FutFinInfo Webinar with Huan Tang (2020-10-28)

Discussion by Christine Parlour Title: The Value of Privacy: Evidence from Online Borrowers Paper: Abstract: This paper studies the value of privacy, for individuals, using data from large-scale field experiments that vary disclosure requirements for loan applicants and loan terms on an online peer-to-peer lending platform in China. I find that loan applicants attach positive value to personal data: Lower disclosure requirements significantly increase the rate at which applications are completed. I quantify the monetary value of personal data—and the welfare effect of various disclosure policies—by developing a structural model that links individuals’ disclosure, borrowing, and repayment decisions. Using detailed application-level data, I estimate that social network ID and employer contact are valued at 230 RMB (i.e., $33, or 70% of the average daily salary in China); for successful borrowers, this accounts for 8%