信息购物:消费者学习对最优定价和产品设计的启示*

IF 1.7 4区 经济学 Q3 BUSINESS, FINANCE Journal of Industrial Economics Pub Date : 2023-09-01 DOI:10.1111/joie.12333
Marilyn Pease
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引用次数: 0

摘要

我研究了一个卖家定价问题,即消费者在购买前对产品价值进行昂贵的研究。他们在对价值足够乐观时购买产品,在足够悲观时停止研究。我发现,当卖家之前对价值的信心很高时,他会鼓励进行产品研究,即使他可以立即卖出高价。先验既影响预期价值,也影响附加信息如何改变消费者的信念。我证明了研究成本的增加对均衡价格的影响是非单调的。最后,当卖方选择价格和产品价值分散时,最优分散水平不必是极值。
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Shopping for Information: Implications of Consumer Learning for Optimal Pricing and Product Design*

I study a seller's pricing problem where consumers perform costly product research about value before purchase. They buy the product when sufficiently optimistic about value and cease research when sufficiently pessimistic. I find that the seller encourages product research when prior belief about value is high, even though he could sell immediately for a high price. The prior affects both expected value and how additional information changes consumers' beliefs. I show that an increase in research cost affects equilibrium price nonmonotonically. Finally, when the seller chooses price and product value dispersion, the optimal level of dispersion need not be extremal.

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来源期刊
CiteScore
1.60
自引率
0.00%
发文量
27
期刊介绍: First published in 1952, the Journal of Industrial Economics has a wide international circulation and is recognised as a leading journal in the field. It was founded to promote the analysis of modern industry, particularly the behaviour of firms and the functioning of markets. Contributions are welcomed in all areas of industrial economics including: - organization of industry - applied oligopoly theory - product differentiation and technical change - theory of the firm and internal organization - regulation - monopoly - merger and technology policy Necessarily, these subjects will often draw on adjacent areas such as international economics, labour economics and law.
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Issue Information Correction to “Estimating Consumer Inertia in Repeated Choices of Smartphones” Issue Information Issue Information Coupling Information Disclosure with a Quality Standard in R&D Contests*
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