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A gender comparison of factors associated with time use towards unpaid domestic, caregiving services and selfcare in Kenya

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  • Nyagweta, David Tinashe

Abstract

Surveys and respective research on time use and associated factors such as gender is well established, yet studies still lag on several countries in Africa. This has been a reality for Kenya which is ranked 14 and 77 on the continent and globally for in terms of Gender Gap Index. Using Kenya’s first ever nationally representative time use survey; 2021 Kenya Time Use Survey (KTUS) this study examined factors associated with time allocation towards unpaid labour, and self-care. The study reveals that despite increased female labour market participation and gender-focused policies, women still dedicate more time to unpaid work and less to personal well-being. Key factors such as marital status, education, employment, and household structure are analysed, showing significant gender disparities in time use. The findings underscore the need for targeted policy interventions to address gender inequities in time use and promote well-being.

Suggested Citation

  • Nyagweta, David Tinashe, 2024. "A gender comparison of factors associated with time use towards unpaid domestic, caregiving services and selfcare in Kenya," MPRA Paper 122442, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:122442
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    References listed on IDEAS

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    1. Taryn Dinkelman & L. Rachel Ngai, 2022. "Time Use and Gender in Africa in Times of Structural Transformation," Journal of Economic Perspectives, American Economic Association, vol. 36(1), pages 57-80, Winter.
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    3. Athary Janiso & Prakash Kumar Shukla & Bheemeshwar Reddy A, 2024. "What explains the gender gap in unpaid housework and care work in India?," Development Policy Review, Overseas Development Institute, vol. 42(1), January.
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    5. Yamamura, Eiji & Tsutsui, Yoshiro, 2019. "Spousal gaps in age and identity, and their impact on the allocation of housework," MPRA Paper 92059, University Library of Munich, Germany.
    6. Diksha Arora, 2015. "Gender Differences in Time-Poverty in Rural Mozambique," Review of Social Economy, Taylor & Francis Journals, vol. 73(2), pages 196-221, June.
    7. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
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    Keywords

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    JEL classification:

    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing
    • J80 - Labor and Demographic Economics - - Labor Standards - - - General
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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