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Regression model

Klynge-robuste standardfejl

Klynge-robuste standardfejl korrigerer variansen af regressionskoefficienter, når observationer er korrelerede inden for klynger som skoler, hospitaler eller regioner. Den klyngede sandwich-estimator stammer fra Liang & Zegers (1986) generaliserede estimeringsligninger og blev syntetiseret til anvendt arbejde af Cameron & Miller (2015), hvilket giver gyldig inferens, når almindelige standardfejl ville være for små.

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Method map

The neighbourhood of related methods — select a node to explore.

Kilder

  1. 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
  2. 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

Sådan citerer du denne side

ScholarGate. (2026, June 1). Cluster-Robust (Clustered) Standard Errors. ScholarGate. https://scholargate.app/da/statistics/cluster-robust-se

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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Refereret af

ScholarGateCluster-Robust Standard Errors (Cluster-Robust (Clustered) Standard Errors). Hentet 2026-06-15 fra https://scholargate.app/da/statistics/cluster-robust-se · Datasæt: https://doi.org/10.5281/zenodo.20539026