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Test KSS sur données de panel×DF-GLS pour données de panel×
DomaineÉconométrieÉconométrie
FamilleRegression modelRegression model
Année d'origine19921996
Auteur d'origineKwiatkowski, Phillips, Schmidt, and Shin (panel version by Hadri)Elliott, Rothenberg, and Stock (adapted to panels)
TypeUnit-root testStationarity test
Source fondatriceKwiatkowski, D., Phillips, P. C., Schmidt, P., & Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root. Journal of Econometrics, 54(1-3), 159-178. DOI ↗Elliott, G., Rothenberg, T. J., & Stock, J. H. (1996). Efficient tests for an autoregressive unit root. Econometric Reviews, 13(4), 469-497. DOI ↗
AliasPanel stationarity testPanel unit-root test
Apparentées33
RésuméThe Panel KSS test reverses the null hypothesis of unit-root tests: it tests whether variables are stationary (stationarity is the null) versus nonstationary (unit root is the alternative). Introduced by Kwiatkowski et al. (1992) and extended to panels by Hadri (2000), this complementary approach provides robustness when combined with unit-root tests like Panel DF-GLS. Using both tests together reduces the risk of erroneous conclusions about variable persistence.Panel DF-GLS extends the Elliott, Rothenberg, and Stock (1996) GLS unit-root test to panel data, combining cross-sectional and time-series information to test whether variables contain unit roots. Introduced by Hadri and colleagues (2005), it is more powerful than standard panel unit-root tests (IPS, LLC) due to its GLS detrending approach. This test is essential for establishing stationarity before fitting cointegration or dynamic panel models.
ScholarGateJeu de données
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  1. v1
  2. 2 Sources
  3. PUBLISHED

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ScholarGateComparer des méthodes: Panel KSS · Panel DF-GLS. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare