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Salīdzināt metodes

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Paneļa Zivot-Andrews strukturālās izmaiņas vienības saknes tests×Paneļa Engla-Grāndžera kointegrācijas tests×
NozareEkonometrijaEkonometrija
SaimeRegression modelRegression model
Izcelsmes gads1992 (panel extension: 2000s)1999
AutorsZivot & Andrews (1992); extended to panel settings by subsequent literaturePedroni (1999), extending Engle & Granger (1987)
TipsUnit root test with endogenous structural breakCointegration test
PirmavotsZivot, 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 ↗Pedroni, P. (1999). Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxford Bulletin of Economics and Statistics, 61(S1), 653-670. DOI ↗
Citi nosaukumipanel ZA test, panel structural break unit root test, Zivot-Andrews panel unit root test, panel endogenous break unit root testpanel cointegration test, panel EG cointegration, Pedroni cointegration test, residual-based panel cointegration
Saistītās65
KopsavilkumsThe Panel Zivot-Andrews test extends the single-series Zivot-Andrews (1992) structural break unit root test to panel data, allowing each cross-sectional unit to have its own endogenously determined break date. It tests the null of a unit root against the alternative of stationarity with a one-time structural break, accounting for regime shifts that bias standard panel unit root tests toward false non-rejection.The Panel Engle-Granger cointegration test extends the classic two-step Engle-Granger procedure to panel data, allowing researchers to detect long-run equilibrium relationships among integrated variables across multiple cross-sectional units simultaneously. Pedroni (1999) developed panel statistics that pool information across units while allowing heterogeneous short-run dynamics and individual-specific intercepts and trends.
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ScholarGateSalīdzināt metodes: Panel Zivot-Andrews test · Panel Engle-Granger Cointegration. Izgūts 2026-06-19 no https://scholargate.app/lv/compare