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样品(材料)
集合(抽象数据类型)
质量(理念)
经济
计量经济模型
营销
计量经济学
业务
广告
微观经济学
计算机科学
哲学
化学
认识论
色谱法
程序设计语言
作者
Nitin Mehta,Surendra Rajiv,Kannan Srinivasan
出处
期刊:Marketing Science
[Institute for Operations Research and the Management Sciences]
日期:2003-02-01
卷期号:22 (1): 58-84
被引量:376
标识
DOI:10.1287/mksc.22.1.58.12849
摘要
We offer an econometric framework that models consumer's consideration set formation as an outcome of her costly information search behavior. Because frequently purchased products are characterized by frequent price promotions of varying depths of discounts, a consumer faces significant uncertainty about the prices of the brands. The consumers engage in a fixed-sample search strategy that results in their discovering the posted prices of a subset of the available brands. This subset is referred to as the consumer's “consideration set.” The proposed model is estimated using the scanner data set for liquid detergents. Our key empirical results are: (i) consumers zincur significant search costs to discover the posted prices of the brands; (ii) whereas in-store displays and feature ads do not influence consumers' quality perceptions of the brands, they significantly reduce search costs for observing the prices of the brands; (iii) per capita income of consumer's household significantly increases her search costs; and (iv) the consumers' price sensitivity is seriously underestimated if we were to assume that consumers get to know all the posted prices at zero cost. The proposed model is also estimated for the ketchup category to enable us to do cross-category comparisons of consumers' price search behavior
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