Regression modelEconometrics / time series

Panel Arellano-Bond GMM Estimator

The 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.

EconMind ile uygulaSoonVideoSoon

Tam yöntemi oku

Members only

Sign in with a free account to read this section.

Sign in

Sources

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

Related methods

Referenced by

ScholarGatePanel Arellano-Bond GMM (Panel Data Arellano-Bond Generalized Method of Moments Estimator). Retrieved 2026-06-04 from https://scholargate.app/tr/econometrics/panel-arellano-bond-gmm