Comparar métodos

	Granger Causalidad con Parámetros Variable en el Tiempo	Vector Autorregresivo Estructural (SVAR)
Campo	Econometría	Econometría
Familia	Regression model	Regression model
Año de origen	1969 (Granger); TVP extension ~2005	1980
Autor original	C.W.J. Granger (causality concept); TVP extension developed by Primiceri (2005) and subsequent literature	Sims (1980); identification schemes by Blanchard & Quah (1989)
Tipo	Causality test / time-varying model	Multivariate time series model
Fuente seminal	Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3), 424-438.	Blanchard, O. J., & Quah, D. (1989). The dynamic effects of aggregate demand and supply disturbances. American Economic Review, 79(4), 655-673.
Alias	TVP Granger causality, rolling-window Granger causality, time-varying Granger test, dynamic Granger causality	SVAR, structural vector autoregression, identified VAR, structural VAR model
Relacionados	4	5
Resumen	Time-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.