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非线性向量自回归模型

非线性向量自回归(NLVAR)模型通过允许多个时间序列之间的动态关系根据可观测的阈值变量、潜在的状态或平滑的转移函数而平滑地切换或变化,从而扩展了标准的向量自回归模型。当经济系统表现出线性 VAR 无法捕捉的不对称响应、状态转换或状态依赖性动态时,便会使用该模型。

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来源

  1. Tsay, R. S. (1998). Testing and modeling multivariate threshold models. Journal of the American Statistical Association, 93(443), 1188–1202. DOI: 10.1080/01621459.1998.10473779
  2. Krolzig, H.-M. (1997). Markov-Switching Vector Autoregressions: Modelling, Statistical Inference, and Application to Business Cycle Analysis. Springer. ISBN: 978-3540628644

如何引用本页

ScholarGate. (2026, June 3). Nonlinear Vector Autoregression Model. ScholarGate. https://scholargate.app/zh/econometrics/nonlinear-var-model

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被引用于

ScholarGateNonlinear VAR Model (Nonlinear Vector Autoregression Model). 于 2026-06-15 检索自 https://scholargate.app/zh/econometrics/nonlinear-var-model · 数据集: https://doi.org/10.5281/zenodo.20539026