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Microcredit Loan Repayment Default among Small Scale Enterprises: A Double Hurdle Approach

Author

Listed:
  • Abu, Benjamin Musah
  • Domanban, Paul Bata
  • Haruna, Issahaku
Abstract
Previous studies that analysed loan defaults have imposed the restrictive assumption that the factors which influence the probability of loan default and the rate of default are the same and with the same direction effects. This study introduces a two-stage approach by applying the double hurdle model to analyse probability of loan default and the magnitude of the default as a way of relaxing this restrictive assumption. Using the model, this study is able to isolate the determinants of default rate from the determinants of the probability of default. The control function approach is used to test and control for potential endogeneity of loan amount and profit in the probability of default equation. The model is applied to primary data from a survey of 200 small scale entrepreneurs in the Upper West Region of Ghana. Results show that enterprise size, interest rate, loan duration, level of profit and loan amount are the simultaneous determinants of probability and rate of default. The study recommends that the National Board for Small Scale Industries should intensify training programmes aimed at enhancing the managerial and technical capabilities of entrepreneurs to ensure healthy and productive management to promote enterprise growth and increase profit margins and hence reduce defaults.

Suggested Citation

  • Abu, Benjamin Musah & Domanban, Paul Bata & Haruna, Issahaku, 2017. "Microcredit Loan Repayment Default among Small Scale Enterprises: A Double Hurdle Approach," MPRA Paper 101576, University Library of Munich, Germany, revised 12 Mar 2017.
  • Handle: RePEc:pra:mprapa:101576
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    File URL: https://mpra.ub.uni-muenchen.de/101576/1/MPRA_paper_101576.pdf
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    References listed on IDEAS

    as
    1. repec:bla:ecnote:v:33:y:2004:i:2:p:183-208 is not listed on IDEAS
    2. repec:uts:ppaper:v:17:y:2011:i:1:p:120-144 is not listed on IDEAS
    3. Bastos, João A., 2010. "Forecasting bank loans loss-given-default," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2510-2517, October.
    4. Bonfim, Diana, 2009. "Credit risk drivers: Evaluating the contribution of firm level information and of macroeconomic dynamics," Journal of Banking & Finance, Elsevier, vol. 33(2), pages 281-299, February.
    5. Marko Kosak & Jure Poljsak, 2010. "Loss given default determinants in a commercial bank lending: an emerging market case study," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 28(1), pages 61-88.
    6. Khieu, Hinh D. & Mullineaux, Donald J. & Yi, Ha-Chin, 2012. "The determinants of bank loan recovery rates," Journal of Banking & Finance, Elsevier, vol. 36(4), pages 923-933.
    7. Suraya Hanim Mokhtar & Gilbert Nartea & Christopher Gan, 2012. "Determinants of microcredit loans repayment problem among microfinance borrowers in Malaysia," International Journal of Business and Social Research, LAR Center Press, vol. 2(7), pages 33-45, December.
    8. Johnson, Simon & Boone, Peter & Breach, Alasdair & Friedman, Eric, 2000. "Corporate governance in the Asian financial crisis," Journal of Financial Economics, Elsevier, vol. 58(1-2), pages 141-186.
    9. Pederzoli, Chiara & Torricelli, Costanza, 2005. "Capital requirements and business cycle regimes: Forward-looking modelling of default probabilities," Journal of Banking & Finance, Elsevier, vol. 29(12), pages 3121-3140, December.
    10. McCann, Fergal & McIndoe-Calder, Tara, 2012. "Determinants of SME Loan Default: The Importance of Borrower-Level Heterogeneity," Research Technical Papers 06/RT/12, Central Bank of Ireland.
    11. Edward I. Altman & Brooks Brady & Andrea Resti & Andrea Sironi, 2005. "The Link between Default and Recovery Rates: Theory, Empirical Evidence, and Implications," The Journal of Business, University of Chicago Press, vol. 78(6), pages 2203-2228, November.
    12. Olwande, John & Mathenge, Mary K., 2012. "Market Participation among Poor Rural Households in Kenya," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126711, International Association of Agricultural Economists.
    13. Jimenez, Gabriel & Saurina, Jesus, 2004. "Collateral, type of lender and relationship banking as determinants of credit risk," Journal of Banking & Finance, Elsevier, vol. 28(9), pages 2191-2212, September.
    14. Jimenez, Gabriel & Salas, Vicente & Saurina, Jesus, 2006. "Determinants of collateral," Journal of Financial Economics, Elsevier, vol. 81(2), pages 255-281, August.
    15. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    16. Dermine, J. & de Carvalho, C. Neto, 2006. "Bank loan losses-given-default: A case study," Journal of Banking & Finance, Elsevier, vol. 30(4), pages 1219-1243, April.
    17. Sharma, Manohar & Zeller, Manfred, 1997. "Repayment performance in group-based credit programs in Bangladesh: An empirical analysis," World Development, Elsevier, vol. 25(10), pages 1731-1742, October.
    18. Schicks, Jessica, 2014. "Over-Indebtedness in Microfinance – An Empirical Analysis of Related Factors on the Borrower Level," World Development, Elsevier, vol. 54(C), pages 301-324.
    19. Bruche, Max & González-Aguado, Carlos, 2010. "Recovery rates, default probabilities, and the credit cycle," Journal of Banking & Finance, Elsevier, vol. 34(4), pages 754-764, April.
    20. William J. Burke, 2009. "Fitting and interpreting Cragg's tobit alternative using Stata," Stata Journal, StataCorp LP, vol. 9(4), pages 584-592, December.
    21. Robert A. Jarrow & David Lando & Stuart M. Turnbull, 2008. "A Markov Model for the Term Structure of Credit Risk Spreads," World Scientific Book Chapters, in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 18, pages 411-453, World Scientific Publishing Co. Pte. Ltd..
    22. Benjamin Bade & Daniel Roesch & Harald Scheule, 2011. "Default and Recovery Risk Dependencies in a Simple Credit Risk Model," Published Paper Series 2011-1, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    23. Abraham Kimtai Kiboki & Maurice Sakwa & Aloys Nyagechi Kiriago, 2014. "The Relationship between Small Scale Enterprises Performance and Access to Credit from Microfinance Institutions in Mount Elgon Constituency, Kenya," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 4(9), pages 507-518, September.
    24. Wongnaa, C. A. & Awunyo-Vitor, D., 2013. "Factors Affecting Loan Repayment Performance Among Yam Farmers in the Sene District, Ghana," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 5(2), pages 1-12, June.
    25. Benjamin Bade & Daniel Rösch & Harald Scheule, 2011. "Default and Recovery Risk Dependencies in a Simple Credit Risk Model," European Financial Management, European Financial Management Association, vol. 17(1), pages 120-144, January.
    26. Cragg, John G, 1971. "Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods," Econometrica, Econometric Society, vol. 39(5), pages 829-844, September.
    27. Grunert, Jens & Weber, Martin, 2009. "Recovery rates of commercial lending: Empirical evidence for German companies," Journal of Banking & Finance, Elsevier, vol. 33(3), pages 505-513, March.
    28. Unknown, 2005. "Forward," 2005 Conference: Slovenia in the EU - Challenges for Agriculture, Food Science and Rural Affairs, November 10-11, 2005, Moravske Toplice, Slovenia 183804, Slovenian Association of Agricultural Economists (DAES).
    29. Sarah Bridges & Richard Disney, 2004. "Use of credit and arrears on debt among low-income families in the United Kingdom," Fiscal Studies, Institute for Fiscal Studies, vol. 25(1), pages 1-25, March.
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    More about this item

    Keywords

    Repayment; Default; Microfinance; Small Scale Enterprises; Endogeneity; Double Hurdle;
    All these keywords.

    JEL classification:

    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • M2 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics

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