ScholarGate
Asistent

Usporedite metode

Pregledajte odabrane metode jednu uz drugu; retci koji se razlikuju su istaknuti.

Arellano-Bond GMM procjenitelj×Model dinamičke panelne tablice×
PodručjeEkonometrijaEkonometrija
ObiteljRegression modelRegression model
Godina nastanka19911988–1991
TvoracManuel Arellano and Stephen BondArellano & Bond (1991); Holtz-Eakin, Newey & Rosen (1988)
VrstaGMM estimator for dynamic panel dataDynamic regression / GMM estimation
Temeljni izvorArellano, 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 ↗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 ↗
Drugi naziviAB-GMM, Difference GMM, first-difference GMM, Arellano-Bond estimatordynamic panel model, panel data model with lagged dependent variable, DPD model, Arellano-Bond model
Srodne55
SažetakThe 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.The dynamic panel data model extends standard panel regression by including a lagged value of the outcome variable as a regressor, capturing persistence and adjustment dynamics. Because the lagged dependent variable is correlated with the unit-specific fixed effect, ordinary OLS or within estimators are biased; GMM-based methods using internal instruments are the standard remedy.
ScholarGateSkup podataka
  1. v1
  2. 2 Izvori
  3. PUBLISHED
  1. v1
  2. 2 Izvori
  3. PUBLISHED

Idi na pretraživanje Preuzmi prezentaciju

ScholarGateUsporedite metode: Arellano-Bond GMM estimator · Dynamic Panel Data Model. Preuzeto 2026-06-18 s https://scholargate.app/hr/compare