Measuring heterogeneous reservation prices for product bundles

被引:82
作者
Jedidi, K [1 ]
Jagpal, S
Manchanda, P
机构
[1] Columbia Univ, Grad Sch Business, New York, NY 10027 USA
[2] Rutgers State Univ, Rutgers Business Sch, Newark, NJ 07102 USA
[3] Univ Chicago, Grad Sch Business, Chicago, IL 60637 USA
关键词
bundling; reservation prices; optimal pricing; consumer heterogeneity; multinomial probit models; conjoint analysis; Bayesian models;
D O I
10.1287/mksc.22.1.107.12850
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper develops a model for capturing continuous heterogeneity in the joint distribution of reservation prices for products and bundles. Our model is derived from utility theory and captures both within- and among-subject variability. Furthermore, it provides dollarmetric reservation prices and individual-level estimates that allow the firm to target customers and develop customized and nonlinear pricing policies. Our experiments show that, regardless of whether the products are durables or nondurables, the model captures heterogeneity and predicts well. Models that assume homogeneity perform poorly, especially in predicting choice of the bundle. Furthermore, the methodology is robust even when respondents evaluate few profiles. Self-stated reservation prices do not have any informational content beyond that contained in the basic model. The direct elicitation method appears to understate (overstate) the variation in reservation prices across consumers for low-priced (high-priced) products and bundles. Hence this method yields biased demand estimates and leads to suboptimal product-line pricing policy. The optimization results show that the product-line pricing policy depends on the degree of heterogeneity in the reservation prices of the individual products and the bundle. A uniformly high-price strategy for all products and bundles is optimal when heterogeneity is high. Otherwise, a hybrid strategy is optimal.
引用
收藏
页码:107 / 130
页数:24
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