Lagged variables

Lagged variables are past values of a data point used to analyze how previous conditions influence current outcomes. For example, in economics, the current unemployment rate might be affected by the unemployment rate from months earlier. Including lagged variables in a model helps identify such relationships, revealing patterns over time. They are useful in understanding trends and making predictions based on historical data, capturing the inertia or delayed effects within a system without assuming immediate impacts.