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Estymator GMM Arellano-Bonda×Model dynamicznych danych panelowych×
DziedzinaEkonometriaEkonometria
RodzinaRegression modelRegression model
Rok powstania19911988–1991
TwórcaManuel Arellano and Stephen BondArellano & Bond (1991); Holtz-Eakin, Newey & Rosen (1988)
TypGMM estimator for dynamic panel dataDynamic regression / GMM estimation
Źródło pierwotneArellano, 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 ↗
Inne nazwyAB-GMM, Difference GMM, first-difference GMM, Arellano-Bond estimatordynamic panel model, panel data model with lagged dependent variable, DPD model, Arellano-Bond model
Pokrewne55
PodsumowanieThe 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.
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ScholarGatePorównaj metody: Arellano-Bond GMM estimator · Dynamic Panel Data Model. Pobrano 2026-06-18 z https://scholargate.app/pl/compare