I am new to time series regression. I am trying to understand the effect of differencing the time-dependent data before applying regression analysis.
I tried fitting lots of regression models but in all those cases the model assumptions are violated and show a high autocorrelation.
I was told that interpretation of the model is extremely hard when differencing is applied. But my objective is to determine the variable importance; therefore I want to understand whether applying differencing has an effect on variable importance.
What other methods can I use to understand variable importance in time series variable?