ScholarGate
Asistent

Porovnat metody

Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.

Panelový test jednotkové odmocniny Phillips-Perron×Phillipsův-Perronův test jednotkového kořene×
OborEkonometrieEkonometrie
RodinaRegression modelRegression model
Rok vzniku1988 (original PP); panel adaptation widely established by 20031988
TvůrcePhillips & Perron (1988); panel extension by Im, Pesaran & Shin (2003)Peter C. B. Phillips and Pierre Perron
TypNonparametric unit root testHypothesis test (unit root)
Původní zdrojIm, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53-74. DOI ↗Phillips, P. C. B., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. DOI ↗
Další názvyPanel PP test, Phillips-Perron panel unit root, Im-Pesaran-Shin PP panel test, panel nonparametric unit root testPP test, PP unit root test, Phillips-Perron test, nonparametric unit root test
Příbuzné65
ShrnutíThe Panel PP unit root test extends the nonparametric Phillips-Perron correction for serial correlation to a multi-individual panel setting. It tests the null hypothesis that all cross-sectional units contain a unit root, using a pooled or averaged PP-type statistic that is robust to heteroscedastic and serially correlated errors without requiring explicit lag selection.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.
ScholarGateDatová sada
  1. v1
  2. 2 Zdroje
  3. PUBLISHED
  1. v1
  2. 2 Zdroje
  3. PUBLISHED

Přejít na hledání Stáhnout prezentaci

ScholarGatePorovnat metody: Panel PP unit root test · Phillips-Perron unit root test. Získáno 2026-06-17 z https://scholargate.app/cs/compare