variety of non-Gaussian alternatives including GARCH innovations. Our results are useful in many areas of forecasting and …

This paper is an exercise in applied macroeconomic forecasting. We examine the forecasting power of a vector error … expenditure as suggested by the economic theory. We compare the estimated forecasting values of the endogenous variables to the … real-historical values using a stochastic simulation analysis. The simulation results provide new evidence supporting the …

A common explanation for the inability of the monetary model to beat the random walk in forecasting future exchange …. This paper provides an extensive evaluation of this power argument to the use of panel data in the forecasting context. In … power gains, pooling only the parameters of the forecasting equation, as has been suggested in the previous literature, does …

This Paper provides a novel approach to forecasting time series subject to discrete structural breaks. We propose a …

. Moreover, section 5 presents the forecasting approach applied to define the target level at the horizon 2020. Section 6 … presents the results of the deterministic and stochastic forecasting models and section 7 concludes. …

models for forecasting, although this proved to be problematic due to estimation and identi.cation issues. Hybrid DSGE models … results of this study can be useful in conducting monetary policy analysis and macro-forecasting in the Euro area. …