Comparer des méthodes

	Vector Autoregressif Structurel (SVAR)	Modèle de Vector Autoregression (VAR)
Domaine	Économétrie	Économétrie
Famille	Regression model	Regression model
Année d'origine	1980	2005
Auteur d'origine	Christopher Sims	Lütkepohl (textbook treatment); Sims (1980) macroeconometric tradition
Type	Structural multivariate time-series model	Multivariate time-series model
Source fondatrice	Sims, C. A. (1980). Macroeconomics and reality. Econometrica, 48(1), 1–48.	Lütkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer.
Alias	Structural VAR, Identified VAR, SVAR Model, Yapısal Vektör Otoregresyon	vector autoregression, VAR, VAR Modeli (Vektör Otoregresyon), vektör otoregresyon
Apparentées	2	4
Résumé	Structural Vector Autoregression (SVAR) is a multivariate time-series model, developed by Christopher Sims (1980), that extends the reduced-form VAR by imposing economically motivated identifying restrictions on contemporaneous relationships among variables. SVAR enables researchers to isolate orthogonal structural shocks and trace their causal dynamic effects through impulse response functions and forecast error variance decompositions, making it a cornerstone of modern empirical macroeconomics.	Vector Autoregression is a multivariate time-series model that treats several interdependent series symmetrically, letting each variable depend on its own past values and the past values of all the others. It is the standard tool for capturing mutual causality and joint dynamics, developed in the modern multiple-time-series tradition treated by Lütkepohl (2005).