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Panelowy model strukturalnej wektorowej autoregresji (Panel SVAR)×Model korekcji błędem (VECM)×
DziedzinaEkonometriaEkonometria
RodzinaRegression modelRegression model
Rok powstania2004 (panel extension); 1986 (SVAR origins)1987
TwórcaCanova & Ciccarelli; Bernanke (SVAR identification)Robert F. Engle and Clive W. J. Granger
TypMultivariate time-series model with structural identificationMultivariate time-series model
Źródło pierwotneCanova, F., & Ciccarelli, M. (2004). Forecasting and turning point predictions in a Bayesian panel VAR model. Journal of Econometrics, 120(2), 327-359. 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 nazwyPanel SVAR, PSVAR, Structural Panel VAR, Panel Structural VARVECM, error correction VAR, cointegrated VAR, vector equilibrium correction model
Pokrewne55
PodsumowanieThe Panel SVAR model extends the Structural VAR framework to panel data, jointly modelling multiple endogenous time-series variables across several cross-sectional units (e.g., countries or firms). Structural restrictions — short-run, long-run, or sign restrictions — are imposed on the contemporaneous relationships among variables to identify economically meaningful causal shocks and trace their propagation across units and time.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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ScholarGatePorównaj metody: Panel SVAR model · Vector Error Correction Model. Pobrano 2026-06-15 z https://scholargate.app/pl/compare