Regression modelEconometrics / time series

Robusni GMM-ov procjenitelj Arellano-Bonda

Robusni GMM-ov procjenitelj Arellano-Bonda primjenjuje pristup GMM-a prvih razlika Arellano-Bonda na dinamičke panelne podatke uz računanje standardnih pogrešaka dosljednih kod heteroskedastičnosti i autokorelacije (robusnih). Ova kombinacija rješava Nickellovu pristranost od zaostalih zavisnih varijabli i istovremeno daje pouzdanu inferenciju kada se pogreške varijance razlikuju među jedinicama ili razdobljima.

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Izvori

  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

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Robust Arellano-Bond Generalized Method of Moments Estimator. ScholarGate. https://scholargate.app/hr/econometrics/robust-arellano-bond-gmm

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ScholarGateRobust Arellano-Bond GMM (Robust Arellano-Bond Generalized Method of Moments Estimator). Preuzeto 2026-06-15 s https://scholargate.app/hr/econometrics/robust-arellano-bond-gmm · Skup podataka: https://doi.org/10.5281/zenodo.20539026