Advances in Random Utility Models
Joel Horowitz,
Michael Keane (),
Denis Bolduc,
Suresh Divakar,
John Geweke,
Fosun Gonul,
Vassilis Hajivassiliou,
Frank Koppelman,
Rosa Matzkin,
Peter Rossi () 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)
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/53026/1/MPRA_paper_53026.pdf original version (application/pdf)
https://mpra.ub.uni-muenchen.de/55497/1/MPRA_paper_53026.pdf revised version (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:53026
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().