In this paper, we extend the standard discrete choice modelling framework by allowing for random variation in the substitution patterns between alternatives across respondents, leading to increased model flexibility. The paper shows how such a Mixed Covariance model can be specified either with purely random variation or with a mixture between random and deterministic variation. Additionally, t...

We describe the properties of (t,m, s)-nets and Halton draws. Four types of (t,m, s)-nets, two types of Halton draws, and independent draws are compared in an application of maximum simulated likelihood estimation of a mixed logit model. All of the quasi-random procedures are found to perform far better than independent draws. The best performance is attained by one of the (t,m, s)-nets. The pr...

We show that a large class of discrete choice models which contain the Markov chain model introduced by Blanchet, Gallego, and Goyal (2013) belong to the class of discrete choice models based on random utility. © 2016 Elsevier B.V. All rights reserved.