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Test de cointégration ARDL à paramètres variables dans le temps×Test des bornes ARDL (Test des bornes de Pesaran)×
DomaineÉconométrieÉconométrie
FamilleRegression modelRegression model
Année d'origine2010s2001
Auteur d'origineExtension of Pesaran, Shin & Smith (2001); TVP variant developed in applied time-series literature ca. 2010sPesaran, Shin & Smith
TypeCointegration / bounds test with time-varying coefficientsCointegration test / Autoregressive distributed lag model
Source fondatricePesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326. DOI ↗Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds Testing Approaches to the Analysis of Level Relationships. Journal of Applied Econometrics, 16(3), 289–326. DOI ↗
AliasTVP-ARDL bounds test, time-varying ARDL cointegration, TVP bounds testing approach, dynamic ARDL bounds testPesaran bounds test, bounds testing approach, ARDL cointegration test, ARDL Sınır Testi (Pesaran Bounds Test)
Apparentées24
RésuméThe time-varying parameter ARDL bounds test extends the classic Pesaran-Shin-Smith (2001) bounds testing framework by allowing regression coefficients to evolve continuously over time. It detects whether a long-run cointegrating relationship between variables exists and whether that relationship has been stable or shifting across the sample period.The ARDL bounds test is an autoregressive distributed lag method that tests for a cointegrating (long-run level) relationship between time series, introduced by Pesaran, Shin and Smith in 2001. Unlike the Johansen procedure, it remains valid whether the variables are I(0), I(1) or a mix of the two, and it is more reliable than Johansen in small samples of roughly 30 to 80 observations.
ScholarGateJeu de données
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ScholarGateComparer des méthodes: Time-varying parameter ARDL bounds test · ARDL Bounds Test. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare