Published January 23, 2025 | Version v1
Journal article Open

Behavioral nudges prevent loan delinquencies at scale: A 13-million-person field experiment

  • 1. University of Pennsylvania
  • 2. The Urban Institute
  • 3. University of Virginia
  • 4. University of Kentucky
  • 5. American University
  • 6. University of Chicago

Description

Americans collectively hold over $1.6 trillion in student loan debt, and over the last decade millions of borrowers have defaulted on loans, with serious consequences for their financial health. In a 13-million-person field experiment with the U.S. Department of Education, we tested the effectiveness of different email interventions to inform borrowers about alternative repayment options after a missed loan payment. Our interventions tested whether sending monthly behaviorally-informed emails, providing follow-up reminders, framing benefits in percentage (vs. dollar) terms, and providing just one recommended action step at a time (vs. two) affected borrower outcomes. We find that i) behaviorally-informed emails reduce estimated 60-d delinquencies by 0.42 pp, ii) reminders boost the efficacy of such emails by 0.57 pp, iii) describing potential savings in percentage terms is more effective than describing these benefits in dollar terms, reducing estimated delinquencies by 0.14 pp, and iv) encouraging two actions (i.e., enrollment in income-driven repayment plans and auto debit programs) repeatedly across two emails is marginally more effective than encouraging one action at-a-time across two emails, reducing estimated delinquencies by 0.05 pp. Overall, if scaled to all 13-million borrowers in our experiment, we estimate that our best-performing intervention would have averted approximately 79,800 60-d delinquencies. Our findings i) highlight the benefits of describing potential savings in percentage terms, which may magnify perceived savings for recipients, ii) underscore the risks of oversimplification, and iii) demonstrate that nudges can be an effective, low-cost complement to other policies for reducing delinquencies and supporting borrowers with student loan debt.

Data availability

The data analyzed in this paper were provided by the Department of Education. We cannot publicly post individual-level data on student debt or repayment decisions that we received from the Department of Education because it is protected financial data owned by the U.S. Government. Government data containing individual-level financial information is not made publicly available to protect privacy (as even if the data are de-identified, it is still possible to re-identify people from de-identified data). However, data and code used in this paper will be maintained by the Office of the Chief Economist in consideration of potential replication requests. Katherine L. Milkman and Benjamin L. Castleman should be contacted by interested researchers to facilitate requests for data sharing via the Office of the Chief Economist.

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Additional details

Identifiers

DOI
10.1073/pnas.2416708122
Other
oai:uchicago.tind.io:14444

UChicago Information

Division(s)
Harris School of Public Policy Studies
Department(s)
Harris School of Public Policy Studies Research Publications