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稳健的Arellano-Bond GMM估计量×面板固定效应模型×
领域计量经济学计量经济学
方法族Regression modelRegression model
起源年份19911978
提出者Arellano & Bond (1991); robust inference extensions by Windmeijer (2005)Mundlak (1978); classical treatment in Wooldridge (2010) and Baltagi (2021)
类型Dynamic panel GMM estimator with robust inferencePanel regression estimator
开创性文献Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, 58(2), 277-297. DOI ↗Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586
别名Robust Difference GMM, AB-GMM with robust standard errors, Robust first-difference GMM, Arellano-Bond robust estimatorwithin estimator, FE model, within-group estimator, LSDV model
相关65
摘要The Robust Arellano-Bond GMM estimator applies the Arellano-Bond first-difference GMM approach to dynamic panel data while computing heteroscedasticity- and autocorrelation-consistent (robust) standard errors. This combination handles the Nickell bias from lagged dependent variables and simultaneously yields reliable inference when error variances differ across units or periods.The 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.
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ScholarGate方法对比: Robust Arellano-Bond GMM · Panel Fixed Effects Model. 于 2026-06-19 检索自 https://scholargate.app/zh/compare