This paper provides a review which focuses on forecasting using statistical/econometric methods designed for dealing with large data sets.

This paper revisits a number of data-rich prediction methods, like factor models, Bayesian ridge regression and forecast combinations, which are widely used in macroeconomic forecasting, and compares these with a lesser known alternative method: partial least squares regression. Under the...

This paper compares alternative models of time-varying macroeconomic volatility on the basis of the accuracy of point and density forecasts of macroeconomic variables. In this analysis, we consider both Bayesian autoregressive and Bayesian vector autoregressive models that incorporate some form...

In the recent years several commentators hinted at an increase of the correlation between equity and commodity prices, and blamed investment in commodity-related products for this. First, this paper investigates such claims by looking at various measures of correlation. Next, we assess to what...

Small or medium-scale VARs are commonly used in applied macroeconomics for forecasting and evaluating the shock transmission mechanism. This requires the VAR parameters to be stable over the evaluation and forecast sample, or to explicitly consider parameter time variation. The earlier...

This paper assesses to what extent forecasters make effcient use of competitors' forecasts. Usinga panel of forecasters, I find that forecasters underuse information from their competitors in their forecasts for current and next year's annual GDP growth and inflation. The results also show that...

This paper studies macroeconomic effects of fiscal policies in four Asian countries - Bangladesh, China, Indonesia, and the Philippines - by means of structural macroeconometric model simulations. It is found that short-term fiscal multipliers from an untargeted increase in government...

Within a decision-making group, such as the monetary-policy committee of a central bank,group members often hold differing views about the future of key economic variables. Such differences of opinion can be thought of as reflecting differing sets of judgement. This paper suggests modelling each...

We assess the forecast ability of Norges Bank's regional survey for inflation, GDP growth and the unemployment rate in Norway. We propose several factor models based on regional and sectoral information given by the survey. The analysis identifies which information extracted from the ten sectors...