Modeling Methods for Discrete Choice Analysisby: Moshe Ben-Akiva, Daniel Mcfadden, Makoto Abe, Ulf Böckenholt, Denis Bolduc, Dinesh Gopinath, Takayuki Morikawa, Venkatram Ramaswamy, Vithala Rao, David Revelt, Dan Steinberg
Marketing Letters, Vol. 8, No. 3. (1 July 1997), pp. 273-286.
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AbstractThis paper introduces new forms, sampling and estimation approaches fordiscrete choice models. The new models include behavioral specifications oflatent class choice models, multinomial probit, hybrid logit, andnon-parametric methods. Recent contributions also include new specializedchoice based sample designs that permit greater efficiency in datacollection. Finally, the paper describes recent developments in the use ofsimulation methods for model estimation. These developments are designed toallow the applications of discrete choice models to a wider variety ofdiscrete choice problems.
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