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Panel Structural Vector Autoregression (Panel SVAR) Modell×Strukturelle Vektorautoregression (SVAR)×
FachgebietÖkonometrieÖkonometrie
FamilieRegression modelRegression model
Entstehungsjahr2004 (panel extension); 1986 (SVAR origins)1980
UrheberCanova & Ciccarelli; Bernanke (SVAR identification)Sims (1980); identification schemes by Blanchard & Quah (1989)
TypMultivariate time-series model with structural identificationMultivariate time series model
Wegweisende QuelleCanova, F., & Ciccarelli, M. (2004). Forecasting and turning point predictions in a Bayesian panel VAR model. Journal of Econometrics, 120(2), 327-359. DOI ↗Blanchard, O. J., & Quah, D. (1989). The dynamic effects of aggregate demand and supply disturbances. American Economic Review, 79(4), 655-673. link ↗
AliasnamenPanel SVAR, PSVAR, Structural Panel VAR, Panel Structural VARSVAR, structural vector autoregression, identified VAR, structural VAR model
Verwandt55
ZusammenfassungThe 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.Structural VAR extends the reduced-form VAR by imposing economic theory-based restrictions that identify orthogonal structural shocks. This allows researchers to disentangle the causal effects of distinct economic disturbances — such as supply versus demand shocks — and trace their dynamic propagation through a system of variables via impulse response functions and forecast error variance decompositions.
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ScholarGateMethoden vergleichen: Panel SVAR model · Structural VAR. Abgerufen am 2026-06-15 von https://scholargate.app/de/compare