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Model Autoregresji Wektorowej (VAR)×Model Korekcji Błędów Wektorowych (VECM)×
DziedzinaEkonometriaEkonometria
RodzinaRegression modelRegression model
Rok powstania20051987
TwórcaLütkepohl (textbook treatment); Sims (1980) macroeconometric traditionEngle & Granger
TypMultivariate time-series modelMultivariate time-series model
Źródło pierwotneLütkepohl, 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 ↗
Inne nazwyvector autoregression, VAR, VAR Modeli (Vektör Otoregresyon), vektör otoregresyonvector error correction model, error correction model, cointegration model, VECM (Vektör Hata Düzeltme Modeli)
Pokrewne44
PodsumowanieVector 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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ScholarGatePorównaj metody: VAR Model · VECM. Pobrano 2026-06-17 z https://scholargate.app/pl/compare