Multivariate Modelling of Non-Stationary Economic Time Series
This book examines conventional time series in the context of stationary data prior to a discussion of cointegration, with a focus on multivariate models. The authors provide a detailed and extensive study of impulse responses and forecasting in the stationary and non-stationary context, considering...
| Main Authors: | , , |
|---|---|
| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
London :
Palgrave Macmillan UK : Imprint: Palgrave Macmillan,
2017.
|
| Edition: | 2nd ed. 2017. |
| Series: | Palgrave Texts in Econometrics
|
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Chapter 1. Introduction: Time Series, Common Trends and Equilibrium
- Chapter 2. Multivariate Time Series
- Chapter 3. Cointegration
- Chapter 4. Testing for Cointegration: Under Standard and Non-Standard Conditions
- Chapter 5. Structure and Evaluation
- Chapter 6. Testing in VECMs with Small Sample
- Chapter 7. Heteroscedasticity and Multivariate Volatility
- Chapter 8. Models with Alternative Orders of Integration
- Chapter 9. The Structural Analysis of Time Series.