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Робастный тест на единичный корень расширенного теста Дики-Фуллера×Нелинейный тест на единичный корень ADF (тест KSS)×
ОбластьЭконометрикаЭконометрика
СемействоRegression modelRegression model
Год появления1996-20012003
Автор методаNg and Perron (2001); Elliott, Rothenberg, and Stock (1996)Kapetanios, Shin, and Snell
ТипUnit root / stationarity testNonlinear unit root test
Основополагающий источникNg, 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 ↗Kapetanios, G., Shin, Y., & Snell, A. (2003). Testing for a unit root in the nonlinear STAR framework. Journal of Econometrics, 112(2), 359-379. DOI ↗
Другие названияrobust ADF test, HAC-corrected ADF, heteroscedasticity-robust unit root test, GLS-detrended ADFKSS test, nonlinear unit root test, ESTAR unit root test, Kapetanios-Shin-Snell test
Связанные66
СводкаThe 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 Nonlinear ADF unit root test, most prominently operationalized by Kapetanios, Shin, and Snell (2003), extends the classical Augmented Dickey-Fuller test to detect mean reversion that occurs via an Exponential Smooth Transition Autoregressive (ESTAR) process. It tests the null of a unit root against a nonlinear stationary alternative, capturing adjustment dynamics that the standard linear ADF test misses.
ScholarGateНабор данных
  1. v1
  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 2 Источники
  3. PUBLISHED

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ScholarGateСравнение методов: Robust ADF Unit Root Test · Nonlinear ADF Unit Root Test. Получено 2026-06-17 из https://scholargate.app/ru/compare