Advances in Random Utility Models

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.

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Year of publication:	1994
Authors:	Horowitz, Joel ; Keane, Michael ; Bolduc, Denis ; Divakar, Suresh ; Geweke, John ; Gonul, Fosun ; Hajivassiliou, Vassilis ; Koppelman, Frank ; Matzkin, Rosa ; Rossi, Peter ; Ruud, Paul
Institutions:	Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München
Subject:	multinomial probit \| semiparametric estimation \| Bayesian estimation \| simulation

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Extent:	application/pdf
Series:	MPRA Paper.
Type of publication:	Book / Working Paper
Classification:	C11 - Bayesian Analysis ; C14 - Semiparametric and Nonparametric Methods ; C15 - Statistical Simulation Methods; Monte Carlo Methods ; C25 - Discrete Regression and Qualitative Choice Models ; C35 - Discrete Regression and Qualitative Choice Models ; M31 - Marketing
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10011109965