Digital Verification and Inclusive Access to Credit: An Empirical Investigation

Autor: Naser Hamdi, Xiang Hui, Tat Y. Chan, Zhenling Jiang
Rok vydání: 2020
Předmět:
Zdroj: SSRN Electronic Journal.
ISSN: 1556-5068
DOI: 10.2139/ssrn.3556554
Popis: What is the value of verified employment data in consumer lending? We study this question using a data set covering all employment verification inquiries to Equifax. Using a difference-in-differences approach, we analyze the changes in applicants’ loan outcomes after their employers join Equifax’s digital verification system, which provides lenders with an efficient way of accessing the (employer-) verified employment data in auto loan applications. We find that the availability of digitally verified data significantly expands credit access: the loan origination rate increases by 35.5% on average, and is more significant among deep subprime (137%) and subprime consumers(46%). The interest rates charged on these loans only rise slightly. The expanded credit access also benefits lenders, with an estimated 19.2% increase in profit. This is because the benefit of the market expansion effect dominates the cost of a higher delinquency risk among the expanded loan portfolio. Our results suggest that, besides seeking new data sources, managers and policymakers should also consider ways to extract more value from existing data. The economic benefit of doing so can be sizable without additional privacy concerns perceived by the consumers.
Databáze: OpenAIRE