Our web based Regime Switching models with EViews course provides a complete introduction to modelling and forecasting Regime Switching models in EViews. It provides a sound and practical understating Threshold models, Markov-switching models and Smooth Transition autoregressive models used in economic and financial applications and strong background in forecasting. The course targets researchers, practitioners and policy makers who are interested in gaining an in-depth knowledge of Regime Switching models and learning how to use them in their research.
The course runs from 13.00 - 17.00 (UK Time) / 17:00 - 21:00 (UAE Time)
Linear regression is one of the primary tools for econometric and statistical analysis. There is, however, considerable evidence that nonlinear modelling is sometimes appropriate, especially in the analysis of financial and macroeconomic relationships that are subject to regime change.
This course provides a comprehensive introduction to switching regression models in EViews—linear regression models with nonlinearities arising from discrete changes in regime. Taking a “learning-by-doing” approach we aim to present Threshold regression models, Smooth Transition models and Markow switching models.
Dynamics specifications are discussed for all three classes using lagged dependent variables as explanatory variables and through the presence of auto-correlated errors. The course employs plenty of financial and macroeconomic data and a constant stream of challenging exercises.The course specifically focuses on forecasting methodologies with regime switching models. Participants leave with the know-how on a wide range of regime switching models and the ability to identify which one to use for a specific modelling and forecasting purpose. Advanced topics such as regime switching VAR and Smooth transition GARCH models can be discussed according to participants’ needs and background.
The course is intentionally flexible. The agenda emerges dynamically and depends on the group’s prior background and knowledge of EViews. By the end of the course, all participants will feel comfortable with the following:
80% practical; 20% theory
Adkins L.C , Hill R.C Using EViews for principle of Econometrics (Appendix C and Chapters 2 and 3)
Adkins L.C , Hill R.C Using EViews for principle of Econometrics (Chapters 9, 12, 13,14)
Basic knowledge of hypothesis testing is needed.
Basic knowledge of EViews is helpful. Basic understanding of regression analysis is helpful.