ScholarGate
Assistent

Sammenlign metoder

Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.

Panel ADF-enhetsrot-test×Panel Phillips-Perron enhetsrot-test×
FagfeltØkonometriØkonometri
FamilieRegression modelRegression model
Opprinnelsesår2002–20031988 (original PP); panel adaptation widely established by 2003
OpphavspersonIm, Pesaran & Shin (2003); Levin, Lin & Chu (2002)Phillips & Perron (1988); panel extension by Im, Pesaran & Shin (2003)
TypeUnit root / stationarity testNonparametric unit root test
Opprinnelig kildeIm, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics, 115(1), 53–74. 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 ↗
AliasPanel ADF test, IPS test, Im-Pesaran-Shin test, panel unit root testPanel PP test, Phillips-Perron panel unit root, Im-Pesaran-Shin PP panel test, panel nonparametric unit root test
Relaterte66
SammendragThe Panel Augmented Dickey-Fuller (Panel ADF) unit root test extends the classical ADF framework to panel datasets. By pooling information across cross-sectional units it achieves substantially higher power than single-series ADF tests, allowing researchers to determine whether time-series variables are stationary or integrated of order one before modelling long-run relationships.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.
ScholarGateDatasett
  1. v1
  2. 2 Kilder
  3. PUBLISHED
  1. v1
  2. 2 Kilder
  3. PUBLISHED

Gå til søk Last ned lysbilder

ScholarGateSammenlign metoder: Panel ADF Unit Root Test · Panel PP unit root test. Hentet 2026-06-17 fra https://scholargate.app/no/compare