Hruschka, Harald (2013) Comparing Small- and Large-Scale Models of Multicategory Buying Behavior. JOURNAL OF FORECASTING, 32 (5). pp. 423-434. ISSN 0277-6693,
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Focusing on the interdependence of product categories we analyze multicategory buying decisions of households by a finite mixture of multivariate Tobit-2 models with two response variables: purchase incidence and expenditure. Mixture components can be interpreted as household segments. Correlations for purchases of different categories turn out to be much more important than correlations among expenditures as well as correlations among purchases and expenditures of different categories. About 18% of all pairwise purchase correlations are significant. We compare the best-performing large-scale model with 28 categories to four small-scale models each with seven categories. In our empirical study the large-scale model clearly attains a better forecasting performance. The small-scale models provide several biased correlations and miss about 50% of the significant correlations which the large scale model detects. Copyright (c) 2013 John Wiley & Sons, Ltd.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | MULTIVARIATE; HOUSEHOLDS; DECISIONS; DISCRETE; multicategory buying decisions; cross-category dependences; Tobit model; finite mixture; Markov chain Monte Carlo estimation |
| Subjects: | 600 Technology > 650 Management & auxiliary services |
| Divisions: | Business, Economics and Information Systems > Institut für Betriebswirtschaftslehre > Lehrstuhl für Marketing (Prof. Dr. Harald Hruschka) |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 06 Apr 2020 10:30 |
| Last Modified: | 06 Apr 2020 10:30 |
| URI: | https://pred.uni-regensburg.de/id/eprint/16327 |
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