professional forecasters. We adopt a Bayesian learning model in which media coverage of infla- tion affects forecast disagreement by influencing...

We embed a news shock, a noisy indicator of the future state, in a two-state Markovswitching growth model. Our framework, combined with parameter learning, features rich history-dependent uncertainty dynamics. We show that bad news that arrives during a prolonged economic boom can trigger a...

We explore a New Keynesian Model with diverse beliefs and study the aggregation problems in the log-linearized economy. We show the solution of these problems depend upon the belief structure. Agents' beliefs are described by individual state variables and satisfy three Rationality Axioms,...

This paper studies how individuals update subjective risk perceptions in response to hurricane track forecast information, using a unique data set from an event market, the Hurricane Futures Market (HFM). We derive a theoretical Bayesian framework which predicts how traders update their...

We provide an approach to forecasting the long-run (unconditional) distribution of equity returns making optimal use of historical data in the presence of structural breaks. Our focus is on learning about breaks in real time and assessing their impact on out-of-sample density forecasts....