The effects of policy interventions to limit illegal money lending

Kaiwen Leong, Huailu Li, Nicola Pavanini, Christoph Walsh

Research output: Contribution to journalArticleScientificpeer-review

Abstract

We estimate a structural model of borrowing and lending in the illegal money lending market using a unique panel survey of 1,090 borrowers taking out 11,032 loans from loan sharks. We use the model to evaluate the effects of interventions aimed at limiting this market. We find that an enforcement crackdown that occurred during our sample period increased lenders’ unit cost of harassment and interest rates, while lowering volume of loans, lender profits and borrower welfare. Policies removing borrowers in the middle of the repayment ability distribution, reducing gambling or reducing time discounting are also effective at lowering lender profitability.
Original languageEnglish
Article number103894
Number of pages21
JournalJournal of Financial Economics
Volume159
DOIs
Publication statusPublished - Sept 2024

Keywords

  • Illegal money lending
  • Loan sharks
  • Law enforcement
  • Crime
  • Structural estimation

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