IDEAS home Printed from https://ideas.repec.org/a/ags/agreko/54229.html
   My bibliography  Save this article

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), pages 1-9, December.
  • Handle: RePEc:ags:agreko:54229
    DOI: 10.22004/ag.econ.54229
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/54229/files/24%20_12_%20Kuhn_%20Darroch%20_%20Ortmann%20Dec%202000.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.54229?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Hoff, Karla & Stiglitz, Joseph E, 1990. "Imperfect Information and Rural Credit Markets--Puzzles and Policy Perspectives," The World Bank Economic Review, World Bank, vol. 4(3), pages 235-250, September.
    3. 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.
    4. Mark Schreiner, 2001. "A Scoring Model of the Risk of Costly Arrears at a Microfinance Lender in Bolivia," Development and Comp Systems 0109005, University Library of Munich, Germany.
    5. Chaves, Rodrigo A. & Gonzalez-Vega, Claudio, 1996. "The design of successful rural financial intermediaries: Evidence from Indonesia," World Development, Elsevier, vol. 24(1), pages 65-78, January.
    6. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Y Kim & S Y Sohn, 2007. "Technology scoring model considering rejected applicants and effect of reject inference," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(10), pages 1341-1347, October.
    2. Mocetti, Sauro & Viviano, Eliana, 2017. "Looking behind mortgage delinquencies," Journal of Banking & Finance, Elsevier, vol. 75(C), pages 53-63.
    3. Tuan, Tran Huu & Navrud, Stale, 2009. "Applying the dissonance-minimising format to value cultural heritage in developing countries," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(3), pages 1-17.
    4. Vogelgesang, Ulrike, 2003. "Microfinance in Times of Crisis: The Effects of Competition, Rising Indebtedness, and Economic Crisis on Repayment Behavior," World Development, Elsevier, vol. 31(12), pages 2085-2114, December.
    5. Kuhn, M.E. & Darroch, Mark A.G. & Ortmann, Gerald F. & Graham, Douglas H., 2000. "Improving the provision of financial services to micro-entrepreneurs, emerging farmers and agribusiness: Lessons from Kwazulu-Natal," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 39(1), pages 1-14, March.
    6. Marshall, Andrew & Tang, Leilei & Milne, Alistair, 2010. "Variable reduction, sample selection bias and bank retail credit scoring," Journal of Empirical Finance, Elsevier, vol. 17(3), pages 501-512, June.
    7. Thi Thu Tra Pham & Robert Lensink, 2008. "Household Borrowing in Vietnam," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 7(3), pages 237-261, December.
    8. Kasper Roszbach, 2004. "Bank Lending Policy, Credit Scoring, and the Survival of Loans," The Review of Economics and Statistics, MIT Press, vol. 86(4), pages 946-958, November.
    9. Filiz Garip, 2012. "An Integrated Analysis of Migration and Remittances: Modeling Migration as a Mechanism for Selection," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 31(5), pages 637-663, October.
    10. González-Cabán, Armando & Loomis, John B. & Rodriguez, Andrea & Hesseln, Hayley, 2007. "A comparison of CVM survey response rates, protests and willingness-to-pay of Native Americans and general population for fuels reduction policies," Journal of Forest Economics, Elsevier, vol. 13(1), pages 49-71, May.
    11. Creamer, Selmin F. & Blatner, Keith A. & Butler, Brett J., 2012. "Certification of family forests: What influences owners’ awareness and participation?," Journal of Forest Economics, Elsevier, vol. 18(2), pages 131-144.
    12. Maksym Obrizan, 2011. "A Bayesian Model of Sample Selection with a Discrete Outcome Variable: Detecting Depression in Older Adults," Discussion Papers 41, Kyiv School of Economics.
    13. Ananish Chaudhuri & Pushkar Maitra, 1997. "Determinants of Land Tenure Contracts; Theory and Evidence from Rural India," Departmental Working Papers 199710, Rutgers University, Department of Economics.
    14. Cummins, Mark & Mac an Bhaird, Ciarán & Rosati, Pierangleo & Lynn, Theo, 2020. "Institutional investment in online business lending markets," International Review of Financial Analysis, Elsevier, vol. 71(C).
    15. He, Senhui & Fletcher, Stanley M. & Rimal, Arbindra, 2004. "Acceptance Of Irradiated Beef And Its Effect On Beef Consumption," Journal of Food Distribution Research, Food Distribution Research Society, vol. 35(1), pages 1-6, March.
    16. Galema, Rients, 2020. "Credit rationing in P2P lending to SMEs: Do lender-borrower relationships matter?," Journal of Corporate Finance, Elsevier, vol. 65(C).
    17. Tao, Hung-Lin & Huang, Chin-Hsiang, 2006. "Two-step on-the-job search--Evidence from Taiwan," Journal of Asian Economics, Elsevier, vol. 17(6), pages 1014-1029, December.
    18. Massimiliano Landi & Chun Seng Yip, 2006. "Campaign Tactics and Citizens’ Electoral Decisions," Macroeconomics Working Papers 22462, East Asian Bureau of Economic Research.
    19. Ha-Thu Nguyen, 2016. "Reject inference in application scorecards: evidence from France," EconomiX Working Papers 2016-10, University of Paris Nanterre, EconomiX.
    20. Grant, Charles & Padula, Mario, 2013. "Using bounds to investigate household debt repayment behaviour," Research in Economics, Elsevier, vol. 67(4), pages 336-354.

    More about this item

    Keywords

    Financial Economics;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:agreko:54229. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aeasaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.