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Psychometrics as a Tool to Improve Credit Information

Author

Listed:
  • Irani Arráiz
  • Miriam Bruhn
  • Rodolfo Stucchi

Abstract

This paper studies the use of psychometric tests, designed by the Entrepreneurial Finance Lab (EFL), as a tool to screen out high credit risk and potentially increase access to credit for small business owners in Peru. We compare repayment behavior patterns across entrepreneurs who were offered a loan based on the traditional credit-scoring method versus the EFL tool. We find that the psychometric test can lower the risk of the loan portfolio when used as a secondary screening mechanism for already banked entrepreneurs—that is, those with a credit history. The EFL tool can also allow lenders to offer credit to some unbanked entrepreneurs—that is, those without a credit history—who were rejected based on their traditional credit scores, without increasing the risk of the portfolio.

Suggested Citation

  • Irani Arráiz & Miriam Bruhn & Rodolfo Stucchi, 2017. "Psychometrics as a Tool to Improve Credit Information," The World Bank Economic Review, World Bank, vol. 30(Supplemen), pages 67-76.
    • Handle: RePEc:oup:wbecrv:v:30:y:2017:i:supplement_1:p:s67-s76.
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    File URL: http://hdl.handle.net/10.1093/wber/lhw016
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    Citations

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    Cited by:

    1. Hyunwoo Woo & So Young Sohn, 2022. "A credit scoring model based on the Myers–Briggs type indicator in online peer-to-peer lending," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-19, December.
    2. Marius Leckelt & Johannes König & David Richter & Mitja D. Back & Carsten Schröder, 2022. "The personality traits of self-made and inherited millionaires," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-12, December.
    3. Arráiz, Irani & Bruhn, Miriam & Roth, Benjamin N. & Ruiz-Ortega, Claudia & Stucchi, Rodolfo, 2021. "Borrower leakage from costly screening: Evidence from SME lending in Peru," Journal of Development Economics, Elsevier, vol. 153(C).
    4. Daniel Bjorkegren & Darrell Grissen, 2017. "Behavior Revealed in Mobile Phone Usage Predicts Loan Repayment," Papers 1712.05840, arXiv.org, revised Dec 2019.

    More about this item

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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