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Робастен анализ на панелни данни×Модел с фиксирани ефекти×
ОбластИконометрияИконометрия
СемействоRegression modelRegression model
Година на възникване19871971–1978
СъздателArellano (1987); White (1980) heteroscedasticity-consistent frameworkMundlak (1978); Nerlove (1971); classical panel econometrics
ТипRobust estimation / inference correctionPanel regression estimator
Основополагащ източникArellano, M. (1987). Computing robust standard errors for within-groups estimators. Oxford Bulletin of Economics and Statistics, 49(4), 431–434. link ↗Baltagi, B. H. (2021). Econometric Analysis of Panel Data (6th ed.). Springer. ISBN: 978-3030538002
Други названияrobust panel regression, cluster-robust panel estimation, panel regression with robust standard errors, HC/CR panel estimatorFE model, within estimator, least squares dummy variable, LSDV regression
Свързани65
РезюмеRobust panel data analysis applies standard panel estimators — fixed effects, random effects, or pooled OLS — while replacing conventional standard errors with cluster-robust or heteroscedasticity-consistent (HC) variants. The point estimates remain unchanged; what changes is the variance-covariance matrix used for inference, making t-tests and F-tests valid even when errors are heteroscedastic or correlated within cross-sectional units over time.The fixed effects (FE) model is the workhorse estimator for panel data when unobserved unit-specific characteristics are suspected to correlate with the regressors. By absorbing each entity's time-invariant heterogeneity into a separate intercept, FE isolates the causal effect of within-unit variation and eliminates omitted-variable bias from time-constant confounders.
ScholarGateНабор от данни
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  2. 2 Източници
  3. PUBLISHED
  1. v1
  2. 2 Източници
  3. PUBLISHED

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ScholarGateСравнение на методи: Robust Panel Data Analysis · Fixed Effects Model. Извлечено на 2026-06-15 от https://scholargate.app/bg/compare