Modeling Methods for Discrete Choice Analysis View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

1997-07

AUTHORS

Moshe Ben-Akiva, Daniel Mcfadden, Makoto Abe, Ulf Böckenholt, Denis Bolduc, Dinesh Gopinath, Takayuki Morikawa, Venkatram Ramaswamy, Vithala Rao, David Revelt, Dan Steinberg

ABSTRACT

This 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. More... »

PAGES

273-286

Identifiers

URI

http://scigraph.springernature.com/pub.10.1023/a:1007956429024

DOI

http://dx.doi.org/10.1023/a:1007956429024

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1042147636


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