Activity Number:
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134
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Type:
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Invited
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Date/Time:
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Monday, August 12, 2002 : 2:00 PM to 3:50 PM
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Sponsor:
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Business & Economics Statistics Section*
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Abstract - #300281 |
Title:
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Modeling Socially Dependent Preferences
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Author(s):
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Greg Allenby*+ and Sha Yang
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Affiliation(s):
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Ohio State University and Ohio State University
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Address:
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2100 Neil Avenue, M. M. Fisher College of Business, Colombus, Ohio, 43210, USA
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Keywords:
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MCMC ; MCMC ; dependent random effects ; dependent random effects
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Abstract:
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Individuals derive benefit from consuming product offerings that are consumed by their peers. Social aspects of choice can be driven by many factors, ranging from social identification and inclusion to the benefits of network externalities. We introduce a Bayesian autoregressive discrete choice model to study the preference inter-dependence among individual consumers. The autoregressive specification can reflect patterns of heterogeneity where social benefits propagate within and across networks that cannot be modeled with standard random-effect specifications. The model is illustrated with data on automobile purchases, where preferences for Japanese-made cars are shown to be related to geographic and socially defined networks.
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