Asymmetric Information, Reputation, and Welfare in Online Credit Markets

49 Pages Posted: 13 May 2020 Last revised: 3 Aug 2020

See all articles by Yi Xin

Yi Xin

California Institute of Technology

Date Written: August 1, 2020

Abstract

This paper studies the welfare impact of reputation/feedback systems in markets where both adverse selection and moral hazard are present. Using a transaction-level dataset from an online credit market, I estimate a dynamic model of borrowers and lenders, in which borrowers are subject to reputational incentives. I quantify the welfare loss from adverse selection and moral hazard separately and find that 78 percent of overall inefficiency is induced by moral hazard. When the reputation system is implemented, I find that 95 percent of total welfare loss from asymmetric information is eliminated. I also consider a policy intervention that protects borrowers from accidental loss of reputation. My results suggest that introducing a payment protection insurance into the market further improves total welfare.

Keywords: asymmetric information, reputation/feedback systems, credit markets

JEL Classification: L14, D82, G21, C14

Suggested Citation

Xin, Yi, Asymmetric Information, Reputation, and Welfare in Online Credit Markets (August 1, 2020). Available at SSRN: https://ssrn.com/abstract=3580468 or http://dx.doi.org/10.2139/ssrn.3580468

Yi Xin (Contact Author)

California Institute of Technology ( email )

Pasadena, CA 91125
United States

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
190
Abstract Views
725
rank
197,911
PlumX Metrics