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Assessing the efficacy of a South African microlender's loan screening mechanism

Author

Listed:
  • Kuhn, M.E.
  • Darroch, Mark A.G.
  • Ortmann, Gerald F.

Abstract

Bivariate probit analysis was used to assess the efficacy of a South African microlender’s loan screening process. This micro-lender grants short-term cash loans to individuals who are employed and earning a fixed salary. Loan applicants with more stable incomes, who are contactable via telephone or post, who are employed in less risky business sectors, who have more disposable income relative to debt, and who have had a good credit history with other lenders, are more likely to be accepted. None of the factors with a significant effect on the loan screening decision could explain subsequent loan default by accepted applicants. The microlender may have screened out very risky clients and accepted a riskier, profitable pool of loan applicants with risk being controlled through effective monitoring. This is important where tangible collateral is unavailable and where the risk must be acceptable to commercial lenders wanting to link up with profitable micro-lenders.

Suggested Citation

  • Kuhn, M.E. & Darroch, Mark A.G. & Ortmann, Gerald F., 2000. "Assessing the efficacy of a South African microlender's loan screening mechanism," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 39(4), December.
  • Handle: RePEc:ags:agreko:54229
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    References listed on IDEAS

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    1. Meng, Chun-Lo & Schmidt, Peter, 1985. "On the Cost of Partial Observability in the Bivariate Probit Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 26(1), pages 71-85, February.
    2. Mark Schreiner, 2001. "A Scoring Model of the Risk of Costly Arrears at a Microfinance Lender in Bolivia," Development and Comp Systems 0109005, EconWPA.
    3. Boyes, William J. & Hoffman, Dennis L. & Low, Stuart A., 1989. "An econometric analysis of the bank credit scoring problem," Journal of Econometrics, Elsevier, vol. 40(1), pages 3-14, January.
    4. Jacobson, Tor & Roszbach, Kasper, 2003. "Bank lending policy, credit scoring and value-at-risk," Journal of Banking & Finance, Elsevier, vol. 27(4), pages 615-633, April.
    5. Hoff, Karla & Stiglitz, Joseph E, 1990. "Imperfect Information and Rural Credit Markets--Puzzles and Policy Perspectives," World Bank Economic Review, World Bank Group, vol. 4(3), pages 235-250, September.
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    Keywords

    Financial Economics;

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