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Testul Augmented Dickey-Fuller (ADF) pentru rădăcină unitară×Testul CIPS×
DomeniuEconometrieEconometrie
FamilieRegression modelHypothesis test
Anul apariției19792007
Autorul originalDavid A. Dickey & Wayne A. FullerM. Hashem Pesaran
TipUnit-root test for stationarityPanel unit-root test with cross-section dependence
Sursa seminalăDickey, 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. (2007). A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics, 22(2), 265–312. DOI ↗
Denumiri alternativeADF test, Dickey-Fuller test, unit root test, Genişletilmiş Dickey-Fuller testiPesaran CIPS Test, Cross-Sectionally Augmented IPS, Second-Generation Panel Unit-Root Test, CIPS Birim Kök Testi
Înrudite43
RezumatThe 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 CIPS test, introduced by Pesaran (2007), is a second-generation panel unit-root test designed for panels in which the cross-sectional units share unobserved common factors that induce cross-section dependence. By augmenting each individual ADF regression with cross-sectional averages and their lags, the CIPS test accounts for this dependence and produces reliable inference where first-generation tests such as the original IPS test break down. It is widely applied in macroeconomic and finance panels where shocks propagate across countries or regions.
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ScholarGateCompară metode: Augmented Dickey-Fuller Test · CIPS Test. Preluat la 2026-06-18 de pe https://scholargate.app/ro/compare