Linganisha mbinu

	Muundo wa VAR Usio na Mstari	Urejeshaji wa Vekta wa Kimuundo (SVAR)
Nyanja	Ekonometriki	Ekonometriki
Familia	Regression model	Regression model
Mwaka wa asili	1990s–2000s	1980
Mwanzilishi	Tsay (1998); Krolzig (1997); Tong (1990) for threshold framework	Sims (1980); identification schemes by Blanchard & Quah (1989)
Aina	Multivariate nonlinear time series model	Multivariate time series model
Chanzo asilia	Tsay, R. S. (1998). Testing and modeling multivariate threshold models. Journal of the American Statistical Association, 93(443), 1188–1202.	Blanchard, O. J., & Quah, D. (1989). The dynamic effects of aggregate demand and supply disturbances. American Economic Review, 79(4), 655-673.
Majina mbadala	NLVAR, nonlinear vector autoregression, threshold VAR, TVAR	SVAR, structural vector autoregression, identified VAR, structural VAR model
Zinazohusiana	4	5
Muhtasari	The Nonlinear VAR (NLVAR) model extends the standard vector autoregression by allowing the dynamic relationships among multiple time series to switch or change smoothly depending on an observed threshold variable, a latent regime state, or a smooth transition function. It is used when economic systems exhibit asymmetric responses, regime shifts, or state-dependent dynamics that a linear VAR cannot capture.	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.