MACROECONOMIC INSTABILITY, MICROFINANCE EFFECTIVENESS, AND POVERTY DYNAMICS IN NIGERIA: EVIDENCE FROM TIME-SERIES ANALYSIS
##plugins.themes.academic_pro.article.main##
Abstract
This study examines the synergy between macroeconomic instability, microfinance effectiveness, and poverty
dynamics in Nigeria over the period 1990 2024. The study is motivated by the persistent rise in poverty levels
despite various financial inclusion initiatives and macroeconomic policy interventions in Nigeria. Annual time-series
data were employed, and the empirical analysis was conducted using the Autoregressive Distributed Lag (ARDL)
model as the baseline estimation technique, while Fully Modified Ordinary Least Squares (FMOLS) and Dynamic
Ordinary Least Squares (DOLS) were used as robustness checks to validate the long-run relationships among the
variables. The results reveal that macroeconomic instability significantly increases poverty in Nigeria, indicating
that inflationary pressures, exchange rate fluctuations, and economic uncertainty exacerbate household vulnerability
and weaken welfare outcomes. Furthermore, poverty is found to be highly persistent over time, confirming strong
path dependency in poverty dynamics. On the other hand, microfinance effectiveness indicators, including branch
expansion, borrower participation, deposits, and loans, exhibit significant poverty-reducing effects, highlighting the
role of financial inclusion in improving income generation and economic participation. Financial deepening also
contributes to poverty reduction, while exchange rate instability worsens poverty outcomes. The FMOLS and DOLS
results confirm the robustness and consistency of the ARDL findings. The study concludes that sustainable poverty
reduction in Nigeria requires a dual policy approach that combines macroeconomic stabilisation with strengthened
microfinance systems. It recommends policies aimed at stabilising the macroeconomic while expanding access to
microfinance services to enhance financial inclusion and improve welfare outcomes for low-income households
across the country.