Regression modelEconometrics / time series

Robust Arellano-Bond GMM Estimator

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.

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Sources

  1. 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: 10.2307/2297968
  2. Roodman, D. (2009). How to do xtabond2: An introduction to difference and system GMM in Stata. The Stata Journal, 9(1), 86-136. DOI: 10.1177/1536867X0900900106

Related methods

ScholarGateRobust Arellano-Bond GMM (Robust Arellano-Bond Generalized Method of Moments Estimator). Retrieved 2026-06-04 from https://scholargate.app/en/econometrics/robust-arellano-bond-gmm