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Zeitvariierende Parameter Granger-Kausalität×Strukturelle Vektorautoregression (SVAR)×
FachgebietÖkonometrieÖkonometrie
FamilieRegression modelRegression model
Entstehungsjahr1969 (Granger); TVP extension ~20051980
UrheberC.W.J. Granger (causality concept); TVP extension developed by Primiceri (2005) and subsequent literatureSims (1980); identification schemes by Blanchard & Quah (1989)
TypCausality test / time-varying modelMultivariate time series model
Wegweisende QuelleGranger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3), 424-438. DOI ↗Blanchard, O. J., & Quah, D. (1989). The dynamic effects of aggregate demand and supply disturbances. American Economic Review, 79(4), 655-673. link ↗
AliasnamenTVP Granger causality, rolling-window Granger causality, time-varying Granger test, dynamic Granger causalitySVAR, structural vector autoregression, identified VAR, structural VAR model
Verwandt45
ZusammenfassungTime-varying parameter Granger causality extends the classical Granger causality framework by allowing the predictive relationships between time series to evolve across time. Instead of assuming fixed causal effects, the model estimates causal coefficients that can shift, capturing structural breaks, regime changes, or gradual evolution in economic or financial relationships.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: Time-varying parameter Granger causality · Structural VAR. Abgerufen am 2026-06-17 von https://scholargate.app/de/compare