On heterogeneous latent class models with applications to the analysis of rating scores

Aurélie Bertrand and Christian Hafner

No 2011-062, SFB 649 Discussion Papers from Humboldt University Berlin, Collaborative Research Center 649: Economic Risk

Abstract: Discovering the preferences and the behaviour of consumers is a key challenge in marketing. Information about such topics can be gathered through surveys in which the respondents must assign a score to a number of items. In this article we suggest a strategy to analyze such data and achieve this objective: it consists in identifying groups of consumers whose response patterns are similar and characterizing them in terms of preferences and covariates. We use latent class models allowing for heterogeneity of both latent class and within-class probabilities across individuals. We illustrate the proposed methodology using data about the preferences of Belgian households for supermarkets.

Keywords: latent class analysis; rating scores; heterogeneity; EM algorithm; marketing (search for similar items in EconPapers)
JEL-codes: C35 C38 C87 M31 (search for similar items in EconPapers)
Date: 2011
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Related works:
Journal Article: On heterogeneous latent class models with applications to the analysis of rating scores (2014)
Working Paper: On heterogeneous latent class models with applications to the analysis of rating scores (2014)
Working Paper: On heterogeneous latent class models with applications to the analysis of rating scores (2011)
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