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Credit Scoring vs. Expert Judgment – A Randomized Controlled Trial

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  • Gietzen, Thomas

Abstract

Developing financial markets experience a swift increase in the availability of borrower-information from credit information sharing systems. I study whether banks can use this information to automate credit decisions. In the wake of a randomized controlled trial, a bank in Africa introduced an automated credit decision-process based on a credit scoring technology at half of its branches, while the other half kept applying an extensive screening procedure as a base for a loan officer's expert judgment. Results show that the quality of the loan Portfolio in the treatment branches did not decrease significantly, at the cost of rejecting only a 6 percentage points higher share of applications, using a much simpler procedure. An analysis of the costs and benefits of the credit scoring system strongly suggests that the bank's cost of lending decreased substantially.

Suggested Citation

  • Gietzen, Thomas, 2017. "Credit Scoring vs. Expert Judgment – A Randomized Controlled Trial," Working Papers on Finance 1709, University of St. Gallen, School of Finance.
    • Handle: RePEc:usg:sfwpfi:2017:09
    as

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    File URL: http://ux-tauri.unisg.ch/RePEc/usg/sfwpfi/WPF-1709.pdf
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    References listed on IDEAS

    as
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    Keywords

    Credit Scoring; Credit Information Sharing; Credit Bureaus; Loan Officer; Automation;
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