เปรียบเทียบวิธี

	แบบจำลอง Robust Structural Vector Autoregression (Robust SVAR)	แบบจำลองการถดถอยอัตโนมัติแบบเวกเตอร์ (VAR)
สาขาวิชา	เศรษฐมิติ	เศรษฐมิติ
ตระกูล	Regression model	Regression model
ปีกำเนิด	2000s–2010s	1980
ผู้ริเริ่ม	Extension of Sims (1980) SVAR with robust inference methods	Christopher A. Sims
ประเภท	Structural time series model	Multivariate time-series model
แหล่งต้นตำรับ	Lutkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. ISBN: 978-3540401728	Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48.
ชื่อเรียกอื่น	robust SVAR, robust structural VAR, heteroscedasticity-robust SVAR, outlier-robust structural VAR	VAR, VAR model, vector autoregressive model, multivariate autoregression
ที่เกี่ยวข้อง	6	5
สรุป	The Robust SVAR model extends the classical Structural VAR framework by incorporating robust estimation and inference methods that remain valid in the presence of heteroscedasticity, non-Gaussian errors, or outliers. By combining structural identification with robust statistical procedures, it produces reliable impulse responses and forecast error variance decompositions even when standard SVAR assumptions are violated in macroeconomic data.	Vector Autoregression is a multivariate time-series model in which each variable is regressed on its own lags and the lags of all other variables in the system. Originally proposed by Sims (1980) as a data-driven alternative to large structural macroeconomic models, VAR has become the standard workhorse for dynamic analysis in empirical economics and finance.