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Conjoint Analysis Using Mixed Effect Models

Frühwirth-Schnatter, Sylvia and Otter, Thomas (1999) Conjoint Analysis Using Mixed Effect Models. Forschungsberichte / Institut für Statistik, 65. Department of Statistics and Mathematics, WU Vienna University of Economics and Business, Vienna.

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Abstract

Following the pioneering work of Allenby and Ginter (1995) and Lenk et al.(1994); we propose in Section 2 a mixed effect model allowing for fixed and random effects as possible statistical solution to the problems mentioned above. Parameter estimation using a new, efficient variant of a Markov Chain Monte Carlo method will be discussed in Section 3 together with problems of model comparison techniques in the context of random effect models. Section 4 presents an application of the former to a brand-price trade-off study from the Austrian mineral water market. (author's abstract)

Item Type: Paper
Additional Information: published in: Friedl, H., Berghold, A. and Kauermann, G. (Eds.): Statistical Modelling. Proceedings of the 14th International Workshop on Statistical Modelling. Graz 1999, pp. 181-191
Keywords: Conjoint Analysis / Gibbs Sampling / Linear Mixed Effect Models / MCMC Methods
Divisions: Departments > Finance, Accounting and Statistics > Statistics and Mathematics
Depositing User: Repository Administrator
Date Deposited: 12 Jul 2006 07:27
Last Modified: 14 Sep 2010 21:13
URI: http://epub.wu.ac.at/id/eprint/806

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