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| 확장된 디키-풀러(ADF) 단위근 검정× | Phillips-Perron 단위근 검정× | |
|---|---|---|
| 분야 | 계량경제학 | 계량경제학 |
| 계열 | Regression model | Regression model |
| 기원 연도≠ | 1979–1984 | 1988 |
| 창시자≠ | Said & Dickey (1984); building on Dickey & Fuller (1979) | Peter C. B. Phillips and Pierre Perron |
| 유형 | Hypothesis test (unit root) | Hypothesis test (unit root) |
| 원전≠ | 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 ↗ | Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. DOI ↗ |
| 별칭 | ADF test, ADF unit root test, Dickey-Fuller test (augmented), Said-Dickey test | PP test, PP unit root test, Phillips-Perron test, nonparametric unit root test |
| 관련 | 5 | 5 |
| 요약≠ | 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. | The Phillips-Perron (PP) test is a nonparametric unit root test for time series that corrects for serial correlation and heteroscedasticity in the error term without adding lagged differences. Introduced by Phillips and Perron (1988), it applies a kernel-based long-run variance estimator to adjust the Dickey-Fuller statistic, making it robust to a wide class of weakly dependent error processes. |
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