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Testul robust de rădăcină unitară Augmented Dickey-Fuller×Testul Augmented Dickey-Fuller (ADF) pentru rădăcină unitară×
DomeniuEconometrieEconometrie
FamilieRegression modelRegression model
Anul apariției1996-20011979–1984
Autorul originalNg and Perron (2001); Elliott, Rothenberg, and Stock (1996)Said & Dickey (1984); building on Dickey & Fuller (1979)
TipUnit root / stationarity testHypothesis test (unit root)
Sursa seminalăNg, S., and Perron, P. (2001). Lag length selection and the construction of unit root tests with good size and power. Econometrica, 69(6), 1519-1554. DOI ↗Said, S. E., & Dickey, D. A. (1984). Testing for unit roots in autoregressive-moving average models of unknown order. Biometrika, 71(3), 599–607. DOI ↗
Denumiri alternativerobust ADF test, HAC-corrected ADF, heteroscedasticity-robust unit root test, GLS-detrended ADFADF test, ADF unit root test, Dickey-Fuller test (augmented), Said-Dickey test
Înrudite65
RezumatThe Robust ADF unit root test extends the classical ADF procedure with improvements that correct for size distortions arising from heteroscedastic or serially correlated errors, and from poor lag-length selection. Drawing on GLS detrending (Elliott, Rothenberg, and Stock 1996) and modified information criteria (Ng and Perron 2001), it delivers reliable size and power in the presence of non-standard error processes common in macroeconomic and financial time series.The Augmented Dickey-Fuller test is the standard procedure for determining whether a univariate time series contains a unit root — that is, whether the series is non-stationary. It extends the original Dickey-Fuller test by including lagged difference terms that absorb serial correlation in the residuals, making the test valid for a wide range of time-series processes encountered in economics and finance.
ScholarGateSet de date
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  2. 2 Surse
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  1. v1
  2. 2 Surse
  3. PUBLISHED

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ScholarGateCompară metode: Robust ADF Unit Root Test · Augmented Dickey-Fuller unit root test. Preluat la 2026-06-17 de pe https://scholargate.app/ro/compare