Advances in Random Utility Models

Joel Horowitz, Michael Keane (m.keane@unsw.edu.au), Denis Bolduc, Suresh Divakar, John Geweke, Fosun Gonul, Vassilis Hajivassiliou, Frank Koppelman, Rosa Matzkin, Peter Rossi (perossichi@gmail.com) and Paul Ruud

MPRA Paper from University Library of Munich, Germany

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 stimation. This paper summarizes these developments and discusses their implications for practice.

Keywords: multinomial probit; semiparametric estimation; Bayesian estimation; simulation (search for similar items in EconPapers)
JEL-codes: C11 C14 C15 C25 C35 M31 (search for similar items in EconPapers)
Date: 1994
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:53026

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