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 …

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 …

Quantile regression has become widely used in empirical macroeconomics, in particular for estimating and forecasting … apply shrinkage in a classical or Bayesian framework. We focus on forecasting accuracy, using for evaluation both quantile …

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

Interest rate data are an important element of macroeconomic forecasting. Projections of future interest rates are not … only an important product themselves, but also typically matter for forecasting other macroeconomic and financial variables …. A popular class of forecasting models is linear vector autoregressions (VARs) that include shorter- and longer …