Credit Scoring vs. Expert Judgment – A Randomized Controlled Trial

Thomas Gietzen ()

No 1709, Working Papers on Finance from University of St. Gallen, School of Finance

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.

Keywords: Credit Scoring; Credit Information Sharing; Credit Bureaus; Loan Officer; Automation (search for similar items in EconPapers)
Pages: 37 pages
Date: 2017-06
New Economics Papers: this item is included in nep-exp
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Persistent link: https://EconPapers.repec.org/RePEc:usg:sfwpfi:2017:09

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