variable selection and estimation in one step. We evaluate the forecasting accuracy of these estimators for a large set of …

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

price level. Based on different diagnostic and evaluation criteria, the best forecasting model for predicting inflation in …

A recent debate in the forecasting literature revolves around the inability of macroecono-metric models to improve on … equilibrium indeterminacy for quantitative forecasting through standard reduced form forecast models. Exploiting U.S. data on both … of indeterminacy. It is argued that forecasting under indeterminacy with e.g. unrestricted VAR models entails …

This paper introduces the Bank of England's new forecasting platform and provides examples of how it can be applied to … practical forecasting problems. The platform consists of four components: COMPASS, a structural central organising model; a …

-to-quarter modeling and forecasting to show the economic development of countries in Eastern Europe. The principles upon the LAM-3 models …