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Model fiksnih efekata×Arellano-Bond GMM Оцењивач×
OblastEkonometrijaEkonometrija
PorodicaRegression modelRegression model
Godina nastanka1971–19781991
TvoracMundlak (1978); Nerlove (1971); classical panel econometricsManuel Arellano and Stephen Bond
TipPanel regression estimatorGMM estimator for dynamic panel data
Temeljni izvorBaltagi, B. H. (2021). Econometric Analysis of Panel Data (6th ed.). Springer. ISBN: 978-3030538002Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies, 58(2), 277-297. DOI ↗
Drugi naziviFE model, within estimator, least squares dummy variable, LSDV regressionAB-GMM, Difference GMM, first-difference GMM, Arellano-Bond estimator
Srodne55
SažetakThe 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.The Arellano-Bond GMM estimator is the standard approach for dynamic panel data models in which the lagged dependent variable appears as a regressor. By first-differencing to remove fixed effects and using deeper lags as instruments, it yields consistent estimates even when the error is serially correlated and regressors are endogenous.
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ScholarGateUporedite metode: Fixed Effects Model · Arellano-Bond GMM estimator. Preuzeto 2026-06-19 sa https://scholargate.app/sr/compare