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Model Efek Acak Panel×Model Efek Tetap×
BidangEkonometrikaEkonometrika
KeluargaRegression modelRegression model
Tahun asal19661971–1978
PencetusBalestra & NerloveMundlak (1978); Nerlove (1971); classical panel econometrics
TipePanel data estimatorPanel regression estimator
Sumber perintisBalestra, P., & Nerlove, M. (1966). Pooling cross section and time series data in the estimation of a dynamic model: The demand for natural gas. Econometrica, 34(3), 585–612. DOI ↗Baltagi, B. H. (2021). Econometric Analysis of Panel Data (6th ed.). Springer. ISBN: 978-3030538002
Aliasrandom effects estimator, RE model, GLS random effects, error components modelFE model, within estimator, least squares dummy variable, LSDV regression
Terkait55
RingkasanThe panel random effects (RE) model treats individual-specific effects as random draws from a population distribution rather than fixed constants, enabling efficient estimation by generalised least squares and allowing inference about time-invariant regressors that are swept away in fixed effects estimation.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.
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ScholarGateBandingkan metode: Panel Random Effects Model · Fixed Effects Model. Diakses 2026-06-15 dari https://scholargate.app/id/compare