So sánh phương pháp

	Kiểm định nghiệm đơn vị (Unit-Root Test) Augmented Dickey-Fuller (ADF)	Kiểm định nghiệm đơn vị Lumsdaine-Papell với hai điểm phá vỡ cấu trúc
Lĩnh vực	Kinh tế lượng	Kinh tế lượng
Họ	Regression model	Hypothesis test
Năm ra đời	1979	1997
Người khởi xướng	David A. Dickey & Wayne A. Fuller	Robin Lumsdaine & David Papell
Loại	Unit-root test for stationarity	Sequential two-break unit-root test
Công trình gốc	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.	Lumsdaine, R. L., & Papell, D. H. (1997). Multiple trend breaks and the unit-root hypothesis. Review of Economics and Statistics, 79(2), 212–218.
Tên gọi khác	ADF test, Dickey-Fuller test, unit root test, Genişletilmiş Dickey-Fuller testi	LP Test, Two-Break Unit-Root Test, Double Structural Break Unit-Root Test, Lumsdaine-Papell İki Kırılmalı Birim Kök Testi
Liên quan	4	3
Tóm tắt	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 Lumsdaine-Papell test, introduced by Robin Lumsdaine and David Papell in 1997, extends the Zivot-Andrews single-break unit-root test to allow for two simultaneous structural breaks in the intercept and/or linear trend of a time series. It is widely used in macroeconomics and finance when data are suspected to have experienced two major regime shifts — such as policy changes, financial crises, or wars — and the researcher needs to determine whether the series is nonetheless integrated of order one.