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Global Spatial Durbin Model/Evidence
Method evidence record

Global Spatial Durbin Model

The Global Spatial Durbin Model extends the spatial lag model by including not only a spatially lagged dependent variable but also spatially lagged independent variables (WX). A single set of global coefficients applies uniformly across all locations, making it suitable for estimating average spillover effects when spatial dependence is pervasive throughout the study region.

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Source record

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

Global Spatial Durbin Model
Taxonomic method record · regression-model / spatial-analysis
  • LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. · ISBN 978-1420064247
  • Elhorst, J. P. (2014). Spatial Econometrics: From Cross-Sectional Data to Spatial Panels. Springer. · ISBN 978-3642403392
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Curated claims

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familyGeographically Weighted Regressionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketGlobal Spatial Error Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMultiscale Geographically Weighted Regressionmachine-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.

Evidence status

Sources recorded, not reviewed

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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