Allowing for intra-respondent variations in coecients estimated on stated preference data

The vast majority of discrete choice modelling applications are now estimated on Stated Preference (SP) data, including but not limited to the eld of transport research. In SP data, each respondent is faced with multiple choice situations, and recognising this repeated choice nature of the data is a crucial modelling issue. With the increasing popularity of the Mixed Multinomial Logit (MMNL) model, most applications now rely exclusively on a random coecients approach in dealing with this issue. Here in turn, the assumption is generally made that tastes vary across respondents, but not across observations for the same respondent. In this paper, we question this assumption and show that it is important to also allow for variation in the marginal utility coecients across replications for the same respondent.

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