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稳健结构向量自回归 (Robust SVAR) 模型×向量自回归 (VAR)×
领域计量经济学计量经济学
方法族Regression modelRegression model
起源年份2000s–2010s1980
提出者Extension of Sims (1980) SVAR with robust inference methodsChristopher A. Sims
类型Structural time series modelMultivariate time-series model
开创性文献Lutkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. ISBN: 978-3540401728Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48. DOI ↗
别名robust SVAR, robust structural VAR, heteroscedasticity-robust SVAR, outlier-robust structural VARVAR, VAR model, vector autoregressive model, multivariate autoregression
相关65
摘要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.
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  1. v1
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  3. PUBLISHED

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ScholarGate方法对比: Robust SVAR model · Vector Autoregression. 于 2026-06-17 检索自 https://scholargate.app/zh/compare