Caregiver Labour-Market Disruptions and Multidimensional Poverty among Households Raising Children with Developmental Disabilities in Tanzania
Keywords:
Child Developmental disability, labour-market disruptions, multidimensional poverty, Household Production TheoryAbstract
This study examines the relationship between caregiver labour-market disruptions and multidimensional poverty among households raising children with developmental disabilities in Tanzania. Specifically, it examines how exit from work, reduced working hours and reduced labour productivity are associated with multidimensional deprivation. A cross-sectional quantitative design was employed, using survey data collected from 385 caregivers in Dar es Salaam, Kilimanjaro and Shinyanga regions between January and April 2026. A two-stage econometric approach was adopted, comprising a Probit and bounded Tobit model estimated using 382 observations. The findings indicate that male caregiver status, formal-sector employment, household size and household income are positively associated with access of services, whereas combined physical and intellectual impairments are negatively associated with access. Tobit results reveal that caregiver exit from work is positively and significantly associated with household multidimensional poverty (β = 0.170, p = 0.004). However, reduced working hours and labour productivity exhibit no statistically significant associations. Furthermore, intellectual impairment, particularly when combined with physical impairment, is associated with higher deprivation. Autism spectrum disorder and Down syndrome are also associated with higher deprivation relative to cerebral palsy. Male caregiver status is associated with lower deprivation, while larger household size demonstrates a weak negative association. The study recommends disability-responsive social protection, flexible employment arrangements, affordable inclusive services and community-based respite care to protect household welfare and sustain caregivers’ economic participation.
References
1. Asuman, D., Ackah, C. G., & Agyire-Tettey, F. (2021). Disability and household welfare in Ghana: Costs and correlates. Journal of Family and Economic Issues, 42(4), 633–649. https://doi.org/10.1007/s10834-020-09741-5
2. Becker, G. S. (1965). A theory of the allocation of time. The Economic Journal, 75(299), 493. https://doi.org/10.2307/2228949
3. Brekke, I., & Nadim, M. (2017). Gendered effects of intensified care burdens: Employment and sickness absence in families with chronically sick or disabled children in Norway. Work, Employment and Society, 31(3), 391–408. https://doi.org/10.1177/0950017015625616
4. Bumbalo, J., Ustinich, L., Ramcharran, D., & Schwalberg, R. (2005). Economic impact on families caring for children with special health care needs in New Hampshire: The effect of socioeconomic and health-related factors. Maternal and Child Health Journal, 9, S3–S11. https://doi.org/10.1007/s10995-005-4350-3
5. Castellani, J., Kimbute, O., Makasi, C., Mrango, Z. E., Paulus, A. T. G., Evers, S. M. A. A., Hardy, P., Sumner, T., Keiya, A., Mihaylova, B., Faiz, M. A., & Gomes, M. (2022). Daily life and challenges faced by households with permanent childhood developmental disability in rural Tanzania: A qualitative study. Journal of Developmental and Physical Disabilities, 34(3), 471–490. https://doi.org/10.1007/s10882-021-09809-6
6. Chanda, T., Houle, J. N., Vogel, L. K., Dwyer, R. E., & Berger, L. M. (2026). "First phone call is usually family": Informal borrowing among low-income debtors. Journal of Marriage and Family, 88(1), 213–226. https://doi.org/10.1111/jomf.70007
7. Cochran, W. G. (1977). Sampling techniques (3rd ed.). Wiley. https://www.wiley.com/en-dk/sampling-techniques-3rd-edition-p-9780471162407
8. Cragg, J. G. (1971). Some statistical models for limited dependent variables with application to the demand for durable goods. Econometrica, 39(5), 829. https://doi.org/10.2307/1909582
9. Goodman, N., Morris, M., & Boston, K. (2019). Financial inequality: Disability, race and poverty in America.
10. Joel, C., Msuya, S., John, B., & George, J. (2018). Collateral effects encountered by families of children living with physical or mental disabilities, or both, in Kilimanjaro, Tanzania: A cross-sectional study. The Lancet Global Health, 6, S51. https://doi.org/10.1016/S2214-109X(18)30180-3
11. Kamaralzaman, S., Ying, T. C., Mohamed, S., Toran, H., Satari, N., & Abdullah, N. (2018). The economic burden of families of children with cerebral palsy in Malaysia. Malaysian Journal of Public Health Medicine, 156–165
12. Katumba, K. R., Tann, C. J., Webb, E. L., Tenywa, P., Nampijja, M., Seeley, J., & Greco, G. (2023). The economic burden incurred by families caring for a young child with developmental disability in Uganda. PLOS Global Public Health, 3(4), e0000953. https://doi.org/10.1371/journal.pgph.0000953
13. Kim, C.-O. (2022). Effect of health shocks on poverty status in South Korea: Exploring the mechanism of medical impoverishment. International Journal of Health Policy and Management, 11(10), 2090–2102. https://doi.org/10.34172/ijhpm.2021.97
14. Komorowska, O., & Kozłowski, A. (2023). Impact of a child's disability on the probability of the mother taking up paid employment. Wiadomości Statystyczne. The Polish Statistician. https://doi.org/10.59139/ws.2023.06.2
15. Kosherbayeva, L., Kozhageldiyeva, L., Pena-Boquete, Y., Samambayeva, A., & Seredenko, M. (2025). Effects of autism spectrum disorder on parents' labour market: Productivity loss and policy evaluation in Kazakhstan. Autism, 29(1), 169–181. https://doi.org/10.1177/13623613241273042
16. Liao, X., & Li, Y. (2020). Economic burdens on parents of children with autism: A literature review. CNS Spectrums, 25(4), 468–474. https://doi.org/10.1017/S1092852919001512
17. Lindsay, S., Phonepraseuth, J., & Leo, S. (2024). Experiences and factors affecting poverty among families raising a child with a disability: A scoping review. Disability and Rehabilitation, 1–19. https://doi.org/10.1080/09638288.2024.2438999
18. Mfilinge, K. C. (2022). Socio-cultural and economic challenges confronting caregivers of children with disabilities in Kilolo District, Tanzania. Asian Research Journal of Arts & Social Sciences. https://journalarjass.com/index.php/ARJASS/article/view/405
19. Morris, Z. A., McGarity, S. V., Goodman, N., & Zaidi, A. (2022). The extra costs associated with living with a disability in the United States. Journal of Disability Policy Studies, 33(3), 158–167. https://doi.org/10.1177/10442073211043521
20. Olusanya, B. O., Samms-Vaughan, M. E., & Boo, N. Y. (2022). Accelerating progress on early childhood development for children under 5 years with disabilities by 2030. The Lancet Global Health, 10(3), e438–e444. https://doi.org/10.1016/S2214-109X(21)00488-5
21. Pinilla-Roncancio, M., & Alkire, S. (2021). How poor are people with disabilities? Evidence based on the global multidimensional poverty index. Journal of Disability Policy Studies, 31(4), 206–216. https://doi.org/10.1177/1044207320919942
22. Reisel, L., Nadim, M., & Brekke, I. (2021). The impact of having a child with special needs: Labour market adaptations of immigrant and majority mothers. Acta Sociologica, 64(4), 403–419. https://doi.org/10.1177/0001699320971695
23. Rennane, S. (2020). A double safety net? Understanding interactions between disability benefits, formal assistance, and family support. Journal of Health Economics, 69, 102248. https://doi.org/10.1016/j.jhealeco.2019.102248
24. Rogge, N., & Janssen, J. (2019). The economic costs of autism spectrum disorder: A literature review. Journal of Autism and Developmental Disorders, 49(7), 2873–2900. https://doi.org/10.1007/s10803-019-04014-z
25. Roos, G., Alecu, A., & Austgulen, M. H. (2024). Everyday household costs of raising a child with cerebral palsy. The European Journal of Public Health, 34. https://doi.org/10.1093/eurpub/ckae144.2175
26. Swai, E. A., Moshi, H. I., Msuya, S. E., Lindkvist, M., Sörlin, A., & Sahlen, K. G. (2024). Adaptive adjustment to the needs of families caring for children and adolescents with physical disabilities in north-eastern Tanzania: A grounded-theory study. Global Health Action, 17(1), 2354009. https://doi.org/10.1080/16549716.2024.2354009
27. United Republic of Tanzania. (2022). Administrative units population distribution report. Ministry of Finance, National Bureau of Statistics, and Office of the Chief Government Statistician, Zanzibar.
28. Van Goethem, V., Dierickx, S., Deliens, L., De Vleminck, A., Lapeire, L., & Cohen, J. (2023). Size and characteristics of family caregiving for people with serious illness: A population-based survey. Palliative & Supportive Care, 21, 634–643. https://doi.org/10.1017/S1478951522001079
29. Vinck, J., & Brekke, I. (2020). Gender and education inequalities in parental employment and earnings when having a child with increased care needs: Belgium versus Norway. Journal of European Social Policy, 30(4), 495–508. https://doi.org/10.1177/0958928720921346
30. Vinck, J., & Van Lancker, W. (2020). An intersectional approach towards parental employment in families with a child with a disability: The case of Belgium. Work, Employment and Society, 34(2), 228–261. https://doi.org/10.1177/0950017019872648
31. Weiss, M. A., Marchese, S., & Zhang, L. (2019). Effective care management for children with special health care needs in the era of value-based payment. Clinical Pediatrics, 58(9), 949–956. https://doi.org/10.1177/0009922819839231
32. WHO. (2022). Global Report on Health Equity for Persons with Disabilities (p. 312). World Health Organization
33. World Health Organization, & United Nations Children's Fund. (2023). Global report on children with developmental disabilities. https://www.unicef.org/documents/global-report-children-developmental-disabilities
34. Wondemu, M. Y., Joranger, P., Hermansen, Å., & Brekke, I. (2022). Impact of child disability on parental employment and labour income: A quasi-experimental study of parents of children with disabilities in Norway. BMC Public Health, 22(1), 1813. https://doi.org/10.1186/s12889-022-14195-5
35. Zhao, Y., Luo, Y., Zhang, R., & Zheng, X. (2023). Direct and indirect costs for families of children with autism spectrum disorder in China. Autism, 27(8), 2337–2347. https://doi.org/10.1177/13623613231158862




