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Johansen-test för kointegration och vektorsfelkorrigeringsmodell×Vektorautoregressionsmodell (VAR)×
ÄmnesområdeFinansiell ekonomiEkonometri
FamiljRegression modelRegression model
Ursprungsår19912005
UpphovspersonSøren JohansenLütkepohl (textbook treatment); Sims (1980) macroeconometric tradition
TypMultivariate cointegration / vector error correction modelMultivariate time-series model
UrsprungskällaJohansen, 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 ↗
AliasJohansen test, VECM, vector error correction model, multivariate cointegrationvector autoregression, VAR, VAR Modeli (Vektör Otoregresyon), vektör otoregresyon
Närliggande34
SammanfattningThe 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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ScholarGateJämför metoder: Johansen Cointegration Test · VAR Model. Hämtad 2026-06-18 från https://scholargate.app/sv/compare