Vertaile menetelmiä

	Paneeli-SVAR-malli (Panel Structural Vector Autoregression)	Rakenteellinen vektoritodennäköisyysautoregressio (SVAR)
Tieteenala	Ekonometria	Ekonometria
Menetelmäperhe	Regression model	Regression model
Syntyvuosi	2004 (panel extension); 1986 (SVAR origins)	1980
Kehittäjä	Canova & Ciccarelli; Bernanke (SVAR identification)	Sims (1980); identification schemes by Blanchard & Quah (1989)
Tyyppi	Multivariate time-series model with structural identification	Multivariate time series model
Alkuperäislähde	Canova, F., & Ciccarelli, M. (2004). Forecasting and turning point predictions in a Bayesian panel VAR model. Journal of Econometrics, 120(2), 327-359.	Blanchard, O. J., & Quah, D. (1989). The dynamic effects of aggregate demand and supply disturbances. American Economic Review, 79(4), 655-673.
Rinnakkaisnimet	Panel SVAR, PSVAR, Structural Panel VAR, Panel Structural VAR	SVAR, structural vector autoregression, identified VAR, structural VAR model
Liittyvät	5	5
Tiivistelmä	The 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.