Household structure in Ghana: Exploring dynamics over three decades

Josephine Akua Ackah, Rebecca Sear, Estelle McLean, Kofi Awusabo-Asare, Anushé Hassan, Fabian Sebastian Achana and Sarah Walters
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Rebecca Sear: London School of Hygiene and Tropical Medicine

No 7dhqr, OSF Preprints from Center for Open Science

Abstract: BACKGROUND: The nuclear convergence hypothesis proposes that development and urbanisation lead to increasing proportions of nuclear families. We explore this hypothesis in Ghana by charting household living arrangements as captured in censuses and surveys. OBJECTIVE: To classify household structure in Ghana and track trends to test whether households converge towards nucleation during processes of development and urbanisation. METHODS: We employ two methods of classification – manual and data driven (latent class analysis) – to create household structures using Ghana’s censuses (1984-2021) and Demographic and Health Surveys (1993-2022). We explore trends over time and compare urban and rural areas to track nuclear convergence while documenting the differences and similarities between data sources and methods of classification. RESULTS: We find that though the manual and data-driven approaches produce similar results, the latter is vulnerable to possible misclassification. From the manual approach, we identify seven different typologies of household structure in Ghana and find that on average, a substantial proportion are core nuclear (couple with children only), other extended (non-multigenerational) and single member households. Overall, our findings deviate from the nuclear convergence hypothesis. There has not been a significant shift in the distribution of household types and in urban areas, there is a growing proportion of multigenerational households. We also observe that the surveys provide more reliable evidence on trends than the censuses. CONTRIBUTION: There is no strong evidence to support nuclear convergence in Ghana. We make a methodological contribution, highlighting that the use of data-driven methods for household classification needs to be approached with caution.

Date: 2025-01-13
New Economics Papers: this item is included in nep-dev
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:7dhqr

DOI: 10.31219/osf.io/7dhqr

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