This paper examines the distribution of preferences in a sample of patients who responded to a
discrete choice experiment on the choice of general practitioner appointments. In addition to standard
logit, mixed and latent class logit models are used to analyse the data from the choice experiment. It
is found that there is significant preference heterogeneity for all the attributes in the experiment and
that both the mixed and latent class models lead to significant improvements in fit compared to the
standard logit model. Moreover, the distribution of preferences implied by the preferred mixed and
latent class models is similar for many attributes
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