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Fourieův dynamický panelový datový model×Model dynamických panelových dat se strukturálními změnami×
OborEkonometrieEkonometrie
RodinaRegression modelRegression model
Rok vzniku2004-20121991–1998
TvůrceEnders & Lee (2012); Becker, Enders & Hurn (2004)Bai & Perron (break detection); Arellano & Bond (dynamic panel GMM)
TypDynamic panel model with Fourier approximationDynamic panel model with regime change
Původní zdrojEnders, 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 ↗Bai, J., & Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66(1), 47–78. DOI ↗
Další názvyFourier dynamic panel, Fourier DPDM, smooth break dynamic panel, trigonometric dynamic paneldynamic panel with breaks, panel dynamic model structural change, DPDSB, panel dynamic structural break estimator
Příbuzné66
ShrnutíThe 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 structural break dynamic panel data model extends the standard dynamic panel framework by allowing regression coefficients or the autoregressive parameter to shift at one or more unknown break dates. It combines GMM-based dynamic panel estimation with formal structural change tests, enabling researchers to study how economic relationships evolve across distinct regimes while controlling for unobserved individual heterogeneity and endogeneity of the lagged dependent variable.
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ScholarGatePorovnat metody: Fourier Dynamic Panel Data Model · Structural Break Dynamic Panel Data Model. Získáno 2026-06-15 z https://scholargate.app/cs/compare