We provide a general methodology for forecasting in the presence of structural breaks induced by unpredictable changes to model parameters. Bayesian methods of learning and model comparison are used to derive a predictive density that takes into account the possibility that a break will occur...

This study examines the relationship between specifications for long-run output patterns and specifications for business cycle dynamics. In an application to US GDP, it is found that inferences about the nature of the trend in output are not robust to changes in the specification for short-run...

This paper gauges the relative contribution of risk aversion, inter-temporal substitution and taste shocks on postwar monthly US equity premia. The time-varying consumption, market, and taste risks involved in the Euler equations are recovered from a common factor GARCH process and the MLE are...