Working Paper: CEPR ID: DP4976
Authors: Massimiliano Marcellino; James H. Stock; Mark W. Watson
Abstract: ?Iterated? multiperiod ahead time series forecasts are made using a one-period ahead model, iterated forward for the desired number of periods, whereas ?direct? forecasts are made using a horizon-specific estimated model, where the dependent variable is the multi-period ahead value being forecasted. Which approach is better is an empirical matter: in theory, iterated forecasts are more efficient if correctly specified, but direct forecasts are more robust to model misspecification. This paper compares empirical iterated and direct forecasts from linear univariate and bivariate models by applying simulated out-of-sample methods to 171 US monthly macroeconomic time series spanning 1959-2002. The iterated forecasts typically outperform the direct forecasts, particularly if the models can select long lag specifications. The relative performance of the iterated forecasts improves with the forecast horizon.
Keywords: forecast comparisons; multistep forecasts; VAR forecasts
JEL Codes: C32; E37; E47
Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.
| Cause | Effect |
|---|---|
| lag selection method (C41) | forecast accuracy (C53) |
| forecast horizon (C53) | effectiveness of forecasting method (C53) |
| time series type (C22) | effectiveness of forecasting method (C53) |