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鲁棒向量纠错模型 (Robust VECM)

Robust VECM 扩展了经典的向量纠错模型,用抗离群值程序(如 M 估计量、S 估计量或最小截尾平方)取代普通最小二乘估计,从而即使在多元时间序列包含离群值、结构性断点或重尾创新时,也能可靠地估计协整关系和短期调整动态。

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来源

  1. Caner, M., & Kilian, L. (2001). Size distortions of tests of the null hypothesis of stationarity: Evidence and implications for the PPP debate. Journal of International Money and Finance, 20(5), 639-657. link
  2. Lucas, A. (1997). Robustness of the student t based M-estimator. Communications in Statistics — Theory and Methods, 26(5), 1165-1182. link

如何引用本页

ScholarGate. (2026, June 3). Robust Vector Error Correction Model. ScholarGate. https://scholargate.app/zh/econometrics/robust-vecm

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被引用于

ScholarGateRobust VECM (Robust Vector Error Correction Model). 于 2026-06-15 检索自 https://scholargate.app/zh/econometrics/robust-vecm · 数据集: https://doi.org/10.5281/zenodo.20539026