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The Value of Verified Employment Data for Consumer Lending: Evidence from Equifax

Author

Listed:
  • Tat Chan

    (Washington University, St. Louis, Missouri 63130)

  • Naser Hamdi

    (Equifax Inc, St. Louis, Missouri 63146)

  • Xiang Hui

    (Washington University, St. Louis, Missouri 63130)

  • Zhenling Jiang

    (University of Pennsylvania, Philadelphia, Pennsylvania 19104)

Abstract
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. Holding the employment status constant, 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 (146%) and subprime consumers (44%). The interest rates charged on these loans rise only slightly. The expanded credit access also benefits lenders, with an estimated 19.6% 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 policy makers should also consider ways to extract more value from existing data.

Suggested Citation

  • Tat Chan & Naser Hamdi & Xiang Hui & Zhenling Jiang, 2022. "The Value of Verified Employment Data for Consumer Lending: Evidence from Equifax," Marketing Science, INFORMS, vol. 41(4), pages 795-814, July.
    • Handle: RePEc:inm:ormksc:v:41:y:2022:i:4:p:795-814
    DOI: 10.1287/mksc.2021.1335
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    Cited by:

    1. Xinlong Li & Andrew T. Ching, 2024. "How Does a Firm Adapt in a Changing World? The Case of Prosper Marketplace," Marketing Science, INFORMS, vol. 43(3), pages 673-693, May.

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