방법 비교

	평활 구조적 변화가 있는 정상성 검정을 위한 푸리에 KPSS 검정	KPSS 정상성 검정	Panel KPSS 검정 (Hadri 패널 단위근 검정)
분야	계량경제학	계량경제학	계량경제학
계열	Regression model	Regression model	Regression model
기원 연도	2006	1992	2000
창시자	Becker, Enders, and Lee	Kwiatkowski, Phillips, Schmidt & Shin	Hadri (2000), extending Kwiatkowski, Phillips, Schmidt, and Shin (1992)
유형	Stationarity test	Stationarity test (reverse of unit-root tests)	Panel stationarity test
원전	Becker, R., Enders, W., & Lee, J. (2006). A stationarity test in the presence of an unknown number of smooth breaks. Journal of Time Series Analysis, 27(3), 381-409.	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.	Hadri, K. (2000). Testing for stationarity in heterogeneous panel data. Econometrics Journal, 3(2), 148-161.
별칭	Fourier KPSS, flexible Fourier stationarity test, F-KPSS, KPSS with Fourier approximation	Kwiatkowski-Phillips-Schmidt-Shin test, stationarity test, KPSS durağanlık testi	KPSS panel stationarity test, panel stationarity test, Hadri LM test, panel KPSS
관련	3	4	6
요약	The Fourier KPSS test extends the standard KPSS stationarity test by embedding a flexible Fourier series in the deterministic component of the model. This approach captures smooth, gradual structural breaks in the level or trend of a time series without requiring the researcher to specify the number or timing of those breaks, yielding more reliable inference under structural change.	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.	The Panel KPSS test, introduced by Hadri (2000), tests the null hypothesis that all series in a panel are stationary against the alternative that some or all contain a unit root. It extends the univariate KPSS framework to panel data by aggregating individual LM statistics, providing higher power than unit-root tests when most series are in fact stationary.