Heiss, Florian - In: Stata Journal 2 (2002) 3, pp. 227-252
The nested logit model has become an important tool for the empirical analysis of discrete outcomes. There is some … compares both and Þnds that one of them (called random utility maximization nested logit, RUMNL) is preferable in most … situations. Since the command nlogit of Stata 7.0 implements the other variant (called non-normalized nested logit, NNNL), an …