Heterogeneity in consumer preference data —A combined approach

Abstract

The paper will provide an overview of the problem of heterogeneity in consumer data and various ways of coping with it analytically. It will present a new model that combines latent class regression analysis with random coefficient regression models together with principal components regression. Finally, the model approach is illustrated, using a data set on consumer evaluations of frozen peas.