مقایسهٔ روش‌ها

	مدل خودرگرسیون برداری ساختاری غیرخطی (NL-SVAR)	مدل خودرگرسیون برداری ساختاری (SVAR)
حوزه	اقتصادسنجی	اقتصادسنجی
خانواده	Regression model	Regression model
سال پیدایش	1990s–2010s	1980
پدیدآور	Extensions by Koop, Potter, Auerbach, Gorodnichenko and others	Sims (1980); identification schemes by Blanchard & Quah (1989)
نوع	Multivariate nonlinear structural time series model	Multivariate time series model
منبع بنیادین	Koop, G., & Korobilis, D. (2010). Bayesian multivariate time series methods for empirical macroeconomics. Foundations and Trends in Econometrics, 3(4), 267–358.	Blanchard, O. J., & Quah, D. (1989). The dynamic effects of aggregate demand and supply disturbances. American Economic Review, 79(4), 655-673.
نام‌های دیگر	nonlinear structural VAR, NL-SVAR, threshold SVAR, regime-switching SVAR	SVAR, structural vector autoregression, identified VAR, structural VAR model
مرتبط	6	5
خلاصه	The Nonlinear Structural VAR model extends the standard SVAR framework to allow structural relationships and dynamic responses to vary across economic regimes or states of the world. By imposing nonlinear transition mechanisms — such as threshold switching or smooth regime change — it captures asymmetric responses to shocks that a linear SVAR cannot detect.	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.