dynamic regression models
Dynamic regression models refer to a statistical technique that involves modeling the relationship between a dependent variable and one or more independent variables over time, while accounting for the dynamic nature of the data by incorporating lagged values of the variables. These models allow for the analysis of how the relationship between the variables evolves and changes over time.
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