手法を比較

	ロバストベクトル自己回帰（Robust VAR）モデル	構造的ベクトル自己回帰 (SVAR)
分野	計量経済学	計量経済学
系統	Regression model	Regression model
提唱年	1980s–2000s	1980
提唱者	Extensions by Lutkepohl and others building on Sims (1980) VAR framework	Sims (1980); identification schemes by Blanchard & Quah (1989)
種類	Multivariate time-series model with robust estimation	Multivariate time series model
原典	Goncalves, S., & Kilian, L. (2004). Bootstrapping autoregressions with conditional heteroskedasticity of unknown form. Journal of Econometrics, 123(1), 89-120.	Blanchard, O. J., & Quah, D. (1989). The dynamic effects of aggregate demand and supply disturbances. American Economic Review, 79(4), 655-673.
別名	robust VAR, outlier-robust VAR, heavy-tailed VAR, RVAR	SVAR, structural vector autoregression, identified VAR, structural VAR model
関連	5	5
概要	The Robust VAR model extends the classical Vector Autoregression framework by replacing ordinary least squares estimation with robust estimators — such as M-estimators or median-based methods — to reduce the influence of outliers, structural breaks, and heavy-tailed shocks common in financial and macroeconomic time series.	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.