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Robust Vektor Feilkorreksjonsmodell (Robust VECM)×Johansen-kointegrasjonstest og Vektor Feilkorreksjonsmodell×
FagfeltØkonometriFinans
FamilieRegression modelRegression model
Opprinnelsesår1997–20011991
OpphavspersonSakata & White (1998); Lucas (1997) — robust cointegrated system estimationSøren Johansen
TypeRobust multivariate time-series modelMultivariate cointegration / vector error correction model
Opprinnelig kildeCaner, M., & Kilian, L. (2001). Size distortions of tests of the null hypothesis of stationarity: Evidence and implications for the PPP debate. Journal of International Money and Finance, 20(5), 639-657. link ↗Johansen, S. (1991). Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica, 59(6), 1551-1580. DOI ↗
Aliasrobust VECM, outlier-robust VECM, robust cointegration model, robust VEC modelJohansen test, VECM, vector error correction model, multivariate cointegration
Relaterte13
SammendragRobust VECM extends the classical Vector Error Correction Model by replacing ordinary least squares estimation with outlier-resistant procedures — such as M-estimators, S-estimators, or least trimmed squares — so that cointegration relationships and short-run adjustment dynamics are estimated reliably even when the multivariate time series contains outliers, structural breaks, or heavy-tailed innovations.The 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.
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ScholarGateSammenlign metoder: Robust VECM · Johansen Cointegration Test. Hentet 2026-06-18 fra https://scholargate.app/no/compare