Forecasting key macroeconomic variables from a large number of predictors: a state space approach

The study uses state space methods to evaluate a large dynamic factor model for the Norwegian economy used to obtain forecasts for 22 key variables that can be derived from the original by aggregation. Results reveal an overall gain in using the dynamic factor model, although the gain is significant in only some of the key variables.