Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
The recent literature on monetary policy has dedicated considerable attention to modelling agents’ processing of information about the future in real time. This paper contributes to this growing strand by investigating the implied differences in the so-called news shocks estimated from the standard New Keynesian dynamic stochastic general equilibrium (DSGE) model using the real-time data sets from the Survey of Professional Forecasters (SPF) and the Federal Reserve’s Greenbook (GB) forecasts. Alternative specifications with either the SPF or GB forecasts aim to delineate the differences in the private sector’s and the Fed’s expectations of future macroeconomic outcomes and identify the differences in their perception of news shocks. Our results indicate that while the demand news shocks have very similar distributions in the two datasets, the monetary and cost-push news shocks from the models estimated on the GB data tend to be larger than those from the SPF. These findings suggest that the Federal Reserve’s forecasting methods allow for more variation in future outcomes than the SPF’s. These findings mesh well with the extant literature on the superiority of the Fed’s forecasts relative to the private sector’s and provide a structural explanation for the source of this superiority.