Financial inclusion and household debt: Evidence from low-income and lower-middle-income countries

This study examines the relation between financial inclusion (FI) and individual debt in low- and lower-middle-income countries, focusing on whether increased access to financial services promotes borrowing. Although FI is often advocated for enhancing economic opportunities, its implications for debt accumulation remain underexplored, particularly in developing economies. Using categorical and binary indicators of FI, the analysis reveals a nonlinear relation between FI and individual debt, highlighting a threshold beyond which increased access correlates with higher borrowing. The empirical analysis is based on probit regression, complemented by a least absolute shrinkage and selection operator (LASSO)-logit model to ensure robustness. The LASSO-logit approach confirms the primary findings and improves model parsimony by selecting the most relevant predictors of borrowing. Results emphasize the dual-edged nature of FI and the need for a nuanced, context-specific policy design to prevent over-indebtedness in financially underserved populations.

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Publication Details

Journal
Borsa Istanbul Review
Published
2025-10-25
DOI
https://doi.org/10.1016/j.bir.2025.10.029
Primary Topic
Microfinance and Financial Inclusion
Type
article
Field-Weighted Citation Impact
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article

Financial inclusion and household debt: Evidence from low-income and lower-middle-income countries

Dilek Başar, Selcen Öztürk, Pınar Sezer
Borsa Istanbul Review
Microfinance and Financial Inclusion
article

Financial inclusion and household debt: Evidence from low-income and lower-middle-income countries

Dilek Başar, Selcen Öztürk, Pınar Sezer
article en

Abstract

This study examines the relation between financial inclusion (FI) and individual debt in low- and lower-middle-income countries, focusing on whether increased access to financial services promotes borrowing. Although FI is often advocated for enhancing economic opportunities, its implications for debt accumulation remain underexplored, particularly in developing economies. Using categorical and binary indicators of FI, the analysis reveals a nonlinear relation between FI and individual debt, highlighting a threshold beyond which increased access correlates with higher borrowing. The empirical analysis is based on probit regression, complemented by a least absolute shrinkage and selection operator (LASSO)-logit model to ensure robustness. The LASSO-logit approach confirms the primary findings and improves model parsimony by selecting the most relevant predictors of borrowing. Results emphasize the dual-edged nature of FI and the need for a nuanced, context-specific policy design to prevent over-indebtedness in financially underserved populations.

Borsa Istanbul ReviewVol. 26(1)
Hacettepe University (TR)
Openalex Percentile: Top 60%
Microfinance and Financial Inclusion
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