Multilevel Determinants of Household Poverty: A Mixed Effects Logistic Regression Analysis

This study investigates the socioeconomic determinants of poverty in Turkey by incorporating household characteristics with regional indicators using 2024 data using a multilevel mixed-effects model. Relative poverty, defined as 60% of the median equivalised household disposable income, serves as the dependent variable. Considering the hierarchical structure of the data, the determinants of poverty status were examined employing a two-level generalised mixed-effect logistic regression model, accounting for the nesting of households within NUTS-2 regions. The findings reveal that poverty cannot be explained solely by household-level vulnerabilities; the regional economic environment also significantly shapes poverty outcomes. Also, education is determined as the most security measure; having a university degree decreases poverty risk by 42.6%. Across regions, resources must be directed towards GDP growth and infrastructure to mitigate spatial disparities by integrating household-level microdata with regional macro indicators. This study provides a comprehensive understanding of the spatial and key structural factors behind poverty in Turkey. Policymakers should prioritise opportunities to pursue higher education and vocational training at the household level.

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Publication Details

Journal
Journal of Economic Policy Researches / İktisat Politikası Araştırmaları Dergisi
Published
2026-08-21
DOI
https://doi.org/10.26650/jepr1896209
Primary Topic
Income, Poverty, and Inequality
Type
article
Field-Weighted Citation Impact
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article

Multilevel Determinants of Household Poverty: A Mixed Effects Logistic Regression Analysis

Esra Ballı, Çiler Güney, Zeynep Kaya
Journal of Economic Policy Researches / İktisat Politikası Araştırmaları Dergisi
Income, Poverty, and Inequality
article

Multilevel Determinants of Household Poverty: A Mixed Effects Logistic Regression Analysis

Esra Ballı, Çiler Güney, Zeynep Kaya
article en

Abstract

This study investigates the socioeconomic determinants of poverty in Turkey by incorporating household characteristics with regional indicators using 2024 data using a multilevel mixed-effects model. Relative poverty, defined as 60% of the median equivalised household disposable income, serves as the dependent variable. Considering the hierarchical structure of the data, the determinants of poverty status were examined employing a two-level generalised mixed-effect logistic regression model, accounting for the nesting of households within NUTS-2 regions. The findings reveal that poverty cannot be explained solely by household-level vulnerabilities; the regional economic environment also significantly shapes poverty outcomes. Also, education is determined as the most security measure; having a university degree decreases poverty risk by 42.6%. Across regions, resources must be directed towards GDP growth and infrastructure to mitigate spatial disparities by integrating household-level microdata with regional macro indicators. This study provides a comprehensive understanding of the spatial and key structural factors behind poverty in Turkey. Policymakers should prioritise opportunities to pursue higher education and vocational training at the household level.

Journal of Economic Policy Researches / İktisat Politikası Araştırmaları DergisiVol. 13(2)
Erzincan Binali Yıldırım University (TR), Cukurova University (TR), Atatürk University (TR)
No poverty
Openalex Percentile: Top 4%
Income, Poverty, and Inequality
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