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Epälineaarinen Johansenin Sauvignon kointegraatiotesti×Vektorikorjausmalli (VECM)×
TieteenalaEkonometriaEkonometria
MenetelmäperheRegression modelRegression model
Syntyvuosi20011987
KehittäjäBreitung (2001), building on Johansen (1988, 1991)Robert F. Engle and Clive W. J. Granger
TyyppiNonparametric rank-based cointegration testMultivariate time-series model
AlkuperäislähdeBreitung, J. (2001). Rank tests for nonlinear cointegration. Journal of Business and Economic Statistics, 19(3), 331-340. DOI ↗Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗
Rinnakkaisnimetnonlinear cointegration test, threshold Johansen cointegration, rank test for nonlinear cointegration, nonlinear VECM cointegrationVECM, error correction VAR, cointegrated VAR, vector equilibrium correction model
Liittyvät35
TiivistelmäNonlinear Johansen cointegration extends the classical Johansen framework to detect long-run equilibrium relationships among integrated time series when the adjustment process is nonlinear. Using rank-based transformations, the approach tests for cointegration without assuming a linear error-correction mechanism, making it suitable for economic relationships characterized by asymmetric or threshold dynamics.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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ScholarGateVertaile menetelmiä: Nonlinear Johansen Cointegration · Vector Error Correction Model. Haettu 2026-06-15 osoitteesta https://scholargate.app/fi/compare