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Estimator GMM Panel Arellano-Bond×Model Efek Acak Panel×
BidangEkonometrikaEkonometrika
KeluargaRegression modelRegression model
Tahun asal19911966
PencetusManuel Arellano and Stephen BondBalestra & Nerlove
TipeDynamic panel GMM estimatorPanel data estimator
Sumber perintisArellano, 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 ↗Balestra, 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 ↗
AliasArellano-Bond GMM, AB-GMM, difference GMM estimator, dynamic panel GMMrandom effects estimator, RE model, GLS random effects, error components model
Terkait55
RingkasanThe Arellano-Bond GMM estimator addresses the two core problems of dynamic panel models — individual fixed effects correlated with the regressors, and the endogeneity introduced by a lagged dependent variable — by first-differencing to remove fixed effects and then using lagged levels of the dependent variable as internal instruments.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 metode: Panel Arellano-Bond GMM · Panel Random Effects Model. Diakses 2026-06-18 dari https://scholargate.app/id/compare