方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 结构向量自回归 (SVAR)× | 脉冲响应函数 (IRF)× | |
|---|---|---|
| 领域 | 计量经济学 | 计量经济学 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1980 | 2005 |
| 提出者≠ | Christopher Sims | Helmut Lütkepohl |
| 类型≠ | Structural multivariate time-series model | Post-estimation diagnostic |
| 开创性文献≠ | Sims, C. A. (1980). Macroeconomics and reality. Econometrica, 48(1), 1–48. DOI ↗ | Lütkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. ISBN: 978-3-540-40172-8 |
| 别名 | Structural VAR, Identified VAR, SVAR Model, Yapısal Vektör Otoregresyon | IRF, Dynamic Multiplier, Shock Response Function, Etki Tepki Fonksiyonu |
| 相关≠ | 2 | 3 |
| 摘要≠ | 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. | 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. |
| ScholarGate数据集 ↗ |
|
|