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交叉截面分布滞后

ARDL 模型包含滞后的因变量,这在短面板中会消耗自由度。分布滞后(DL)模型则规定结果仅取决于当前和滞后的解释变量。虽然在捕捉长期均衡关系方面灵活性较差,但 DL 模型在政策分析中非常有效:‘今天、昨天和上周 X 的冲击如何影响今天的 Y?’ 增加横截面依赖性修正使其适用于相互依赖的面板单元。

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来源

  1. Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships and dynamics. Journal of Applied Econometrics, 16(3), 289-326. DOI: 10.1002/jae.616
  2. Chudik, A., Kapetanios, G., & Pesaran, M. H. (2014). Common correlated effects estimation in large panels with cross-sectional dependence. Econometric Reviews, 34(6-10), 1078-1088. link

如何引用本页

ScholarGate. (2026, June 3). Cross-Sectional Distributed Lag Model. ScholarGate. https://scholargate.app/zh/econometrics/cs-dl

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被引用于

ScholarGateCS-DL (Cross-Sectional Distributed Lag Model). 于 2026-06-15 检索自 https://scholargate.app/zh/econometrics/cs-dl · 数据集: https://doi.org/10.5281/zenodo.20539026