Testing cointegration in infinite order vector autoregressive processes
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Publication:1372924
DOI10.1016/S0304-4076(97)00036-5zbMath0922.62119OpenAlexW2053863891MaRDI QIDQ1372924
Pentti Saikkonen, Ritva Luukkonen
Publication date: 17 October 1999
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0304-4076(97)00036-5
Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10)
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Cites Work
- Prediction of multivariate time series by autoregressive model fitting
- Statistical analysis of cointegration vectors
- Consistent autoregressive spectral estimates
- Optimal Inference in Cointegrated Systems
- Asymptotic Properties of Residual Based Tests for Cointegration
- Testing for unit roots in autoregressive-moving average models of unknown order
- Testing for Common Trends
- VECTOR AUTOREGRESSIVE MODELS WITH UNIT ROOTS AND REDUCED RANK STRUCTURE:ESTIMATION. LIKELIHOOD RATIO TEST, AND FORECASTING
- Co-Integration and Error Correction: Representation, Estimation, and Testing
- Estimation and Testing for Unit Roots in a Partially Nonstationary Vector Autoregressive Moving Average Model
- Unit Root Tests in ARMA Models with Data-Dependent Methods for the Selection of the Truncation Lag
- Efficient Tests for an Autoregressive Unit Root
- Linear Statistical Inference and its Applications
- Estimating Linear Restrictions on Regression Coefficients for Multivariate Normal Distributions
- Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models