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Seemingly Unrelated Regression/Evidence
Method evidence record

Seemingly Unrelated Regression

Seemingly Unrelated Regressions, introduced by Arnold Zellner in 1962, is a system regression method that estimates several linear equations jointly when their error terms are correlated across equations. By exploiting that cross-equation correlation through generalized least squares, it is more efficient than estimating each equation separately by OLS.

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Source record

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

Seemingly Unrelated Regressions (SUR)
Taxonomic method record · regression-model / econometrics
  • Zellner, A. (1962). An Efficient Method of Estimating Seemingly Unrelated Regressions and Tests for Aggregation Bias. Journal of the American Statistical Association, 57(298), 348-368. · DOI 10.1080/01621459.1962.10480664
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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 family2SLS Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyOLS Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyPanel Fixed Effectsmachine-suggested · Relational suggestion, not evidence.Same method familySystem GMMmachine-suggested · Relational suggestion, not evidence.Same method familyThree-Stage Least Squaresmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

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

Sources

1 recorded citation, copied from the method source record.

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