Sequential estimation of a nested logit model is in general not an empirically desirable procedure, either as an alternative to full information maximum likelihood (FIML) estimation or as a source of ...

Applications of random-parameter logit models can be found in various disciplines. These models have non-concave simulated likelihood functions and the choice of starting values is therefore crucial ...