Models of multi-category choice behavior

被引：71
|
作者：
Seetharaman, PB
Chib, S
Ainslie, A
Boatwright, P
Chan, T
Gupta, S
Mehta, N
Rao, V
Strijnev, A
机构：
[1] Rice Univ, Houston, TX 77252 USA
[2] Washington Univ, St Louis, MO USA
[3] Univ Calif Los Angeles, Los Angeles, CA 90024 USA
[4] Carnegie Mellon Univ, Pittsburgh, PA 15213 USA
[5] Cornell Univ, Ithaca, NY 14853 USA
[6] Univ Toronto, Toronto, ON, Canada
[7] Univ Texas Dallas, Dallas, TX 75230 USA
来源：
MARKETING LETTERS | 2005年 / 16卷 / 3-4期
关键词：
multi-category; multivariate choices; basket data; Bayesian estimation;
D O I：
10.1007/s11002-005-5888-y
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
Given the advent of basket-level purchasing data of households, choice modelers are actively engaged in the development of statistical and econometric models of multi-category choice behavior of households. This paper reviews current developments in this area of research, discussing the modeling methodologies that have been used, the empirical findings that have emerged so far, and directions for future research. We also motivate the use of Bayesian methods to overcome the computational challenges involved in estimation.
引用
收藏
页码：239 / 254
页数：16
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