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Regression modelGIS / spatial

面板空间回归

面板空间回归在标准面板数据模型的基础上,显式地考虑了随时间观测到的截面单元之间的空间依赖性。它结合了面板固定效应或随机效应在时间上的控制作用,以及编码地理或网络邻近性的空间权重矩阵,从而在单元间存在空间相关性时获得无偏且有效的估计。

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来源

  1. Elhorst, J. P. (2014). Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer. ISBN: 978-3642403408
  2. Anselin, L., Le Gallo, J., & Jayet, H. (2008). Spatial Panel Econometrics. In: The Econometrics of Panel Data (pp. 625-660). Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-540-75892-1_19

如何引用本页

ScholarGate. (2026, June 3). Panel Data Spatial Regression Model. ScholarGate. https://scholargate.app/zh/spatial-analysis/panel-spatial-regression

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被引用于

ScholarGatePanel Spatial Regression (Panel Data Spatial Regression Model). 于 2026-06-15 检索自 https://scholargate.app/zh/spatial-analysis/panel-spatial-regression · 数据集: https://doi.org/10.5281/zenodo.20539026