Consumer Search and Optimal Information

64 Pages Posted: 10 Jan 2019 Last revised: 26 Oct 2021

See all articles by Mustafa Dogan

Mustafa Dogan

University of East Anglia

Ju Hu

Peking University - National School of Development

Date Written: August 3, 2018

Abstract

This paper studies an information design problem in a sequential consumer search environment. Consumers, whose valuation of firms’ products is uncertain, observe a noisy signal about the valuation upon being matched with a firm. The goal is to characterize those signal structures that maximize consumer surplus. We show that the consumer-optimal signal structure can be found within the class of conditional unit-elastic demand signal distributions. A rich set of properties and comparative statics of the consumer-optimal signal distributions are also derived.

Keywords: consumer search, consumer surplus, information design, signal distribution, unit-elastic demand

JEL Classification: D83, L11, L15

Suggested Citation

Dogan, Mustafa and Hu, Ju, Consumer Search and Optimal Information (August 3, 2018). Available at SSRN: https://ssrn.com/abstract=3308157 or http://dx.doi.org/10.2139/ssrn.3308157

Mustafa Dogan

University of East Anglia ( email )

Earlham Rd
Norwich, NR4 7TJ
United Kingdom
07511847606 (Phone)

Ju Hu (Contact Author)

Peking University - National School of Development ( email )

Beijing, 100871
China

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