ScholarGate
アシスタント

手法を比較

選択した手法を並べて確認できます。異なる行はハイライト表示されます。

クラスター頑健標準誤差×パネルデータ固定効果モデル×
分野統計学計量経済学
系統Regression modelRegression model
提唱年19862014
提唱者Liang & Zeger (GEE sandwich); Cameron & Miller (practitioner synthesis)Hsiao (textbook treatment); within transformation of panel data
種類Robust variance estimation for regressionPanel data regression
原典Liang, K. Y. & Zeger, S. L. (1986). Longitudinal Data Analysis Using Generalized Linear Models. Biometrika, 73(1), 13-22. DOI ↗Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗
別名clustered standard errors, cluster-robust inference, clustered variance estimator, Küme Robust Standart Hatalarfixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
関連45
概要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.The Panel Data Fixed Effects model estimates relationships from panel data (the same units observed over several time periods) while controlling for unit- and/or time-specific effects, supporting causal inference. It is developed as the within estimator in standard treatments such as Hsiao's Analysis of Panel Data (2014).
ScholarGateデータセット
  1. v1
  2. 2 出典
  3. PUBLISHED
  1. v1
  2. 2 出典
  3. PUBLISHED

検索へ スライドをダウンロード

ScholarGate手法を比較: Cluster-Robust Standard Errors · Panel Fixed Effects. 2026-06-17に以下より取得 https://scholargate.app/ja/compare