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Bootstrapping efficiency scores of microfinance institutions in West African economic and monetary union

Author

Listed:
  • Jean-Philippe Boussemart

    (LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - ULCO - Université du Littoral Côte d'Opale - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

  • Sandrine Kablan

    (ERUDITE - Equipe de Recherche sur l’Utilisation des Données Individuelles en lien avec la Théorie Economique - UPEM - Université Paris-Est Marne-la-Vallée - UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12)

Abstract

We used a Data Envelopment Analysis bootstrap approach to compute the efficiency scores of Microfinance Institutions in the West African Economic and Monetary Union (WAEMU). Our results indicate that our efficiency scores are much lower than the original DEA scores. Indeed, the MFIs had an average score of 63.61%, suggesting that efficiency could be improved by 36.39%. There were also significant efficiency disparities among WAEMU member states, with the maximum value in Burkina Faso at 71.51% and the minimum value in Benin at 52.04%. The sizes of these MFIs did not seem to impact their efficiency levels. However, the ages of these MFIs did impact their efficiency levels: MFIs with less than 10 years of experience displayed the highest levels of efficiency. Additionally, the type of MFI also impacted efficiency levels: credit unions were the most efficient followed by Non-Governmental Organizations and then Non-Bank Financial Institutions.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Jean-Philippe Boussemart & Sandrine Kablan, 2015. "Bootstrapping efficiency scores of microfinance institutions in West African economic and monetary union," Post-Print hal-01772380, HAL.
  • Handle: RePEc:hal:journl:hal-01772380
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    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • G2 - Financial Economics - - Financial Institutions and Services

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