Health shocks and households’ vulnerability to poverty in Nigeria: a quasi-experimental analysis

Abstract Health shocks are a critical driver of poverty in low- and middle-income countries (LMICs). This study investigates the impact of health shocks on household poverty risk in Nigeria and evaluates the protective capacity of existing health insurance mechanisms, using data from the 2023/2024 G...

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Main Authors: Paul Eze, Chimere O. Iheonu
Format: Article
Language:English
Published: BMC 2025-07-01
Series:Health Economics Review
Subjects:
Online Access:https://doi.org/10.1186/s13561-025-00660-5
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author Paul Eze
Chimere O. Iheonu
author_facet Paul Eze
Chimere O. Iheonu
author_sort Paul Eze
collection DOAJ
description Abstract Health shocks are a critical driver of poverty in low- and middle-income countries (LMICs). This study investigates the impact of health shocks on household poverty risk in Nigeria and evaluates the protective capacity of existing health insurance mechanisms, using data from the 2023/2024 General Household Survey (n = 4,779 households). We first estimated household vulnerability using Chaudhuri's (2003) Vulnerability as Expected Poverty framework, addressing heteroskedasticity in consumption estimation via feasible generalized least squares. We then modeled the probability of household vulnerability following health shocks using probit regression. Finally, we implemented propensity score matching to isolate the effect of health shocks on households’ vulnerability. Our results indicate that 56.1% and 59.2% of Nigerian households are vulnerable to poverty, using the international ($2.15/day) and national ($2.48/day) poverty lines, respectively. Vulnerable households are more prevalent in northern regions, rural areas, larger households, and poorer households. We found evidence that, based on the international poverty line, health shocks significantly increased the probability of household vulnerability (ATT = 0.053, SE = 0.023) compared to matched households without health shocks, with a slightly higher impact (ATT = 0.054, SE = 0.023) if using the national poverty line. Household size, dependency ratio, household head’s education and employment status, and residence were significant predictors of vulnerability. Despite their potential, health insurance, covering only 2.2% of households, did not offer adequate protection against health shocks. This study provides robust evidence that health shocks increase households' vulnerability to poverty and perpetuate existing poverty. Financial protection measures need to be considered in broader poverty reduction policies.
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spelling doaj-art-c8234de51b3d4e828a4ae6148203e5e72025-08-20T03:45:45ZengBMCHealth Economics Review2191-19912025-07-0115111710.1186/s13561-025-00660-5Health shocks and households’ vulnerability to poverty in Nigeria: a quasi-experimental analysisPaul Eze0Chimere O. Iheonu1Department of Health Policy and Administration, Penn State UniversityDepartment of Business Administration, African University of Science and TechnologyAbstract Health shocks are a critical driver of poverty in low- and middle-income countries (LMICs). This study investigates the impact of health shocks on household poverty risk in Nigeria and evaluates the protective capacity of existing health insurance mechanisms, using data from the 2023/2024 General Household Survey (n = 4,779 households). We first estimated household vulnerability using Chaudhuri's (2003) Vulnerability as Expected Poverty framework, addressing heteroskedasticity in consumption estimation via feasible generalized least squares. We then modeled the probability of household vulnerability following health shocks using probit regression. Finally, we implemented propensity score matching to isolate the effect of health shocks on households’ vulnerability. Our results indicate that 56.1% and 59.2% of Nigerian households are vulnerable to poverty, using the international ($2.15/day) and national ($2.48/day) poverty lines, respectively. Vulnerable households are more prevalent in northern regions, rural areas, larger households, and poorer households. We found evidence that, based on the international poverty line, health shocks significantly increased the probability of household vulnerability (ATT = 0.053, SE = 0.023) compared to matched households without health shocks, with a slightly higher impact (ATT = 0.054, SE = 0.023) if using the national poverty line. Household size, dependency ratio, household head’s education and employment status, and residence were significant predictors of vulnerability. Despite their potential, health insurance, covering only 2.2% of households, did not offer adequate protection against health shocks. This study provides robust evidence that health shocks increase households' vulnerability to poverty and perpetuate existing poverty. Financial protection measures need to be considered in broader poverty reduction policies.https://doi.org/10.1186/s13561-025-00660-5Health shocksPovertyVulnerability to povertyPropensity score matchingNigeria
spellingShingle Paul Eze
Chimere O. Iheonu
Health shocks and households’ vulnerability to poverty in Nigeria: a quasi-experimental analysis
Health Economics Review
Health shocks
Poverty
Vulnerability to poverty
Propensity score matching
Nigeria
title Health shocks and households’ vulnerability to poverty in Nigeria: a quasi-experimental analysis
title_full Health shocks and households’ vulnerability to poverty in Nigeria: a quasi-experimental analysis
title_fullStr Health shocks and households’ vulnerability to poverty in Nigeria: a quasi-experimental analysis
title_full_unstemmed Health shocks and households’ vulnerability to poverty in Nigeria: a quasi-experimental analysis
title_short Health shocks and households’ vulnerability to poverty in Nigeria: a quasi-experimental analysis
title_sort health shocks and households vulnerability to poverty in nigeria a quasi experimental analysis
topic Health shocks
Poverty
Vulnerability to poverty
Propensity score matching
Nigeria
url https://doi.org/10.1186/s13561-025-00660-5
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AT chimereoiheonu healthshocksandhouseholdsvulnerabilitytopovertyinnigeriaaquasiexperimentalanalysis