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

Hugues Keje ()
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Hugues Keje: Université catholique du Congo - Université catholique du Congo

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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.

Keywords: Bootstrap; DEA; Microfinance institution MFI efficiency (search for similar items in EconPapers)
Date: 2025-07-30
New Economics Papers: this item is included in nep-eff
Note: View the original document on HAL open archive server: https://hal.science/hal-05226442v1
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Published in Revue Congolaise de Gestion, 2025, 24 (janvier-juin), pp.111-125

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05226442

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