I cannot find anywhere in internet for this really simple question so I have to ask here.
We know that applying regularization on norm of X you need to consider the standard deviation of your variables and properly normalize them to 1 if you don't want it to affect the penalty you apply to your dataset. I am curious about in statsmodel when I use pyhon elastic net or ridge/lasso, is this automatically handled? Also when I do panel regression with mixed effect model, are the variables also variance deflated properly within each group. E.g. you have a country pnale data with population and GDP growht data. When using statsmodel package, is 1. the GDP and Population are both standardized before fitting 2. the population/gdp among different country also standardized before fitting?