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Fourier'i dünaamiline paneelромуслуги mudel×Arellano-Bongi GMM-hinnang×
ValdkondÖkonomeetriaÖkonomeetria
PerekondRegression modelRegression model
Tekkeaasta2004-20121991
LoojaEnders & Lee (2012); Becker, Enders & Hurn (2004)Manuel Arellano and Stephen Bond
TüüpDynamic panel model with Fourier approximationGMM estimator for dynamic panel data
AlgallikasEnders, W., & Lee, J. (2012). A unit root test using a Fourier series to approximate smooth breaks. Oxford Bulletin of Economics and Statistics, 74(4), 574-599. 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 ↗
RööpnimetusedFourier dynamic panel, Fourier DPDM, smooth break dynamic panel, trigonometric dynamic panelAB-GMM, Difference GMM, first-difference GMM, Arellano-Bond estimator
Seotud65
KokkuvõteThe Fourier dynamic panel data model extends standard dynamic panel specifications by incorporating low-frequency trigonometric (Fourier) terms to flexibly capture smooth, gradual structural breaks or time-varying patterns in the data, without requiring knowledge of the exact number or timing of breaks.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.
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ScholarGateVõrdle meetodeid: Fourier Dynamic Panel Data Model · Arellano-Bond GMM estimator. Loetud 2026-06-19 aadressilt https://scholargate.app/et/compare