Before revision:  We find that both MNR and Gen-MNR deliver significantly better in-sample fit and out-of-sample predictive accuracy than MNP. Gen-MNR outperforms MNR due to its more flexible kernel error distribution. Also, Gen-MNR gives more reasonable elasticity estimates than MNP and MNR , in particular regarding the demand for under-represented alternatives in a class-imbalanced dataset .
After revision:  We find that both MNR and Gen-MNR deliver significantly better in-sample fit and out-of-sample predictive accuracy than MNP. Gen-MNR outperforms MNR due to its more flexible kernel error distributions underlying MNR and Gen-MNR gives more reasonable elasticity estimates than MNP and MNR , in particular regarding the demand for under-represented alternatives in a class-imbalanced dataset .