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Spatial Panel Model/Evidence
Method evidence record

Spatial Panel Model

The spatial panel model is a family of econometric models that adds spatial dependence to panel data (units observed over time). It combines fixed- or random-effects panel structure with spatial lag, spatial error, or spatial Durbin components, and is developed in the modern spatial-econometrics literature by Elhorst (2014) and Lee & Yu (2010).

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Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Spatial Panel Data Model (Fixed and Random Effects)
Taxonomic method record · regression-model / spatial-analysis
  • Elhorst, J. P. (2014). Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer. · DOI 10.1007/978-3-642-40340-8
  • Lee, L. F., & Yu, J. (2010). Estimation of Spatial Autoregressive Panel Data Models with Fixed Effects. Journal of Econometrics, 154(2), 165–185. · DOI 10.1016/j.jeconom.2009.08.001
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Related methods

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Same method familyGeographically Weighted Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyGetis-Ord Gi*machine-suggested · Relational suggestion, not evidence.Same method familyOLS Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyPanel Fixed Effectsmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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