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A Monte Carlo study of design-generating algorithms for the latent class mixed logit model

Falke, Andreas and Hruschka, Harald (2017) A Monte Carlo study of design-generating algorithms for the latent class mixed logit model. OR Spectrum 39 (4), pp. 1035-1053.

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Other URL: http://doi.org/10.1007/s00291-017-0483-1


Abstract

We compare different procedures which generate DB-efficient designs for choice-based conjoint analysis using the latent class mixed logit model which captures latent consumer heterogeneity in a flexible way. These procedures are the Coordinate-Exchange algorithm, the Relabel-Swap-Cycle algorithm, and the remaining six combinations of the individual components of the latter. Halton draws and a ...

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Item type:Article
Date:2017
Institutions:Business, Economics and Information Systems > Institut für Betriebswirtschaftslehre > Lehrstuhl für Marketing (Prof. Dr. Harald Hruschka)
Identification Number:
ValueType
10.1007/s00291-017-0483-1DOI
Keywords:CHOICE EXPERIMENTS; NONMARKET VALUATION; CONJOINT-ANALYSIS; HETEROGENEITY; Latent class mixed logit model; Economics; Heterogeneity; Estimation accuracy; D-optimality
Dewey Decimal Classification:300 Social sciences > 330 Economics
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:39745
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