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Activity Number: 237
Type: Topic Contributed
Date/Time: Tuesday, July 31, 2007 : 8:30 AM to 10:20 AM
Sponsor: Section on Bayesian Statistical Science
Abstract - #309717
Title: A Model of State Dependence Based on Auto- and Cross-Correlated Exponential Processes with an Application to Household Panel Data
Author(s): Xiuyun Zhang*+ and Thomas Otter and Mario Peruggia
Companies: The Ohio State University and The Ohio State University and The Ohio State University
Address: 641 Stark CT, Columbus, OH, 43210,
Keywords: state dependence ; brand choice ; purchase timing ; point process model ; auto-correlation ; cross-correlation
Abstract:

We use an epidemic-type point process model to describe state-dependence, i.e. the impact of past purchases on future purchases, in a novel way. We look at household panel data that records purchase timing, quantity and brand purchased as well as marketing mix variables such as price and promotional activity for one product category. Brand choice and purchase timing are jointly dependent variables conditional on past purchases, purchase quantity, and marketing mix variables. In our model the baseline rate is expressed as a function of time-varying marketing mix variables (price, display and feature) and is brand specific. We consider both the impact of past purchases of the same brand (auto-correlated effect) and of past purchases of other brands (cross-correlated effect) on future brand choice and purchase timing. Inference is based on MCMC techniques.


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Revised September, 2007