4.30 Modeling Methods for Discrete Choice Analysis

This paper introduces new forms, sampling and
estimation approaches for discrete choice models. The
new models include behavioral specifications of latent
class choice models, multinomial probit, hybrid logit,
and non-parametric methods. Recent contributions also
include new specialized choice based sample designs
that permit greater efficiency in data collection.
Finally, the paper describes recent developments in
the use of simulation methods for model estimation.
These developments are designed to allow the
applications of discrete choice models to a wider
variety of discrete choice problems.