I have a dataset that it is clearly need a multilevel model approach -observations from different regions-. However, I am not interesting in population parameters of regions, but overall parameters for covariates and intercept.
Is applying multilevel model in the described case worth doing? I know that if I acount for inner class correlations, I would have more realistic variance estimates...