short-term forecasting models. These empirical findings have been established for different macroeconomic data sets and … specification is most effective in its forecasting performance. Furthermore, the forecast performances of the different … extended empirical out-of-sample forecasting competition for quarterly growth of gross domestic product in the euro area and …

forecasting performance of the various model specifications. The extension of a basic growth model with a constant mean to models … expectations is important for forecasting growth in specific periods, such as the the recession periods around 2000s and around …

volatility specifications, in terms of point forecasting to some degree and density forecasting to a greater degree …

comparably to quantile regression for estimating and forecasting tail risks, complementing BVARs' established performance for … forecasting and structural analysis …

Small or medium-scale VARs are commonly used in applied macroeconomics for forecasting and evaluating the shock … instability in a forecasting context. While none of the methods clearly emerges as best, some techniques turn out to be useful to … improve the forecasting performance …