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Advances in random utility models report of the workshop on advances in random utility models duke invitational symposium on choice modeling behavior
Authors:Joel L. Horowitz  Denis Bolduc  Suresh Divakar  John Geweke  Füsun Gönül  Vassilis Hajivassiliou  Frank S. Koppelman  Michael Keane  Rosa Matzkin  Peter Rossi  Paul Ruud
Affiliation:(1) University of Iowa, USA;(2) Université Laval, Canada;(3) State University of New York at Buffalo, USA;(4) University of Minnesota, USA;(5) Carnegie Mellon University, USA;(6) Yale University, USA;(7) Northwestern University, USA;(8) University of Chicago, USA;(9) University of California, Berkeley
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.
Keywords:multinomial probit  semiparametric estimation  Bayesian estimation  simulation
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