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结构性断点向量自回归模型

结构性断点向量自回归（VAR）模型通过允许系数矩阵和误差协方差在一个或多个未知断点日期发生变化，从而扩展了标准的向量自回归（VAR）框架。它适用于经济关系因政策变动、金融危机或重大结构性事件而突然改变的多变量时间序列。

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结构性断点向量自回归模型
结构断点 ARIMA 模型含结构性断点的向量误差修正模型 (SB-VECM)结构向量自回归 (SVAR)向量自回归 (VAR)向量误差修正模型 (VECM)Zivot-Andrews 结构性断点检验傅里叶向量自回归模型结构突变自回归模型结构性断裂向量自回归模型结构性断点Toda-Yamamoto因果检验

来源

  1. Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47–78. DOI: 10.2307/2998540 ↗
  2. 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). Vector Autoregression Model with Structural Breaks. ScholarGate. https://scholargate.app/zh/econometrics/structural-break-var-model

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被引用于

傅里叶向量自回归模型结构突变自回归模型结构性断裂向量自回归模型结构性断点Toda-Yamamoto因果检验含结构性断点的向量误差修正模型 (SB-VECM)

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ScholarGate — Structural Break VAR Model (Vector Autoregression Model with Structural Breaks). 于 2026-06-15 检索自 https://scholargate.app/zh/econometrics/structural-break-var-model · 数据集： https://doi.org/10.5281/zenodo.20539026