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Spatial Regression/Evidence
Method evidence record

Spatial Regression

Spatial regression is a family of regression models that build geographic neighbourhood relationships directly into the model, introduced by Luc Anselin in his 1988 treatment of spatial econometrics. It splits into a spatial lag model, where spatial dependence sits in the dependent variable, and a spatial error model, where the dependence sits in the error term.

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Source record

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

Spatial Regression (Spatial Lag and Spatial Error Models)
Taxonomic method record · regression-model / econometrics
  • Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publishers. · DOI 10.1007/978-94-015-7799-1
  • LeSage, J. & Pace, R. K. (2009). Introduction to Spatial Econometrics. Chapman & Hall/CRC. · DOI 10.1201/9781420064254
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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

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Related methods

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

Same method familyOLS Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyPanel Fixed Effectsmachine-suggested · Relational suggestion, not evidence.Same method familyQuantile Regressionmachine-suggested · Relational suggestion, not evidence.Same method familySeemingly Unrelated Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyThreshold Regressionmachine-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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