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Robust ARDL Bounds Test for Cointegration×Johansens kointegrationstest og vektorfejlkorrektionsmodel×
FagområdeØkonometriFinansiering
FamilieRegression modelRegression model
Oprindelsesår20191991
OphavspersonSam, McNown & GohSøren Johansen
TypeCointegration testMultivariate cointegration / vector error correction model
Oprindelig kildeSam, C. Y., McNown, R., & Goh, S. K. (2019). An augmented autoregressive distributed lag bounds test for cointegration. Economic Modelling, 80, 130-141. DOI ↗Johansen, S. (1991). Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica, 59(6), 1551-1580. DOI ↗
AliasserRobust ARDL, Robust bounds testing approach, Sam-McNown-Goh bounds test, Bootstrap ARDL bounds testJohansen test, VECM, vector error correction model, multivariate cointegration
Relaterede33
ResuméThe Robust ARDL bounds test is an augmented version of the Pesaran-Shin-Smith (2001) ARDL bounds testing approach that resolves its two key weaknesses: size distortion under mixed integration orders and the degenerate-case problem. It introduces three separate test statistics — an overall F-test and two new Wald statistics for the dependent and independent variables — evaluated against bootstrap-generated critical values.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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ScholarGateSammenlign metoder: Robust ARDL bounds test · Johansen Cointegration Test. Hentet 2026-06-18 fra https://scholargate.app/da/compare