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Buying Reputation as a Signal of Quality: Evidence from an Online Marketplace
Author(s) -
Lingfang Li,
Steven Tadelis,
Xiaolan Zhou
Publication year - 2016
Publication title -
economics of networks ejournal
Language(s) - English
Resource type - Reports
DOI - 10.3386/w22584
Subject(s) - reputation , quality (philosophy) , business , advertising , signal (programming language) , marketing , internet privacy , computer science , political science , law , physics , programming language , quantum mechanics
Reputation is critical to foster trust in online marketplaces, yet leaving feedback is a public good that can be under-provided unless buyers are rewarded for it. Signaling theory implies that only high quality sellers would reward buyers for truthful feedback. We explore this scope for signaling using Taobao's "reward-for-feedback" mechanism and find that items with rewards generate sales that are nearly 30% higher and are sold by higher quality sellers. The market design implication is that marketplaces can benefit from allowing sellers to use rewards to build reputations and signal their high quality in the process.

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