Consumer search and optimal information
Mustafa Dogan and
Ju Hu
RAND Journal of Economics, 2022, vol. 53, issue 2, 386-403
Abstract:
This article 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.
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
https://doi.org/10.1111/1756-2171.12411
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bla:randje:v:53:y:2022:i:2:p:386-403
Ordering information: This journal article can be ordered from
http://www.blackwell ... al.asp?ref=0741-6261
Access Statistics for this article
RAND Journal of Economics is currently edited by James Hosek
More articles in RAND Journal of Economics from RAND Corporation Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().