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Paplašinātais Dīkija-Fullera (ADF) vienības saknes tests×Pesaran CD Test×
NozareEkonometrijaEkonometrija
SaimeRegression modelHypothesis test
Izcelsmes gads19792021
AutorsDavid A. Dickey & Wayne A. FullerM. Hashem Pesaran
TipsUnit-root test for stationarityNon-parametric diagnostic test
PirmavotsDickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366a), 427–431. DOI ↗Pesaran, M. H. (2021). General diagnostic tests for cross-sectional dependence in panels. Empirical Economics, 60(1), 13–50. DOI ↗
Citi nosaukumiADF test, Dickey-Fuller test, unit root test, Genişletilmiş Dickey-Fuller testiCD Test, Cross-Sectional Dependence Test, Pesaran General CD Test, Kesitsel Bağımlılık Testi
Saistītās43
KopsavilkumsThe Augmented Dickey-Fuller (ADF) test is the most widely used test for a unit root — that is, for whether a time series is non-stationary and must be differenced before modelling. Introduced by David Dickey and Wayne Fuller in 1979 and extended by Said and Dickey in 1984 to series with higher-order autocorrelation, it regresses the change in the series on its lagged level plus lagged differences and asks whether the lagged-level coefficient is zero.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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ScholarGateSalīdzināt metodes: Augmented Dickey-Fuller Test · Pesaran CD Test. Izgūts 2026-06-19 no https://scholargate.app/lv/compare