On Rank-Ordered Nested Multinomial Logit Model and D-Optimal Design for this Model
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Abstract:
In contrast to the classical discrete choice experiment, the respondent in a rank-order discrete choice experiment, is asked to rank a number of alternatives instead of the preferred one. In this paper, we study the information matrix of a rank order nested multinomial logit model (RO.NMNL) and introduce local D-optimality criterion, then we obtain Locally D-optimal design for RO.NMNL models in the discrete choice experiment.
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Journal title
volume 7 issue 2
pages 155- 186
publication date 2011-03
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