방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 푸리에 Zivot-Andrews 단위근 검정× | Phillips-Perron 단위근 검정× | |
|---|---|---|
| 분야 | 계량경제학 | 계량경제학 |
| 계열 | Regression model | Regression model |
| 기원 연도≠ | 2012 | 1988 |
| 창시자≠ | Enders & Lee (2012), extending Zivot & Andrews (1992) | Peter C. B. Phillips and Pierre Perron |
| 유형≠ | Unit root test with smooth structural break | Hypothesis test (unit root) |
| 원전≠ | Enders, W., & Lee, J. (2012). A unit root test using a Fourier series to approximate smooth breaks. Oxford Bulletin of Economics and Statistics, 74(4), 574-599. DOI ↗ | Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. DOI ↗ |
| 별칭 | Fourier ZA test, FZA unit root test, Fourier structural break unit root test, smooth structural break ADF test | PP test, PP unit root test, Phillips-Perron test, nonparametric unit root test |
| 관련≠ | 6 | 5 |
| 요약≠ | The Fourier Zivot-Andrews test extends the classic Zivot-Andrews (1992) unit root test by replacing sharp, single structural break dummies with a low-frequency Fourier approximation, allowing the test to accommodate smooth, gradual, and multiple unknown breaks in the level or trend of a series. | 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. |
| ScholarGate데이터셋 ↗ |
|
|