The role of the constant and linear terms in cointegration analysis of nonstationary variables
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Publication:4853080
DOI10.1080/07474939408800284zbMath0829.62086OpenAlexW2135892621MaRDI QIDQ4853080
Publication date: 25 October 1995
Published in: Econometric Reviews (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/07474939408800284
cointegrationautoregressive modelreduced rank regressionlinear trendconstant termlinear termsquadratic trendI(1) variablesI(2) variables
Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10)
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Cites Work
- Statistical analysis of cointegration vectors
- Testing structural hypotheses in a multivariate cointegration analysis of the PPP and the UIP for UK
- Estimation for Partially Nonstationary Multivariate Autoregressive Models
- Nested Reduced-Rank Autogressive Models for Multiple Time Series
- Co-Integration and Error Correction: Representation, Estimation, and Testing
- Estimating Linear Restrictions on Regression Coefficients for Multivariate Normal Distributions
- Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models
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