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Robust Johansen-kointegrationstest×Vektorfelkorrigeringsmodell (VECM)×
ÄmnesområdeEkonometriEkonometri
FamiljRegression modelRegression model
Ursprungsår1988–20101987
UpphovspersonJohansen (1988, 1991); robust extensions by Cavaliere, Rahbek, Taylor (2010) and othersRobert F. Engle and Clive W. J. Granger
TypCointegration rank test (robust variant)Multivariate time-series model
UrsprungskällaJohansen, S. (1991). Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica, 59(6), 1551–1580. DOI ↗Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗
Aliasoutlier-robust Johansen test, robust trace test, robust maximum eigenvalue test, robust cointegration rank testVECM, error correction VAR, cointegrated VAR, vector equilibrium correction model
Närliggande55
SammanfattningThe Robust Johansen Cointegration test extends the classical Johansen (1988, 1991) likelihood-ratio framework for determining the cointegrating rank of a multivariate I(1) system to settings where standard Gaussian assumptions fail — in particular when the data exhibit outliers, fat-tailed innovations, or conditional heteroskedasticity. Robust modifications adjust residuals, re-weight observations, or bootstrap critical values so that rank inference remains valid under these violations.The Vector Error Correction Model extends the Vector Autoregression (VAR) framework to a system of variables that share one or more long-run equilibrium relationships. It jointly models short-run dynamics and the speed at which each variable corrects back toward equilibrium after a shock, making it the standard tool for analysing cointegrated multivariate time series.
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ScholarGateJämför metoder: Robust Johansen Cointegration · Vector Error Correction Model. Hämtad 2026-06-15 från https://scholargate.app/sv/compare