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Model Kesan Tetap Panel×Model Kesan Rawak Panel×
BidangEkonometrikEkonometrik
KeluargaRegression modelRegression model
Tahun asal19781966
PengasasMundlak (1978); classical treatment in Wooldridge (2010) and Baltagi (2021)Balestra & Nerlove
JenisPanel regression estimatorPanel data estimator
Sumber perintisWooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586Balestra, 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 ↗
Aliaswithin estimator, FE model, within-group estimator, LSDV modelrandom effects estimator, RE model, GLS random effects, error components model
Berkaitan55
RingkasanThe panel fixed effects (FE) model controls for all time-invariant, unit-specific unobserved heterogeneity by absorbing it into individual intercepts. By sweeping out unit means through the within transformation, FE yields unbiased estimates of the effect of time-varying regressors even when omitted unit-level confounders are correlated with those regressors.The 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.
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ScholarGateBandingkan kaedah: Panel Fixed Effects Model · Panel Random Effects Model. Dicapai 2026-06-15 daripada https://scholargate.app/ms/compare