Regression modelEconometrics / time series

Robust ARDL Bounds Test for Cointegration

The 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.

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Sources

  1. Sam, C. Y., McNown, R., & Goh, S. K. (2019). An augmented autoregressive distributed lag bounds test for cointegration. Economic Modelling, 80, 130-141. DOI: 10.1016/j.econmod.2018.11.003
  2. 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: 10.1002/jae.616

Related methods

ScholarGateRobust ARDL bounds test (Robust Autoregressive Distributed Lag Bounds Test). Retrieved 2026-06-04 from https://scholargate.app/tr/econometrics/robust-ardl-bounds-test