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Regression model

空间回归(空间滞后和空间误差模型)

空间回归是回归模型家族中的一类,它将地理邻里关系直接构建到模型中,由 Luc Anselin 在其 1988 年关于空间计量经济学的著作中提出。它分为空间滞后模型(空间依赖性体现在因变量中)和空间误差模型(空间依赖性体现在误差项中)。

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来源

  1. Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publishers. DOI: 10.1007/978-94-015-7799-1
  2. LeSage, J. & Pace, R. K. (2009). Introduction to Spatial Econometrics. Chapman & Hall/CRC. DOI: 10.1201/9781420064254

如何引用本页

ScholarGate. (2026, June 1). Spatial Regression (Spatial Lag and Spatial Error Models). ScholarGate. https://scholargate.app/zh/econometrics/spatial-regression

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被引用于

ScholarGateSpatial Regression (Spatial Regression (Spatial Lag and Spatial Error Models)). 于 2026-06-15 检索自 https://scholargate.app/zh/econometrics/spatial-regression · 数据集: https://doi.org/10.5281/zenodo.20539026