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Linganisha mbinu

Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.

Kipimo cha Ukoanifu wa Johansen chenye Kuvunjika kwa Muundo×Kielelezo cha Usahihishaji wa Hitilafu wa Kielekezi (VECM)×
NyanjaEkonometrikiEkonometriki
FamiliaRegression modelRegression model
Mwaka wa asili2000–20011987
MwanzilishiJohansen (1988); structural-break extensions by Saikkonen & Lütkepohl (2000) and Lütkepohl, Müller & Saikkonen (2001)Robert F. Engle and Clive W. J. Granger
AinaCointegration test / VECM estimationMultivariate time-series model
Chanzo asiliaJohansen, S. (1988). Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12(2–3), 231–254. DOI ↗Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗
Majina mbadalaJohansen cointegration with breaks, break-robust Johansen test, cointegration test with regime shifts, structural change Johansen VECMVECM, error correction VAR, cointegrated VAR, vector equilibrium correction model
Zinazohusiana55
MuhtasariThe structural break Johansen cointegration test extends the standard maximum-likelihood Johansen procedure to settings where the multivariate time series exhibits level shifts or trend breaks. By incorporating dummy variables or shift regressors into the VECM, the test determines the cointegrating rank without confounding genuine long-run relationships with regime changes.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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ScholarGateLinganisha mbinu: Structural break Johansen cointegration · Vector Error Correction Model. Imepatikana 2026-06-17 kutoka https://scholargate.app/sw/compare