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Model Vektorske Autoregresije (VAR)×Model vektorske korekcije pogrešaka (VECM)×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka20051987
TvoracLütkepohl (textbook treatment); Sims (1980) macroeconometric traditionEngle & Granger
VrstaMultivariate time-series modelMultivariate time-series model
Temeljni izvorLütkepohl, 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 ↗
Drugi nazivivector autoregression, VAR, VAR Modeli (Vektör Otoregresyon), vektör otoregresyonvector error correction model, error correction model, cointegration model, VECM (Vektör Hata Düzeltme Modeli)
Srodne44
SažetakVector 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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ScholarGateUsporedite metode: VAR Model · VECM. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare