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Model Data Panel Dinamis Fourier×Estimator GMM Arellano-Bond×
BidangEkonometrikaEkonometrika
KeluargaRegression modelRegression model
Tahun asal2004-20121991
PencetusEnders & Lee (2012); Becker, Enders & Hurn (2004)Manuel Arellano and Stephen Bond
TipeDynamic panel model with Fourier approximationGMM estimator for dynamic panel data
Sumber perintisEnders, 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 ↗
AliasFourier dynamic panel, Fourier DPDM, smooth break dynamic panel, trigonometric dynamic panelAB-GMM, Difference GMM, first-difference GMM, Arellano-Bond estimator
Terkait65
RingkasanThe 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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ScholarGateBandingkan metode: Fourier Dynamic Panel Data Model · Arellano-Bond GMM estimator. Diakses 2026-06-19 dari https://scholargate.app/id/compare