We provide a new way to filter US inflation into trend and cycle components, based on extracting long-run forecasts from the Survey of Professional Forecasters. We operate the Kalman filter in reverse, beginning with observed forecasts, then estimating parameters, and then extracting the...

Previous studies using consumer survey data on inflation expectations find that consumers revise their inflation forecasts approximately once every eight months, suggesting that information is quite "sticky." However, in the consumer survey data analyzed, respondents take the survey twice with a...

This study presents extensive results on the benefits of rolling window and model averaging. Building on the recent work on rolling window averaging by Pesaran et al (2010, 2009) and on exchange rate forecasting by Molodtsova and Papell (2009), we explore whether rolling window averaging can be...