ScholarGate
Asistents

Salīdzināt metodes

Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.

Panel KPSS tests (Hadri panelitātes tests)×Paneļa Filipsa-Perona vienības saknes tests×
NozareEkonometrijaEkonometrija
SaimeRegression modelRegression model
Izcelsmes gads20001988 (original PP); panel adaptation widely established by 2003
AutorsHadri (2000), extending Kwiatkowski, Phillips, Schmidt, and Shin (1992)Phillips & Perron (1988); panel extension by Im, Pesaran & Shin (2003)
TipsPanel stationarity testNonparametric unit root test
PirmavotsHadri, K. (2000). Testing for stationarity in heterogeneous panel data. Econometrics Journal, 3(2), 148-161. DOI ↗Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53-74. DOI ↗
Citi nosaukumiKPSS panel stationarity test, panel stationarity test, Hadri LM test, panel KPSSPanel PP test, Phillips-Perron panel unit root, Im-Pesaran-Shin PP panel test, panel nonparametric unit root test
Saistītās66
KopsavilkumsThe Panel KPSS test, introduced by Hadri (2000), tests the null hypothesis that all series in a panel are stationary against the alternative that some or all contain a unit root. It extends the univariate KPSS framework to panel data by aggregating individual LM statistics, providing higher power than unit-root tests when most series are in fact stationary.The 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.
ScholarGateDatu kopa
  1. v1
  2. 2 Avoti
  3. PUBLISHED
  1. v1
  2. 2 Avoti
  3. PUBLISHED

Doties uz meklēšanu Lejupielādēt slaidus

ScholarGateSalīdzināt metodes: Panel KPSS test · Panel PP unit root test. Izgūts 2026-06-17 no https://scholargate.app/lv/compare