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: | Hunter, John (Author), Burke, Simon P. (Author), Canepa, Alessandra (Author) |
|---|---|
| Corporate Author: | SpringerLink (Online service) |
| 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 |
Similar Items
-
The Econometric Analysis of Non-Stationary Spatial Panel Data
by: Beenstock, Michael, et al.
Published: (2019) -
Time Series Econometrics
by: Neusser, Klaus
Published: (2016) -
Introduction to Modern Time Series Analysis
by: Kirchgässner, Gebhard, et al.
Published: (2007) -
Advances in Non-linear Economic Modeling Theory and Applications /
Published: (2014) -
Time Series Econometrics Learning Through Replication /
by: Levendis, John D., et al.
Published: (2018)