Current research practices include estimation of latent class logits on data collected with discrete choice experiments. This practice relies on a mismatch in the characterization of heterogeneity in preferences: while discrete choice experiments usually assume homogeneity, latent class logits...

This note discusses the application of segmented multinomial logit models (MNL) for the analysis of discrete choice experiments. It is shown how the segmentation can be achieved by relying on the model-based recursive partitioning framework and how it can be carried out in R. The approach is...