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面板数据结构性断点分析

面板数据结构性断点分析旨在检测和估计时间点(断点日期),在这些时间点,回归系数在被观察多个时期的截面单位面板中发生永久性变化。通过联合利用截面和时间序列变异性,它比单序列断点检验能更清晰地识别制度转变,并能为每个断点前后的制度分别提供独立的系数估计。

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来源

  1. Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47-78. DOI: 10.2307/2998540
  2. Pesaran, M. H., & Smith, R. (1995). Estimating long-run relationships from dynamic heterogeneous panels. Journal of Econometrics, 68(1), 79-113. DOI: 10.1016/0304-4076(94)01644-F

如何引用本页

ScholarGate. (2026, June 3). Structural Break Analysis in Panel Data Models. ScholarGate. https://scholargate.app/zh/econometrics/structural-break-panel-data-analysis

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被引用于

ScholarGateStructural Break Panel Data Analysis (Structural Break Analysis in Panel Data Models). 于 2026-06-15 检索自 https://scholargate.app/zh/econometrics/structural-break-panel-data-analysis · 数据集: https://doi.org/10.5281/zenodo.20539026