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稳健非线性自回归分布式滞后 (Robust NARDL) 模型

Robust NARDL 将 Shin、Yu 和 Greenwood-Nimmo (2014) 的非对称协整框架与抗离群值估计相结合。它将一个回归量分解为正部 sums 和负部 sums,通过边界检验测试非对称的长期关系,并用 M 估计量或 MM 估计量替换 OLS 标准,以防范宏观经济和金融时间序列中常见的杠杆点和加性离群值。

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来源

  1. Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In W. C. Horrace & R. C. Sickles (Eds.), Festschrift in Honor of Peter Schmidt (pp. 281–314). Springer. DOI: 10.1007/978-1-4899-8008-3_9
  2. Autoregressive distributed lag. Wikipedia. link

如何引用本页

ScholarGate. (2026, June 3). Robust Nonlinear Autoregressive Distributed Lag Model. ScholarGate. https://scholargate.app/zh/econometrics/robust-nardl

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ScholarGateRobust NARDL (Robust Nonlinear Autoregressive Distributed Lag Model). 于 2026-06-15 检索自 https://scholargate.app/zh/econometrics/robust-nardl · 数据集: https://doi.org/10.5281/zenodo.20539026