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GMM sistēma ar Furjē sistēmu×Robusta ARDL robežu pārbaude (Fourier)×
NozareEkonometrijaEkonometrija
SaimeRegression modelRegression model
Izcelsmes gads2000s–2010s2001-2021
AutorsBlundell & Bond (System GMM, 1998); Fourier augmentation adapted from Gallant (1981) and Becker, Enders & Lee (2006)Pesaran, Shin & Smith (ARDL foundation); Fourier extension by Nazlioglu and related authors
TipsDynamic panel GMM with Fourier smooth-break regressorsCointegration / bounds test
PirmavotsBlundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. DOI ↗Nazlioglu, S., Gormus, A., & Soytas, U. (2021). Oil prices and monetary policy in emerging markets: structural breaks, asymmetries, and Fourier approximations. Energy Economics, 95, 105119. link ↗
Citi nosaukumiFourier System GMM, Fourier-augmented Blundell-Bond GMM, smooth-break system GMM, Fourier SGMMFourier ARDL, Fourier bounds testing, ARDL with Fourier approximation, F-ARDL cointegration test
Saistītās65
KopsavilkumsFourier system GMM embeds Fourier trigonometric terms into the System GMM estimator of Blundell and Bond (1998) to accommodate smooth, gradual structural breaks in dynamic panel data. By adding sine and cosine components as regressors, the estimator captures unknown, potentially multiple regime shifts without requiring prior knowledge of break dates, while preserving the instrument-based controls for endogeneity and individual fixed effects.The Fourier ARDL bounds test augments the Pesaran-Shin-Smith cointegration framework with trigonometric (Fourier) terms that capture gradual, smooth structural breaks in the data-generating process. It tests for a long-run level relationship between variables without requiring the researcher to specify the number, timing, or form of structural breaks in advance.
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ScholarGateSalīdzināt metodes: Fourier system GMM · Fourier ARDL Bounds Test. Izgūts 2026-06-19 no https://scholargate.app/lv/compare