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Cointegration analysis with state space models.
- Source :
- AStA Advances in Statistical Analysis; Sep2010, Vol. 94 Issue 3, p273-305, 33p
- Publication Year :
- 2010
-
Abstract
- This paper presents and exemplifies results developed for cointegration analysis with state space models by Bauer and Wagner in a series of papers. Unit root processes, cointegration, and polynomial cointegration are defined. Based upon these definitions, the major part of the paper discusses how state space models, which are equivalent to VARMA models, can be fruitfully employed for cointegration analysis. By detailing the cases most relevant for empirical applications, the I(1), multiple frequency I(1), and I(2) cases, a canonical representation is developed and thereafter some available statistical results are briefly discussed. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 18638171
- Volume :
- 94
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- AStA Advances in Statistical Analysis
- Publication Type :
- Academic Journal
- Accession number :
- 54120520
- Full Text :
- https://doi.org/10.1007/s10182-010-0138-x