방법 비교

	Quantile VAR	구조적 벡터 자기회귀 (SVAR)
분야	계량경제학	계량경제학
계열	Regression model	Regression model
기원 연도	2006	1980
창시자	Koenker and Xiao	Sims (1980); identification schemes by Blanchard & Quah (1989)
유형	Distribution impulse response	Multivariate time series model
원전	Koenker, R., & Xiao, Z. (2006). Quantile autoregression. Journal of the American Statistical Association, 101(475), 980-990.	Blanchard, O. J., & Quah, D. (1989). The dynamic effects of aggregate demand and supply disturbances. American Economic Review, 79(4), 655-673.
별칭	Quantile-based impulse response	SVAR, structural vector autoregression, identified VAR, structural VAR model
관련	3	5
요약	Quantile VAR estimates impulse responses of multivariate systems conditional on different quantiles of the distribution, revealing how shocks propagate heterogeneously across the conditional distribution. Introduced by Koenker and Xiao (2006) and applied to risk measurement by White et al. (2015), it reveals tail behavior and contagion effects invisible to mean-based VAR analysis. This is essential for risk management and understanding how crises propagate differently than normal times.	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.