expectation models, households in the sticky information environment update their expectations sporadically rather than … experts? inflation expectations, we find that the model adequately captures the dynamics of household inflation expectations …

macroeconomic policy analysis and forecasting. By means of an empirical application we demonstrate that these models turn out to be …

in the international data. The largest forecasting accuracy gains from including international predictors are at longer … forecast horizons. The forecasting performance achievable with the data-rich methods differs widely, with shrinkage methods and …

relate to the forecasting environment (which cannot be influenced by the forecasters). Among the variables capturing the … forecasting design (which can, by contrast, be influenced by the forecasters), the size of the dataset from which factors are … unbalanced panel, whether restrictions implied by the factor structure are imposed in the forecasting equation or not and whether …

represent nicely the two opposing forecasting philosophies. The DSGE model on the one hand has a strong theoretical economic …-horizon forecasting and structural models should be used in long-horizon forecasting. Our paper compareds both state-of-the art data …

This paper gives a brief survey of forecasting with panel data. Starting with a simple error component regression and …

This paper considers factor forecasting with national versus factor forecasting withinternational data. We forecast … estimation using targeted predictors following Bai and Ng [Forecasting economic time series using targeted predictors, Journal of … Econometrics 146 (2008), 304-317]. The results are as follows: Forecasting without data preselection favours the use of German data …

of monetary policy shocks, and we observe that the reaction of GDP, the GDP deflator, inflation expectations and long …