Abstract
A method is derived for estimating a discrete choice model incorporating heteroscedasticities to reflect repeated measurement problems. Heterogeneity of each observation is characterised by a specific scale function and individual heterogeneity is introduced in the random utility choice model. This research proves that the unobserved influences affecting a specific individual's mode choice are correlated from one of his or her selections to the next repeated questions. This research also suggests strong evidence of learning effect, implying variances would decrease as the responder faces repeated questions.
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