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Μοντέλο Αυτοπαλινδρόμησης Διανυσμάτων (VAR)×Μοντέλο Διόρθωσης Σφαλμάτων Διανυσμάτων (VECM)×
ΠεδίοΟικονομετρίαΟικονομετρία
ΟικογένειαRegression modelRegression model
Έτος προέλευσης20051987
ΔημιουργόςLütkepohl (textbook treatment); Sims (1980) macroeconometric traditionEngle & Granger
ΤύποςMultivariate time-series modelMultivariate time-series model
Θεμελιώδης πηγήLütkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. DOI ↗Engle, R. F. & Granger, C. W. J. (1987). Co-Integration and Error Correction: Representation, Estimation, and Testing. Econometrica, 55(2), 251-276. DOI ↗
Εναλλακτικές ονομασίεςvector autoregression, VAR, VAR Modeli (Vektör Otoregresyon), vektör otoregresyonvector error correction model, error correction model, cointegration model, VECM (Vektör Hata Düzeltme Modeli)
Συναφείς44
ΣύνοψηVector Autoregression is a multivariate time-series model that treats several interdependent series symmetrically, letting each variable depend on its own past values and the past values of all the others. It is the standard tool for capturing mutual causality and joint dynamics, developed in the modern multiple-time-series tradition treated by Lütkepohl (2005).The Vector Error Correction Model is a multivariate time-series model for cointegrated series that captures both their short-run dynamics and their long-run equilibrium relationship. It was introduced by Engle and Granger in 1987 as part of the cointegration and error-correction framework.
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ScholarGateΣύγκριση μεθόδων: VAR Model · VECM. Ανακτήθηκε στις 2026-06-17 από https://scholargate.app/el/compare