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Vektorová autoregresia (VAR)×Vektorový model korekcie chýb (VECM)×
OdborEkonometriaEkonometria
RodinaRegression modelRegression model
Rok vzniku19801987
TvorcaChristopher A. SimsRobert F. Engle and Clive W. J. Granger
TypMultivariate time-series modelMultivariate time-series model
Pôvodný zdrojSims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48. DOI ↗Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗
Ďalšie názvyVAR, VAR model, vector autoregressive model, multivariate autoregressionVECM, error correction VAR, cointegrated VAR, vector equilibrium correction model
Príbuzné55
ZhrnutieVector Autoregression is a multivariate time-series model in which each variable is regressed on its own lags and the lags of all other variables in the system. Originally proposed by Sims (1980) as a data-driven alternative to large structural macroeconomic models, VAR has become the standard workhorse for dynamic analysis in empirical economics and finance.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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ScholarGatePorovnať metódy: Vector Autoregression · Vector Error Correction Model. Získané 2026-06-15 z https://scholargate.app/sk/compare