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Business Training Allocation and Credit Scoring: Theory and Evidence from Microcredit in France

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The microcredit market, where inexperienced micro-borrowers meet experienced microfinance institutions (MFIs), is subject to reversed asymmetric information. Thus, MFIs' choices can shape borrowers' beliefs and their behavior. We analyze how this mechanism may influence microfinance institution decisions to allocate business training. By means of a theoretical model, we show that superior information can lead the MFI not to train (or to train less) riskier borrowers. We then investigate whether this mechanism is empirically relevant, using data from a French MFI. Confirming our theoretical reasoning, we find a non-monotonic relationship between the MFI's decision to train and the risk that micro-borrowers represent.

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  • Renaud Bourlès & Anastasia Cozarenco & Dominique Henriet & Xavier Joutard, 2015. "Business Training Allocation and Credit Scoring: Theory and Evidence from Microcredit in France," AMSE Working Papers 1526, Aix-Marseille School of Economics, France.
    • Handle: RePEc:aim:wpaimx:1526
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    1. Emmanuel Tetteh Jumpah & Emmanuel Kojo Tetteh & Abdulai Adams, 2018. "Microcredit repayment among smallholder farmers: what microfinance institutions need to know," Asian Journal of Agriculture and rural Development, Asian Economic and Social Society, vol. 8(2), pages 74-91, July.

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    More about this item

    Keywords

    microcredit; reversed asymmetric information; looking-glass self; bivariate probit; scoring model;
    All these keywords.

    JEL classification:

    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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