The article discusses the Autoregressive Distributed Lag (ARDL) model and its evolution from analyzing autocorrelated trend stationary processes to studying cointegrated non-stationary time series. Recent developments include new versions like asymmetric and nonlinear ARDL models, the quantile ARDL model, pooled mean group dynamic panel data model, and spatio-temporal ARDL model.