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Introducing statistical inference to the DEA model: an application of BOOTSTRAP to the performance scores of MFIs in developing countries
[Introduction de l'inférence statistique au modèle DEA : une application de BOOTSTRAP aux scores de performance des IMF des pays en Développement]

Author

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  • Hugues Keje

    (Université catholique du Congo - Université catholique du Congo)

Abstract

Using the research of Simar and Wilson, this article applies the Bootstrap to the performance scores derived from the Data Envelopment Analysis (DEA) model of MFIs in developing countries. Then, it apprehend the sensitivity of these scores to exogenous shocks particulary the macroeconomics variables. The estimated DEA frontier effectively differentiates between efficient MFIs located on this frontier and inefficient MFIs located below it.

Suggested Citation

  • Hugues Keje, 2025. "Introducing statistical inference to the DEA model: an application of BOOTSTRAP to the performance scores of MFIs in developing countries [Introduction de l'inférence statistique au modèle DEA : un," Post-Print hal-05226442, HAL.
  • Handle: RePEc:hal:journl:hal-05226442
    Note: View the original document on HAL open archive server: https://hal.science/hal-05226442v1
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    References listed on IDEAS

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