ScholarGate
Msaidizi

Linganisha mbinu

Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.

Kipimo cha Zivot-Andrews cha Mapumziko ya Kiunzi×Kipimo cha Phillips-Perron cha Mizizi ya Muungano×
NyanjaEkonometrikiEkonometriki
FamiliaRegression modelRegression model
Mwaka wa asili19921988
MwanzilishiEric Zivot and Donald W. K. AndrewsPeter C. B. Phillips and Pierre Perron
AinaUnit root test with endogenous structural breakHypothesis test (unit root)
Chanzo asiliaZivot, 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 ↗Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. DOI ↗
Majina mbadalaZA test, Zivot-Andrews unit root test, endogenous structural break unit root test, ZA structural break testPP test, PP unit root test, Phillips-Perron test, nonparametric unit root test
Zinazohusiana65
MuhtasariThe 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.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.
ScholarGateSeti ya data
  1. v1
  2. 2 Vyanzo
  3. PUBLISHED
  1. v1
  2. 2 Vyanzo
  3. PUBLISHED

Nenda kwenye utafutaji Pakua slaidi

ScholarGateLinganisha mbinu: Zivot-Andrews Structural Break Test · Phillips-Perron unit root test. Imepatikana 2026-06-17 kutoka https://scholargate.app/sw/compare