Recent developments of the autoregressive distributed lag modelling framework

C-Tier
Journal: Journal of Economic Surveys
Year: 2023
Volume: 37
Issue: 1
Pages: 7-32

Authors (3)

Jin Seo Cho (not in RePEc) Matthew Greenwood‐Nimmo (not in RePEc) Yongcheol Shin (University of York)

Score contribution per author:

0.335 = (α=2.01 / 3 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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.

Technical Details

RePEc Handle
repec:bla:jecsur:v:37:y:2023:i:1:p:7-32
Journal Field
General
Author Count
3
Added to Database
2026-01-25