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Test kointegracji Johansena i wektorowy model korekty błędu×Model Autoregresji Wektorowej (VAR)×
DziedzinaFinanseEkonometria
RodzinaRegression modelRegression model
Rok powstania19912005
TwórcaSøren JohansenLütkepohl (textbook treatment); Sims (1980) macroeconometric tradition
TypMultivariate cointegration / vector error correction modelMultivariate time-series model
Źródło pierwotneJohansen, 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 ↗
Inne nazwyJohansen test, VECM, vector error correction model, multivariate cointegrationvector autoregression, VAR, VAR Modeli (Vektör Otoregresyon), vektör otoregresyon
Pokrewne34
PodsumowanieThe 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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