Сравнение на методи

	Квантилен ВАР	Структурна векторна авторегресия (SVAR)
Област	Иконометрия	Иконометрия
Семейство	Regression model	Regression model
Година на възникване	2006	1980
Създател	Koenker and Xiao	Sims (1980); identification schemes by Blanchard & Quah (1989)
Тип	Distribution impulse response	Multivariate time series model
Основополагащ източник	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.
Други названия	Quantile-based impulse response	SVAR, structural vector autoregression, identified VAR, structural VAR model
Свързани	3	5
Резюме	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.