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结构突变自回归模型

结构突变自回归(AR)模型通过允许截距和自回归系数在一个或多个未知突变日期发生变化,扩展了标准自回归框架。连续突变点之间的每个区间都由其自身的AR参数控制,从而捕捉由危机、政策转变或其他冲击引起的时间序列动态的突然变化。

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来源

  1. Bai, J., & Perron, P. (2003). Computation and analysis of multiple structural change models. Journal of Applied Econometrics, 18(1), 1-22. DOI: 10.1002/jae.659
  2. Perron, P. (1989). The great crash, the oil price shock, and the unit root hypothesis. Econometrica, 57(6), 1361-1401. DOI: 10.2307/1913712

如何引用本页

ScholarGate. (2026, June 3). Autoregressive Model with Structural Breaks. ScholarGate. https://scholargate.app/zh/econometrics/structural-break-ar-model

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被引用于

ScholarGateStructural Break AR Model (Autoregressive Model with Structural Breaks). 于 2026-06-15 检索自 https://scholargate.app/zh/econometrics/structural-break-ar-model · 数据集: https://doi.org/10.5281/zenodo.20539026