Hruschka, Harald and Fettes, Werner and Probst, Markus (2004) Market segmentation by maximum likelihood clustering using choice elasticities. European Journal of Operational Research 15 (3), pp. 779-786.
Full text not available from this repository.
We determine market segments by clustering households on the basis of their average choice elasticities across purchases and brands w.r.t. price, sales promotion and brand loyalty. The cluster analysis technique used is a maximum likelihood method which allows varying size and orientation and assumes constant volume. Elasticities originate from choice models with alternatively linear and nonlinear utility functions. Choice models are estimated on the basis of household scanner data. Segments are interpreted by means of multiple discriminant analysis and multinomial logit models whose predictors are elasticities of predictors and external variables (i.e. number of purchases, number of brands bought, income and household size), respectively.
|Institutions:||Business, Economics and Information Systems > Institut für Betriebswirtschaftslehre > Lehrstuhl für Marketing (Prof. Dr. Harald Hruschka)|
|Keywords:||Marketing; Market segmentation; Cluster analysis; Choice models|
|Subjects:||300 Social sciences > 330 Economics|
|Created at the University of Regensburg:||Unknown|
|Deposited On:||18 Dec 2008 13:25|
|Last Modified:||05 Aug 2009 15:50|
- ASCII Citation
- Dublin Core
- HTML Citation
- OAI-ORE Resource Map (Atom Format)
- OAI-ORE Resource Map (RDF Format)
- Reference Manager
- Simple Metadata
Literature of the same author
at publisher (via DOI)