A Threshold Effect Analysis of Households' Ability to Maintain Economic Welfare: Rural–Urban Dichotomy in Ghana

ABSTRACT This study examines the ability of households to maintain economic welfare and the threshold at which it occurs. We use the Mobile Financial Service Survey (MFSS) data comprising a probability sampling of all Ghanaian households for the econometric analysis. Also, we engage two waves of the Ghana Living Standard Survey (GLSS 6 & 7) and the Demographic and Health Survey (DHS 2008 & 2014) to analyze household poverty trends. Using multinomial logistic regression and Lowess smoothing techniques, we find that poverty is a matter of the nature of residence in Ghana as rural households are poorer than their urban counterparts. Also, education negatively correlates with poverty, and household characteristics influence the poverty status of households through the household's ability to have an emergency fund, to self‐finance their typical expenditures, and to pay their bills. Other findings and policy implications are discussed.

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Publication Details

Journal
Politics &amp Policy
Published
2025-09-09
DOI
https://doi.org/10.1111/polp.70064
Primary Topic
Microfinance and Financial Inclusion
Type
article
Field-Weighted Citation Impact
0.00
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article

A Threshold Effect Analysis of Households' Ability to Maintain Economic Welfare: Rural–Urban Dichotomy in Ghana

Simplice Anutechia Asongu, Alhassan Abdul‐Wakeel Karakara, Evans S. C. Osabuohien
Politics &amp Policy
Microfinance and Financial Inclusion
article

A Threshold Effect Analysis of Households' Ability to Maintain Economic Welfare: Rural–Urban Dichotomy in Ghana

Simplice Anutechia Asongu, Alhassan Abdul‐Wakeel Karakara, Evans S. C. Osabuohien
article en

Abstract

ABSTRACT This study examines the ability of households to maintain economic welfare and the threshold at which it occurs. We use the Mobile Financial Service Survey (MFSS) data comprising a probability sampling of all Ghanaian households for the econometric analysis. Also, we engage two waves of the Ghana Living Standard Survey (GLSS 6 & 7) and the Demographic and Health Survey (DHS 2008 & 2014) to analyze household poverty trends. Using multinomial logistic regression and Lowess smoothing techniques, we find that poverty is a matter of the nature of residence in Ghana as rural households are poorer than their urban counterparts. Also, education negatively correlates with poverty, and household characteristics influence the poverty status of households through the household's ability to have an emergency fund, to self‐finance their typical expenditures, and to pay their bills. Other findings and policy implications are discussed.

Politics &amp PolicyVol. 53(5)
University of Cape Coast (GH), Covenant University (NG), Korea University (KR), University of Johannesburg (ZA), Centre for Budget and Governance Accountability (IN), Advanced Institute of Convergence Technology (KR), Tashkent State University of Economics (UZ)
Openalex Percentile: Top 67%
Microfinance and Financial Inclusion
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