09-37
Optimal Design for Discrete Choice Experiments
by Graßhoff, U.; Großmann, H.; Holling, H.; Schwabe, R.
Preprint series: 09-37, Preprints
- MSC:
- 62K05 Optimal designs
- 62P25 Applications to social sciences
- 62J12 Generalized linear models
Abstract: In this paper we derive locally optimal designs for discrete choice experiments. As in Kanninen (2002) we consider a multinomial logistic model, which contains various ualitative attributes as well as a quantitative one, which may range over a sufficiently large region. The derived optimal designs improve upon those given in the literature, but have the feature that every choice set contains alternatives, which coincide in all but the quantitative attributes. The multinomial logistic model may then lead to an unrealistic response behavior, if the quantitative attribute is described by a price variable.
Keywords: conjoint analysis, discrete choice experiment, multinomial logistic model, locally optimal design
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