Multidimensional Poverty from a Gender Perspective: Disparity, Decomposition, and Determinants

Lina Agustina Pujiwati () and Zainal Fatoni ()
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Lina Agustina Pujiwati: Doctoral Program of Population Science, The Graduate School of Universitas Gadjah Mada
Zainal Fatoni: Doctoral Program of Population Science, The Graduate School of Universitas Gadjah Mada

No 202503002, Gadjah Mada Economics Working Paper Series from Department of Economics, Faculty of Economics and Business, Universitas Gadjah Mada

Abstract: Multidimensional poverty is one of the biggest challenges faced by many countries around the world, including Indonesia, while gender equality is the fifth goal of the Sustainable Development Goals. By analyzing raw data from the March 2022 National Socio-Economic Survey, this study utilizes the Alkire-Foster method to analyze multidimensional poverty based on provincial disparities as well as its decomposition and determinants from a gender perspective. Binary logistic regression analysis is used to determine how socio-economic characteristics influence multidimensional poverty. Our findings indicate that the eastern region of Indonesia has worse conditions compared to other regions. Decomposition analysis shows that the largest contribution of multidimensional poverty is health dimension. Female-headed households are 1.19 times more likely to be multidimensionally poor than male-headed ones. Education, rural/urban, and household size are significant determinants of female-headed households being multidimensionally poor. The results provide insights to policymakers to consider formulating gender-sensitive poverty alleviation policies.

Keywords: multidimensional poverty; gender; household; disparity; decomposition; determinant (search for similar items in EconPapers)
JEL-codes: D63 I32 J16 (search for similar items in EconPapers)
Pages: 22 pages
Date: 2025-03
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