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Panel Zivot-Andrews test×Расширенный тест Дики-Фуллера (ADF) на единичный корень×
ОбластьЭконометрикаЭконометрика
СемействоRegression modelRegression model
Год появления1992 (panel extension: 2000s)1979–1984
Автор методаZivot & Andrews (1992); extended to panel settings by subsequent literatureSaid & Dickey (1984); building on Dickey & Fuller (1979)
ТипUnit root test with endogenous structural breakHypothesis test (unit root)
Основополагающий источникZivot, E., & Andrews, D. W. K. (1992). Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of Business & Economic Statistics, 10(3), 251–270. 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 ↗
Другие названияpanel ZA test, panel structural break unit root test, Zivot-Andrews panel unit root test, panel endogenous break unit root testADF test, ADF unit root test, Dickey-Fuller test (augmented), Said-Dickey test
Связанные65
СводкаThe Panel Zivot-Andrews test extends the single-series Zivot-Andrews (1992) structural break unit root test to panel data, allowing each cross-sectional unit to have its own endogenously determined break date. It tests the null of a unit root against the alternative of stationarity with a one-time structural break, accounting for regime shifts that bias standard panel unit root tests toward false non-rejection.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.
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  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 2 Источники
  3. PUBLISHED

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ScholarGateСравнение методов: Panel Zivot-Andrews test · Augmented Dickey-Fuller unit root test. Получено 2026-06-18 из https://scholargate.app/ru/compare