Earlier experimental evidence indicates that some decision makers under-invest in information when it is costly. This insight is applied to the cost–benefit analysis of the provision of data obtained by satellites. In fields like agriculture, remotely sensed information of great precision can...

In an asset-pricing model, risk-averse agents need to forecast the conditional variance of a stock's return. A near-rational restricted perceptions equilibrium exists in which agents believe prices follow a random walk with a conditional variance that is self-fulfilling. When agents estimate...

This paper introduces model uncertainty into a simple Lucas-type monetary model. Inflation depends on agents' expectations and a vector of exogenous random variables. Following (Branch and Evans 2004) agents are assumed to underparameterize their forecasting models. A Misspecification...

This paper demonstrates that an asset pricing model with least-squares learning can lead to bubbles and crashes as endogenous responses to the fundamentals driving asset prices. When agents are risk-averse they need to make forecasts of the conditional variance of a stock’s return. Recursive...

This paper studies the implications for monetary policy of heterogeneous expectations in a New Keynesian model. The assumption of rational expectations is replaced with parsimonious forecasting models where agents select between predictors that are underparameterized. In a Misspecification...

Many models of monetary policy predict a trade-off between inflation and output variance despite compelling evidence that the Federal Reserve has become more aggressive in fighting inflation and there has been a resulting decline in both inflation and output variance. We address this apparent...