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ऑग्मेंटेड डिकी-फुलर (एडीएफ) यूनिट-रूट टेस्ट×पेसारन सीडी टेस्ट: पैनल डेटा के लिए क्रॉस-सेक्शनल डिपेंडेंस डायग्नोस्टिक×
क्षेत्रअर्थमितिअर्थमिति
परिवारRegression modelHypothesis test
उद्भव वर्ष19792021
प्रवर्तकDavid A. Dickey & Wayne A. FullerM. Hashem Pesaran
प्रकारUnit-root test for stationarityNon-parametric diagnostic test
मौलिक स्रोतDickey, 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 ↗
उपनामADF test, Dickey-Fuller test, unit root test, Genişletilmiş Dickey-Fuller testiCD Test, Cross-Sectional Dependence Test, Pesaran General CD Test, Kesitsel Bağımlılık Testi
संबंधित43
सारांशThe 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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