Screening with Cash Deposits in Digital Credit Markets

29 Pages Posted: 9 Apr 2026

See all articles by Paul Gertler

Paul Gertler

University of California, Berkeley; National Bureau of Economic Research (NBER)

Brett Green

Washington University in St. Louis - John M. Olin Business School

Catherine Wolfram

Massachusetts Institute of Technology (MIT) - Sloan School of Management; National Bureau of Economic Research (NBER)

Date Written: March 18, 2026

Abstract

We study a loan contract that requires borrowers to make a temporary cash deposit prior to disbursement, which is fully refunded and does not alter repayment incentives. In a randomized controlled trial with a digital lender, applicants are offered otherwise identical loans with or without a deposit. The deposit requirement reduces loan take-up but substantially improves repayment and lender profitability. The results indicate that deposits screen borrowers on both observable and unobservable characteristics. Higher-risk borrowers are less likely to take up deposit loans, and among borrowers with the same observable risk profile, those who accept deposit loans repay at higher rates, with the largest differences among low-risk borrowers. These findings show that simple contract features can complement data-driven credit models by adding an additional screening margin.

Suggested Citation

Gertler, Paul and Green, Brett and Wolfram, Catherine, Screening with Cash Deposits in Digital Credit Markets (March 18, 2026). Available at SSRN: https://ssrn.com/abstract=6439659 or http://dx.doi.org/10.2139/ssrn.6439659

Paul Gertler

University of California, Berkeley ( email )

CA
United States

National Bureau of Economic Research (NBER) ( email )

Brett Green (Contact Author)

Washington University in St. Louis - John M. Olin Business School ( email )

One Brookings Drive
Campus Box 1133
St. Louis, MO 63130-4899
United States

Catherine Wolfram

Massachusetts Institute of Technology (MIT) - Sloan School of Management ( email )

100 Main Street
E62-416
Cambridge, MA 02142
United States

National Bureau of Economic Research (NBER)

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

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