Arbeitspapier

Consumer credit with over-optimistic borrowers

There is active debate over whether borrowers' cognitive biases create a need for regulation to limit the misuse of credit. To tackle this question, we incorporate overoptimistic borrowers into an incomplete markets model with consumer bankruptcy. Lenders price loans, forming beliefs - type scores - about borrowers' types. Since over-optimistic borrowers face worse income risk but incorrectly believe they are rational, both types behave identically. This gives rise to a tractable theory of type scoring as lenders cannot screen borrower types. Since rationals default less often, the partial pooling of borrowers generates cross-subsidization whereby over-optimists face lower than actuarially fair interest rates. Over-optimists make financial mistakes: they borrow too much and default too late. We calibrate the model to the US and quantitatively evaluate several policies to address these frictions: reducing the cost of default, increasing borrowing costs, imposing debt limits, and providing financial literacy education. While some policies lower debt and filings, they do not reduce overborrowing. Financial literacy education can eliminate financial mistakes, but it also reduces behavioral borrowers' welfare by ending cross-subsidization. Score-dependent borrowing limits can reduce financial mistakes but lower welfare.

Language
Englisch

Bibliographic citation
Series: Bank of Canada Staff Working Paper ; No. 2020-57

Classification
Wirtschaft
Macroeconomics: Consumption; Saving; Wealth
Money and Interest Rates: Other
General Financial Markets: Government Policy and Regulation
Personal Bankruptcy Law
Subject
Credit and credit aggregates
Credit risk management
Financial system regulation and policies

Event
Geistige Schöpfung
(who)
Exler, Florian
Livshits, Igor
MacGee, James
Tertilt, Michele
Event
Veröffentlichung
(who)
Bank of Canada
(where)
Ottawa
(when)
2020

DOI
doi:10.34989/swp-2020-57
Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Exler, Florian
  • Livshits, Igor
  • MacGee, James
  • Tertilt, Michele
  • Bank of Canada

Time of origin

  • 2020

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