Regression modelEconometrics / time series
结构向量自回归 (SVAR)
结构向量自回归 (SVAR) 通过施加基于经济理论的约束来识别正交结构冲击，从而扩展了简化形式的向量自回归 (VAR)。这使得研究人员能够区分不同经济扰动（例如供给冲击与需求冲击）的因果效应，并通过脉冲响应函数和预测误差方差分解来追踪它们在变量系统中的动态传播。
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
Method map
The neighbourhood of related methods — select a node to explore.
+9 more
来源
- Blanchard, O. J., & Quah, D. (1989). The dynamic effects of aggregate demand and supply disturbances. American Economic Review, 79(4), 655-673. link ↗
- Sims, C. A. (1980). Macroeconomics and reality. Econometrica, 48(1), 1-48. DOI: 10.2307/1912017 ↗
如何引用本页
ScholarGate. (2026, June 3). Structural Vector Autoregression. ScholarGate. https://scholargate.app/zh/econometrics/structural-var
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 自回归移动平均模型 (ARMA)计量经济学↔ compare
- 动态面板数据模型计量经济学↔ compare
- 格兰杰因果检验计量经济学↔ compare
- 向量自回归 (VAR)计量经济学↔ compare
- 向量误差修正模型 (VECM)计量经济学↔ compare