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Kausaliti Granger Parameter Bervariasi Masa×Structural Vector Autoregression (SVAR)×
BidangEkonometrikEkonometrik
KeluargaRegression modelRegression model
Tahun asal1969 (Granger); TVP extension ~20051980
PengasasC.W.J. Granger (causality concept); TVP extension developed by Primiceri (2005) and subsequent literatureSims (1980); identification schemes by Blanchard & Quah (1989)
JenisCausality test / time-varying modelMultivariate time series model
Sumber perintisGranger, 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 ↗
AliasTVP Granger causality, rolling-window Granger causality, time-varying Granger test, dynamic Granger causalitySVAR, structural vector autoregression, identified VAR, structural VAR model
Berkaitan45
RingkasanTime-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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ScholarGateBandingkan kaedah: Time-varying parameter Granger causality · Structural VAR. Dicapai 2026-06-17 daripada https://scholargate.app/ms/compare