Credit Building or Credit Crumbling? A Credit Builder Loan’s Effects on Consumer Behavior and Market Efficiency in the United States

Author:

Burke Jeremy1,Jamison Julian2,Karlan Dean3,Mihaly Kata4,Zinman Jonathan5

Affiliation:

1. University of Southern California Center for Economic and Social Research, , USA

2. University of Exeter Business School , UK

3. Northwestern University Kellogg School of Management, , USA

4. RAND Corporation , USA

5. Dartmouth College , USA

Abstract

Abstract A randomized encouragement design yields null average effects of a credit builder loan (CBL) on consumer credit scores. But machine learning algorithms indicate the nulls are due to stark, offsetting treatment effects depending on baseline installment credit activity. Delinquency on preexisting loan obligations drives the negative effects, suggesting that adding a CBL overextends some consumers and generates negative externalities on other lenders. More favorably for the market, CBL take-up generates positive selection on score improvements. Simple changes to CBL practice, particularly to provider screening and credit bureau reporting, could ameliorate the negative effects for consumers and the market. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.

Publisher

Oxford University Press (OUP)

Subject

Economics and Econometrics,Finance,Accounting

Reference40 articles.

1. Multiple inference and gender differences in the effects of early intervention: A reevaluation of the Abecedarian, Perry Preschool, and early training projects;Anderson,;Journal of the American Statistical Association,2008

2. Banks and financial education: integrating practice, products, and partnerships;Askari,;Community Investments,2009

3. Generalized random forests;Athey,;Annals of Statistics,2019

4. Estimating treatment effects with causal forests: An application;Athey,;Observational Studies,2019

5. Deleting a signal: Evidence from pre-employment credit checks;Bartik,,2021

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