There are many econometric methods for forecasting by different economic variables in the future. recently, the … procedures of dynamic forecasting either for univariate or multivariate models were available for estimation on the software … models, with respect to, estimation, choosing the best fit model for forecasting by the economic variables, i.e., labor and …

VAR modelling is a frequent technique in econometrics for linear processes. VAR modelling offers some desirable …-order VARMA structure, it cannot be equivalently represented by any finite-order VAR model. On the other hand, a finite … the previous facts, we check in this paper whether subspace-based state space models provide better forecasts than VAR …

Using sample data from 1960 to 2006, GDP forecasts upto 2050 has been prepared for the Australian economy using the VAR …

deflator, it provides a root mean square forecasting error (RMFSE) of 1.0% at a four-year horizon for the period between 1971 … Johansen cointegration rank test based on a VAR representation, which is also proved to be an adequate one via a set of … are cointegrated in corresponding intervals. The VAR and vector error correction (VEC) models are estimated and provide …

obtained for the USA is characterized by A1=4.0, A2=-0.03075, and t1=2 years. It provides a root mean square forecasting error … (RMFSE) of 0.8% at a two-year horizon for the period between 1965 and 2002 (the best among other inflation forecasting models … variety of specification tests and the Johansen cointegration rank test based on the VAR representation. Both approaches …

The paper compares one-period ahead forecasting performance of linear vector-autoregressive (VAR) models and single … single-equation MS models tend to perform slightly better than linear VAR models when no leading information is available … than linear VAR models. …