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Niet-lineaire PP Eenheidswortel Test×Zivot-Andrews Structuurdoorbraaktest×
VakgebiedEconometrieEconometrie
FamilieRegression modelRegression model
Jaar van ontstaan1988 (base); 2000s (nonlinear extensions)1992
GrondleggerPhillips & Perron (1988); nonlinear extensions by Kapetanios, Shin & Snell (2003) and related authorsEric Zivot and Donald W. K. Andrews
TypeUnit root test with nonlinear adjustmentUnit root test with endogenous structural break
Oorspronkelijke bronPhillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346. DOI ↗Zivot, E., & Andrews, D. W. K. (1992). Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of Business & Economic Statistics, 10(3), 251–270. DOI ↗
AliassenNonlinear PP test, Nonlinear Phillips-Perron test, PP unit root test with nonlinear adjustment, nonlinear PPZA test, Zivot-Andrews unit root test, endogenous structural break unit root test, ZA structural break test
Verwant66
SamenvattingThe Nonlinear Phillips-Perron unit root test extends the classic PP test by allowing the adjustment toward equilibrium to follow a nonlinear path — such as a smooth transition or threshold mechanism — rather than assuming a constant linear speed of adjustment. This makes it more powerful when the true data-generating process involves regime-dependent or asymmetric mean-reversion dynamics.The Zivot-Andrews (ZA) test is a unit root test that endogenously identifies the most likely location of a single structural break in a time series. Unlike the standard ADF test, it does not require the researcher to pre-specify when the break occurred, making it robust to data-driven regime shifts such as policy changes, financial crises, or major economic events.
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ScholarGateMethoden vergelijken: Nonlinear PP unit root test · Zivot-Andrews Structural Break Test. Geraadpleegd op 2026-06-18 via https://scholargate.app/nl/compare