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강건한 KPSS 정상성 검정×증강된 Dickey-Fuller (ADF) 단위근 검정×KPSS 정상성 검정×
분야계량경제학계량경제학계량경제학
계열Regression modelRegression modelRegression model
기원 연도1992–200419791992
창시자Extension building on Kwiatkowski, Phillips, Schmidt & Shin (1992); robust variants developed by Hobijn, Franses & Ooms and othersDavid A. Dickey & Wayne A. FullerKwiatkowski, Phillips, Schmidt & Shin
유형Hypothesis testUnit-root test for stationarityStationarity test (reverse of unit-root tests)
원전Kwiatkowski, D., Phillips, P. C. B., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root. Journal of Econometrics, 54(1-3), 159-178. DOI ↗Dickey, 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 ↗Kwiatkowski, D., Phillips, P. C. B., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root. Journal of Econometrics, 54(1–3), 159–178. DOI ↗
별칭Robust KPSS, outlier-robust stationarity test, robust LM stationarity test, KPSS with robustness correctionADF test, Dickey-Fuller test, unit root test, Genişletilmiş Dickey-Fuller testiKwiatkowski-Phillips-Schmidt-Shin test, stationarity test, KPSS durağanlık testi
관련244
요약The Robust KPSS test is an extension of the classical Kwiatkowski-Phillips-Schmidt-Shin (1992) stationarity test that replaces the conventional long-run variance estimator with an outlier-robust or heteroscedasticity-robust counterpart, maintaining reliable size and power in the presence of contaminated observations, structural breaks, or non-standard error distributions.The 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 KPSS test, introduced by Kwiatkowski, Phillips, Schmidt and Shin in 1992, tests the null hypothesis that a series is stationary against the alternative that it contains a unit root — the reverse of the ADF and Phillips-Perron tests. By flipping the burden of proof, it is designed to be used alongside unit-root tests so that the two can confirm one another and expose ambiguous, borderline cases.
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