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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Testet e rrënjës njësi jo-lineare PP×Testi Zivot-Andrews për Ndërprerje Strukturore×
FushaEkonometriEkonometri
FamiljaRegression modelRegression model
Viti i origjinës1988 (base); 2000s (nonlinear extensions)1992
KrijuesiPhillips & Perron (1988); nonlinear extensions by Kapetanios, Shin & Snell (2003) and related authorsEric Zivot and Donald W. K. Andrews
LlojiUnit root test with nonlinear adjustmentUnit root test with endogenous structural break
Burimi themeluesPhillips, 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 ↗
Emërtime të tjeraNonlinear 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
Të lidhura66
PërmbledhjaThe 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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ScholarGateKrahasoni metodat: Nonlinear PP unit root test · Zivot-Andrews Structural Break Test. Marrë më 2026-06-18 nga https://scholargate.app/sq/compare