Time Series Econometrics
This text presents modern developments in time series analysis and focuses on their application to economic problems. The book first introduces the fundamental concept of a stationary time series and the basic properties of covariance, investigating the structure and estimation of autoregressive-mov...
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Format: | Electronic eBook |
Language: | English |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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Series: | Springer Texts in Business and Economics,
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Online Access: | Full Text via HEAL-Link |
Table of Contents:
- 1. Introduction
- 2. ARMA models
- 3. Forecasting stationary processes
- 4. Estimation of Mean and Autocovariance Function
- 5.Estimation of ARMA Models
- 6. Spectral Analysis and Linear Filters
- 7. Integrated Processes
- 8. Models of Volatility
- 9. Multivariate Time series
- 10. Estimation of Covariance Function
- 11. VARMA Processes
- 12. Estimation of VAR Models
- 13. Forecasting with VAR Models
- 14. Interpretation of VAR Models
- 15. Co-integration
- 16. The Kalman Filter
- 17. Appendices.