Buying reputation as a signal of quality: Evidence from an online marketplace
Lingfang Li,
Steven Tadelis and
Xiaolan Zhou
RAND Journal of Economics, 2020, vol. 51, issue 4, 965-988
Abstract:
Seller reputation, generated by buyer feedback, is critical to fostering trust in online marketplaces. Marketplaces or sellers may choose to compensate buyers for providing feedback. Signaling theory predicts that only sellers of high‐quality products will reward buyers for truthful feedback, especially when a product lacks any feedback and when the seller is not established. We confirm these hypotheses using Taobao's reward‐for‐feedback mechanism. High‐quality products, especially without established feedback, are chosen for feedback rewards, which cause sales to increase by 36%. Marketplaces and consumers can therefore benefit from allowing sellers to buy feedback and signal their high‐quality products in the process.
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)
Downloads: (external link)
https://doi.org/10.1111/1756-2171.12346
Related works:
Working Paper: Buying Reputation as a Signal of Quality: Evidence from an Online Marketplace (2016) 
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:51:y:2020:i:4:p:965-988
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 ().