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Panel Spatial Regression

Panel Spatial Regression extends standard panel data models by explicitly accounting for spatial dependence among cross-sectional units observed over time. It combines the temporal control of panel fixed or random effects with a spatial weights matrix that encodes geographic or network proximity, yielding unbiased and efficient estimates when observations are spatially correlated across units.

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Panel Data Spatial Regression Model

Taksonoomiline meetodikirje · regression-model / spatial-analysis

Elhorst, J. P. (2014). Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer. · ISBN 978-3642403408
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

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Same method familyGeographically Weighted Regressionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMultiscale Geographically Weighted Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyPanel Fixed Effectsmachine-suggested · Relational suggestion, not evidence.Same method familySpatial Durbin Modelmachine-suggested · Relational suggestion, not evidence.Same method familySpatial Error Modelmachine-suggested · Relational suggestion, not evidence.Same method familySpatial Lag Modelmachine-suggested · Relational suggestion, not evidence.