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Njuvej-Vest HAC standardne greške×Pesaranov CD test: Dijagnostika presečne zavisnosti za panelne podatke×
OblastEkonometrijaEkonometrija
PorodicaRegression modelHypothesis test
Godina nastanka19872021
TvoracWhitney Newey & Kenneth WestM. Hashem Pesaran
TipCovariance matrix estimatorNon-parametric diagnostic test
Temeljni izvorNewey, W. K., & West, K. D. (1987). A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix. Econometrica, 55(3), 703–708. DOI ↗Pesaran, M. H. (2021). General diagnostic tests for cross-sectional dependence in panels. Empirical Economics, 60(1), 13–50. DOI ↗
Drugi naziviHAC standard errors, Heteroskedasticity and Autocorrelation Consistent covariance, Bartlett kernel HAC estimator, HAC düzeltmeli standart hatalarCD Test, Cross-Sectional Dependence Test, Pesaran General CD Test, Kesitsel Bağımlılık Testi
Srodne13
SažetakNewey-West HAC standard errors, introduced by Whitney Newey and Kenneth West in 1987, provide a covariance matrix estimator for OLS regression that remains valid under both heteroskedasticity and serial autocorrelation of unknown form. They are the standard tool for correcting inference in time-series and panel regression when residuals are not i.i.d., requiring no specification of the error structure beyond choosing a bandwidth parameter.The Pesaran CD test is a general diagnostic procedure for detecting cross-sectional dependence in panel data models. Developed by M. Hashem Pesaran (2021), it is applicable to both balanced and unbalanced panels with large N and T, and retains validity under heterogeneous slope coefficients. The test is widely adopted in empirical economics, finance, and political economy as a prerequisite check before selecting appropriate estimators or unit-root tests for panel datasets.
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ScholarGateUporedite metode: Newey-West HAC · Pesaran CD Test. Preuzeto 2026-06-20 sa https://scholargate.app/sr/compare