ScholarGate
Assistent

Sammenlign metoder

Gennemgå dine valgte metoder side om side; rækker, der afviger, er fremhævet.

Robust Arellano-Bond GMM Estimator×Arellano-Bond GMM-estimator×
FagområdeØkonometriØkonometri
FamilieRegression modelRegression model
Oprindelsesår19911991
OphavspersonArellano & Bond (1991); robust inference extensions by Windmeijer (2005)Manuel Arellano and Stephen Bond
TypeDynamic panel GMM estimator with robust inferenceGMM estimator for dynamic panel data
Oprindelig kildeArellano, 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 ↗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 ↗
AliasserRobust Difference GMM, AB-GMM with robust standard errors, Robust first-difference GMM, Arellano-Bond robust estimatorAB-GMM, Difference GMM, first-difference GMM, Arellano-Bond estimator
Relaterede65
ResuméThe 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 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.
ScholarGateDatasæt
  1. v1
  2. 2 Kilder
  3. PUBLISHED
  1. v1
  2. 2 Kilder
  3. PUBLISHED

Gå til søgning Hent slides

ScholarGateSammenlign metoder: Robust Arellano-Bond GMM · Arellano-Bond GMM estimator. Hentet 2026-06-20 fra https://scholargate.app/da/compare