The authors develop a model to predict consumer selection of product assortment and its relationship to category purchase quantity. Brand and variety choice decisions are modelled with a nested logit. A shopper's vector of choice probabilitiesΓand hence likely assortment selectionΓdirectly depends o
Consumer heterogeneity and the shape of purchase rate functions
β Scribed by Vakratsas, Demetrios
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- English
- Weight
- 103 KB
- Volume
- 14
- Category
- Article
- ISSN
- 8755-0024
No coin nor oath required. For personal study only.
β¦ Synopsis
This study suggests that non-monotonic purchase rates, frequently observed in empirical studies of consumer purchase timing, can be an artifact of consumer heterogeneity. We use a theoretical purchase timing model with consumer heterogeneity to develop market scenarios under which non-monotonic rates may obtain. The results suggest that non-monotonic rates are more likely to observe in product markets that are either highly concentrated or where the heavy buyer segment is large. In such markets, therefore, one should not rely on non-monotonic rate curves to predict household purchase incidence. 1998 John Wiley & Sons, Ltd.
π SIMILAR VOLUMES
This paper investigates the effects of heterogeneity in consumer choice behaviour. Omitted consumer heterogeneity may lead to badly biased results, and wrong inferences concerning marketing strategies to follow. In this research we study the extent and the cause of this bias. We distinguish between
## Abstract In this paper the influence of the shape of the membership functions on the dynamic behaviour of a fuzzy controlled system is investigated. Although several works on fuzzy logic have been presented in the literature, few efforts have been made to characterize the dynamic behaviour of a
## Abstract Mixtures of distributions are usually effectively used for modelling heterogeneity. It is well known that mixtures of DFR distributions are always DFR. On the other hand, mixtures of IFR distributions can decrease, at least in some intervals of time. As IFR distributions often model lif