An analysis of the performance of microfinance banks in Nigeria

Using an unbalanced panel dataset of 695 microbanks for the period 2011 – 2017 and employing a suite of panel data techniques, this thesis empirically analyzed some factors that affect the performance of microfinance banks in Nigeria. Specifically, in analyzing the performance of microbanks, the the...

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Bibliographic Details

Main Author:	Nkenchor Neville Igue
Format:	Default Thesis
Published:	2025
Subjects:	Microfinance institutions (MFIs) Panel data econometrics Seemingly unrelated regression (SUR) model Instrumental variables two stage least square (IV2SLS) Financial performance Social performance Stochastic frontier analysis (SFA)
Online Access:	https://dx.doi.org/10.26174/thesis.lboro.29414270.v1
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