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稳健结构向量自回归 (Robust SVAR) 模型

Robust SVAR 模型扩展了经典的结构向量自回归 (SVAR) 框架,通过纳入稳健的估计和推断方法,使其在存在异方差、非高斯误差或异常值时仍保持有效。通过结合结构识别和稳健的统计程序,即使在宏观经济数据中标准 SVAR 假设被违反时,它也能产生可靠的脉冲响应和预测误差方差分解。

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来源

  1. Lutkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. ISBN: 978-3540401728
  2. Herwartz, H., & Ploedt, M. (2016). Simulation evidence on theory-based and statistical identification under volatility breaks. Oxford Bulletin of Economics and Statistics, 78(1), 94-112. DOI: 10.1111/obes.12098

如何引用本页

ScholarGate. (2026, June 3). Robust Structural Vector Autoregression Model. ScholarGate. https://scholargate.app/zh/econometrics/robust-svar-model

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ScholarGateRobust SVAR model (Robust Structural Vector Autoregression Model). 于 2026-06-15 检索自 https://scholargate.app/zh/econometrics/robust-svar-model · 数据集: https://doi.org/10.5281/zenodo.20539026