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Johansens kointegrationstest og vektorfejlkorrektionsmodel×Vektor Autoregression (VAR) Model×
FagområdeFinansieringØkonometri
FamilieRegression modelRegression model
Oprindelsesår19912005
OphavspersonSøren JohansenLütkepohl (textbook treatment); Sims (1980) macroeconometric tradition
TypeMultivariate cointegration / vector error correction modelMultivariate time-series model
Oprindelig kildeJohansen, S. (1991). Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica, 59(6), 1551-1580. DOI ↗Lütkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. DOI ↗
AliasserJohansen test, VECM, vector error correction model, multivariate cointegrationvector autoregression, VAR, VAR Modeli (Vektör Otoregresyon), vektör otoregresyon
Relaterede34
ResuméThe Johansen procedure is a multivariate cointegration framework, introduced by Søren Johansen in 1991, that tests for long-run equilibrium relationships among several I(1) time series. It determines how many cointegrating vectors link the series and then builds a Vector Error Correction Model (VECM) to describe the short-run dynamics around that equilibrium.Vector Autoregression is a multivariate time-series model that treats several interdependent series symmetrically, letting each variable depend on its own past values and the past values of all the others. It is the standard tool for capturing mutual causality and joint dynamics, developed in the modern multiple-time-series tradition treated by Lütkepohl (2005).
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ScholarGateSammenlign metoder: Johansen Cointegration Test · VAR Model. Hentet 2026-06-17 fra https://scholargate.app/da/compare