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

  • Jeremy Burke (Creator)
  • Julian Jamison (Creator)
  • Kata Mihaly (Creator)
  • Jonathan Zinman (Creator)
  • Dean Karlan (Creator)

Dataset

Description

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.
Date made available2023
PublisherHarvard Dataverse

Cite this