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Cluster-Robust Standard Errors/Evidence
Method evidence record

Cluster-Robust Standard Errors

Cluster-robust standard errors correct the variance of regression coefficients when observations are correlated within clusters such as schools, hospitals, or regions. The clustered sandwich estimator grew out of Liang & Zeger's (1986) generalized estimating equations and was synthesized for applied work by Cameron & Miller (2015), delivering valid inference when ordinary standard errors would be too small.

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Cluster-Robust (Clustered) Standard Errors
Taxonomic method record · regression-model / statistics
  • Liang, K. Y. & Zeger, S. L. (1986). Longitudinal Data Analysis Using Generalized Linear Models. Biometrika, 73(1), 13-22. · DOI 10.1093/biomet/73.1.13
  • Cameron, A. C. & Miller, D. L. (2015). A Practitioner's Guide to Cluster-Robust Inference. Journal of Human Resources, 50(2), 317-372. · DOI 10.3368/jhr.50.2.317
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Related methods

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Same method familyOLS Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyPanel Fixed Effectsmachine-suggested · Relational suggestion, not evidence.Same method familyPermutation Testmachine-suggested · Relational suggestion, not evidence.Same method familyWild Bootstrapmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Sources

2 recorded citations, copied from the method source record.

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