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Headship and Poverty in Africa

Author

Listed:
  • Caitlin Brown

    (Central European University)

  • Dominique van de Walle

    (Center for Global Development)

Abstract

With a little more care to take context and the confounding attributes that make female-headed households (FHHs) particularly prone to poverty into account, this paper argues that headship can be useful for identifying poor households in Africa. Standard welfare comparisons between FHHs and male-headed households (MHHs) have largely ignored two confounding factors: marital status (affecting access to markets and services) and heterogeneity in household demographics (with bearing on economies of scale in consumption). Both influence welfare and are correlated with gender of headship. As judged by the usual per capita welfare measures, FHHs, on average, have lower poverty rates than MHHs in Africa. However, even a modest adjustment for economies of scale in consumption changes the poverty comparisons, with FHHs faring significantly worse overall in East, Central, and Southern Africa. Marital status also matters. The households of female heads are poorer than MHHs except when the female head is married. Taking the head’s marital status and the household’s demographics into account is critical to the association between female headship and welfare outcomes.

Suggested Citation

  • Caitlin Brown & Dominique van de Walle, 2020. "Headship and Poverty in Africa," Working Papers 531, Center for Global Development.
  • Handle: RePEc:cgd:wpaper:531
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    Cited by:

    1. Maneka Jayasinghe & Christine Smith, 2021. "Poverty Implications of Household Headship and Food Consumption Economies of Scales: A Case Study from Sri Lanka," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(1), pages 157-185, May.
    2. Kugler, Maurice & Viollaz, Mariana & Duque, Daniel & Gaddis, Isis & Newhouse, David & Palacios-Lopez, Amparo & Weber, Michael, 2023. "How did the COVID-19 crisis affect different types of workers in the developing world?," World Development, Elsevier, vol. 170(C).
    3. Sutirtha Bandyopadhyay & Bipasha Maity, 2021. "Widowhood and Consumption of Private Assignable Goods: The Role of Socio-Economic Status, Rainfall Shocks and Historical Institutions," Working Papers 73, Ashoka University, Department of Economics.
    4. Admasu,Yeshwas & Alkire,Sabina & Ekhator-Mobayode,Uche Eseosa & Kovesdi,Fanni & Santamaria,Julieth & Scharlin-Pettee[,Sophie, 2021. "A Multi-Country Analysis of Multidimensional Poverty in Contexts of Forced Displacement," Policy Research Working Paper Series 9826, The World Bank.
    5. Hoy,Christopher Alexander & Rajee Kanagavel & Cameron,Corey Morales, 2022. "Intra-Household Dynamics and Attitudes toward Vaccines : Experimental and Survey Evidencefrom Zambia," Policy Research Working Paper Series 10136, The World Bank.
    6. Hanmer,Lucia C. & Rubiano Matulevich,Eliana Carolina & Santamaria,Julieth, 2021. "Differences in Household Composition : Hidden Dimensions of Poverty and Displacement in Somalia," Policy Research Working Paper Series 9818, The World Bank.

    More about this item

    Keywords

    Female-headed households; gender; poverty; economies of scale; Africa; marital status;
    All these keywords.

    JEL classification:

    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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