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Conjoint Analysis Using Mixed Effect Models

By Sylvia Frühwirth-Schnatter and Thomas Otter


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)Series: Forschungsberichte / Institut für Statisti

Topics: Conjoint Analysis / Gibbs Sampling / Linear Mixed Effect Models / MCMC Methods
Publisher: Department of Statistics and Mathematics, WU Vienna University of Economics and Business
Year: 1999
OAI identifier: oai:epub.wu-wien.ac.at:epub-wu-01_a3b

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