ScholarGate
Assistent
Regression modelEconometrics / time series

Difference GMM (Arellano-Bond Estimator)

Difference GMM, introduceret af Arellano og Bond (1991), estimerer dynamiske paneldatamodeller ved først at differensere ligningen for at fjerne faste effekter og derefter bruge lagged levels af de endogene variable som GMM-instrumenter. Det er standardtilgangen, når en lagged afhængig variabel eller andre endogene regressorer er til stede i et panel med mange enheder og få tidsperioder.

Anvend med EconMindSnartVideoSnartDownload slides

Læs hele metoden

Kun for medlemmer

Log ind med en gratis konto for at læse dette afsnit.

Log ind

Method map

The neighbourhood of related methods — select a node to explore.

+6 more

Kilder

  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

Sådan citerer du denne side

ScholarGate. (2026, June 3). First-Differenced Generalized Method of Moments Estimator. ScholarGate. https://scholargate.app/da/econometrics/difference-gmm

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

Refereret af

ScholarGateDifference GMM (First-Differenced Generalized Method of Moments Estimator). Hentet 2026-06-15 fra https://scholargate.app/da/econometrics/difference-gmm · Datasæt: https://doi.org/10.5281/zenodo.20539026