Autoregressive Distributed Lag (ARDL) Model

An Autoregressive Distributed Lag (ARDL) model is a statistical tool used to analyze the relationship between a dependent variable and multiple independent variables over time. It considers the current and past values of these variables, capturing both short-term dynamics and long-term trends. The "autoregressive" part means it uses past values of the variable itself, while "distributed lag" indicates it includes lagged values of other variables. This model helps researchers understand how variables influence each other over time and is flexible in situations where data series are of different lengths or have different statistical properties.