Advances in random utility models report of the workshop on advances in random utility models duke invitational symposium on choice modeling behavior

Joel L. Horowitz*, Denis Bolduc, Suresh Divakar, John Geweke, Füsun Gönül, Vassilis Hajivassiliou, Frank S. Koppelman, Michael Keane, Rosa Matzkin, Peter Rossi, Paul Ruud

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

In recent years, major advances have taken place in three areas of random utility modeling: (1) semiparametric estimation, (2) computational methods for multinomial probit models, and (3) computational methods for Bayesian estimation. This paper summarizes these developments and discusses their implications for practice.

Original languageEnglish (US)
Pages (from-to)311-322
Number of pages12
JournalMarketing Letters
Volume5
Issue number4
DOIs
StatePublished - Oct 1 1994

Keywords

  • Bayesian estimation
  • multinomial probit
  • semiparametric estimation
  • simulation

ASJC Scopus subject areas

  • Business and International Management
  • Economics and Econometrics
  • Marketing

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