Recent developments of the autoregressive distributed lag modelling framework
Jin Seo Cho (),
Matthew Greenwood‐Nimmo and
Yongcheol Shin
Journal of Economic Surveys, 2023, vol. 37, issue 1, 7-32
Abstract:
We review the literature on the autoregressive distributed lag (ARDL) model, from its origins in the analysis of autocorrelated trend stationary processes to its subsequent applications in the analysis of cointegrated non‐stationary time series. We then survey several recent extensions of the ARDL model, including asymmetric and non‐linear generalisations of the ARDL model, the quantile ARDL model, the pooled mean group dynamic panel data model and the spatio‐temporal ARDL model.
Date: 2023
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https://doi.org/10.1111/joes.12450
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Working Paper: Recent Developments of the Autoregressive Distributed Lag Modelling Framework (2021) 
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Persistent link: https://EconPapers.repec.org/RePEc:bla:jecsur:v:37:y:2023:i:1:p:7-32
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