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Analiza panel-podataka×Arellano-Bond GMM procjenitelj×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka1966–19781991
TvoracBalestra & Nerlove (1966); Mundlak (1978); Hausman (1978)Manuel Arellano and Stephen Bond
VrstaPanel regression frameworkGMM estimator for dynamic panel data
Temeljni izvorBaltagi, B. H. (2021). Econometric Analysis of Panel Data (6th ed.). Springer. ISBN: 978-3030539528Arellano, 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 nazivilongitudinal data analysis, pooled cross-sectional time-series analysis, panel regression, data panel analysisAB-GMM, Difference GMM, first-difference GMM, Arellano-Bond estimator
Srodne55
SažetakPanel data analysis models data that track multiple units — countries, firms, individuals — over time, enabling researchers to control for unobserved unit-level heterogeneity that would otherwise bias cross-sectional or time-series estimates. The two core specifications are fixed effects and random effects, selected via the Hausman test.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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