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Test augmentovanej Dickey-Fullerovej (ADF) na jednotkovú odmocninu×Kointegračný test Engle-Granger×
OdborEkonometriaEkonometria
RodinaRegression modelRegression model
Rok vzniku1979–19841987
TvorcaSaid & Dickey (1984); building on Dickey & Fuller (1979)Robert F. Engle and Clive W. J. Granger
TypHypothesis test (unit root)Cointegration test
Pôvodný zdrojSaid, S. E., & Dickey, D. A. (1984). Testing for unit roots in autoregressive-moving average models of unknown order. Biometrika, 71(3), 599–607. DOI ↗Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗
Ďalšie názvyADF test, ADF unit root test, Dickey-Fuller test (augmented), Said-Dickey testEG cointegration test, Engle-Granger two-step method, residual-based cointegration test, EG test
Príbuzné55
ZhrnutieThe 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.The Engle-Granger two-step method tests whether two or more non-stationary I(1) time series share a common stochastic trend — that is, whether a linear combination of them is stationary. If cointegration is confirmed, an error-correction model (ECM) can be estimated to capture both short-run dynamics and long-run equilibrium adjustment.
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ScholarGatePorovnať metódy: Augmented Dickey-Fuller unit root test · Engle-Granger Cointegration Test. Získané 2026-06-18 z https://scholargate.app/sk/compare