D-optimal conjoint choice designs with no-choice options for a nested logit model

Peter Goos (), Bart Vermeulen and Martina Vandebroek

Working Papers from University of Antwerp, Faculty of Business and Economics

Abstract: Despite the fact that many conjoint choice experiments offer respondents a no-choice option in every choice set, the optimal design of conjoint choice experiments involving no-choice options has received only a limited amount of attention in the literature. In this article, we present an approach to construct D-optimal designs for this type of experiment. For that purpose, we derive the information matrix of a nested multinomial logit model that is appropriate for analyzing data from choice experiments with no-choice options. The newly derived information matrix is compared to the information matrix for the multinomial logit model that is used in the literature to construct designs for choice experiments. It is also used to quantify the loss of information in a choice experiment due to the presence of a no-choice option.

Keywords: Choice-based conjoint; Information loss; Multinomial logit model; Nested logit model; No-choice option (search for similar items in EconPapers)
Pages: 22 pages
Date: 2008-12
New Economics Papers: this item is included in nep-dcm and nep-ecm
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:ant:wpaper:2008020

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