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脉冲响应函数 (IRF)×结构向量自回归 (SVAR)×
领域计量经济学计量经济学
方法族Regression modelRegression model
起源年份20051980
提出者Helmut LütkepohlChristopher Sims
类型Post-estimation diagnosticStructural multivariate time-series model
开创性文献Lütkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. ISBN: 978-3-540-40172-8Sims, C. A. (1980). Macroeconomics and reality. Econometrica, 48(1), 1–48. DOI ↗
别名IRF, Dynamic Multiplier, Shock Response Function, Etki Tepki FonksiyonuStructural VAR, Identified VAR, SVAR Model, Yapısal Vektör Otoregresyon
相关32
摘要The Impulse Response Function (IRF) traces the dynamic response of each variable in a Vector Autoregression (VAR) system to a one-unit shock in one of its error terms over a user-specified forecast horizon. It is the primary tool for structural analysis following VAR estimation and is widely used in macroeconomics, monetary economics, and finance to quantify how shocks propagate through interconnected time series systems.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.
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ScholarGate方法对比: Impulse Response Function · SVAR. 于 2026-06-15 检索自 https://scholargate.app/zh/compare