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Salīdzināt metodes

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ARDL robežu tests (Pesaran robežu tests)×Johansena kointegrācijas tests un Vektora kļūdu korekcijas modelis×
NozareEkonometrijaFinanses
SaimeRegression modelRegression model
Izcelsmes gads20011991
AutorsPesaran, Shin & SmithSøren Johansen
TipsCointegration test / Autoregressive distributed lag modelMultivariate cointegration / vector error correction model
PirmavotsPesaran, 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 ↗Johansen, S. (1991). Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica, 59(6), 1551-1580. DOI ↗
Citi nosaukumiPesaran bounds test, bounds testing approach, ARDL cointegration test, ARDL Sınır Testi (Pesaran Bounds Test)Johansen test, VECM, vector error correction model, multivariate cointegration
Saistītās43
KopsavilkumsThe 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.The Johansen procedure is a multivariate cointegration framework, introduced by Søren Johansen in 1991, that tests for long-run equilibrium relationships among several I(1) time series. It determines how many cointegrating vectors link the series and then builds a Vector Error Correction Model (VECM) to describe the short-run dynamics around that equilibrium.
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ScholarGateSalīdzināt metodes: ARDL Bounds Test · Johansen Cointegration Test. Izgūts 2026-06-18 no https://scholargate.app/lv/compare