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Linganisha mbinu

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Modeli wa Kurekebisha Hitilafu wa Vecta Usio na Mstari (Nonlinear VECM)×Kipimo cha Uunganishaji wa Johansen na Kielelezo cha Mfumo wa Kurekebisha Makosa×
NyanjaEkonometrikiFedha
FamiliaRegression modelRegression model
Mwaka wa asili1989–19981991
MwanzilishiGranger & Lee (1989); Enders & Granger (1998)Søren Johansen
AinaNonlinear time-series modelMultivariate cointegration / vector error correction model
Chanzo asiliaEnders, W., & Granger, C. W. J. (1998). Unit-root tests and asymmetric adjustment with an example using the term structure of interest rates. Journal of Business & Economic Statistics, 16(3), 304–311. DOI ↗Johansen, S. (1991). Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica, 59(6), 1551-1580. DOI ↗
Majina mbadalanonlinear VECM, NVECM, threshold VECM, asymmetric VECMJohansen test, VECM, vector error correction model, multivariate cointegration
Zinazohusiana23
MuhtasariThe Nonlinear VECM extends the standard linear VECM by allowing the speed of adjustment toward long-run equilibrium to differ depending on the sign, magnitude, or regime of deviations from that equilibrium. It captures asymmetric or threshold-driven dynamics in cointegrated time-series systems that a standard VECM would miss.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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  1. v1
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  3. PUBLISHED

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ScholarGateLinganisha mbinu: Nonlinear VECM · Johansen Cointegration Test. Imepatikana 2026-06-18 kutoka https://scholargate.app/sw/compare