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, Fusun ; Hajivassiliou, Vassilis ; Koppelman, Frank ; Matzkin, Rosa ; Rossi, Peter ; Ruud, Paul

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Type of publication:	Book / Working Paper
Language:	English
Notes:	Horowitz, Joel and Keane, Michael and Bolduc, Denis and Divakar, Suresh and Geweke, John and Gonul, Fusun and Hajivassiliou, Vassilis and Koppelman, Frank and Matzkin, Rosa and Rossi, Peter and Ruud, Paul (1994): Advances in Random Utility Models. Published in: Marketing Letters , Vol. 5:4, (1994): pp. 311-322.
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:	BASE

Persistent link: https://www.econbiz.de/10015242216