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Sharing the Load: How Do Coresident Children Influence the Allocation of Work and Schooling in Northwestern Tanzania?

Abstract

Economic and evolutionary models of parental investment often predict education biases toward earlier-born children, resulting from either household resource dilution or parental preference. Previous research, however, has not always found these predicted biases—perhaps because in societies where children work, older children are more efficient at household tasks and substitute for younger children, whose time can then be allocated to school. The role of labor substitution in determining children’s schooling remains uncertain, however, because few studies have simultaneously considered intrahousehold variation in both children’s education and work. Here, we investigate the influence of coresident children on education, work, and leisure in northwestern Tanzania, using detailed time use data collected from multiple children per household (n = 1,273). We find that age order (relative age, compared with coresident children) within the household is associated with children’s time allocation, but these patterns differ by gender. Relatively young girls do less work, have more leisure time, and have greater odds of school enrollment than older girls. We suggest that this results from labor substitution: older girls are more efficient workers, freeing younger girls’ time for education and leisure. Conversely, relatively older boys have the highest odds of school enrollment among coresident boys, possibly reflecting traditional norms regarding household work allocation and age hierarchies. Gender is also important in household work allocation: boys who coreside with more girls do fewer household chores. We conclude that considering children as both producers and consumers is critical to understanding intrahousehold variation in children’s schooling and work.

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References

  1. Al-Samarrai, S., & Peasgood, T. (1998). Educational attainments and household characteristics in Tanzania. Economics of Education Review, 17, 395–417.

    Article  Google Scholar 

  2. Altmann, J. (1974). Observational study of behavior: Sampling methods. Behaviour, 49, 227–266.

    Article  Google Scholar 

  3. Baksh, M. (1989). The spot observations technique in time allocation research. Cultural Anthropology Methods, 1(2), 1–3.

    Google Scholar 

  4. Basu, K., & Van, P. H. (1998). The economics of child labor. American Economic Review, 88, 412–427.

    Google Scholar 

  5. Becker, G. S. (1960). An economic analysis of fertility. In National Bureau of Economic Research (Ed.), Demographic and economic change in developed countries (pp. 209–240). New York, NY: Columbia University Press.

    Google Scholar 

  6. Bock, J. (2002). Evolutionary demography and intrahousehold time allocation: School attendance and child labor among the Okavango Delta Peoples of Botswana. American Journal of Human Biology, 14, 206–221.

    Article  Google Scholar 

  7. Borgerhoff Mulder, M. (1998). Brothers and sisters. Human Nature, 9, 119–161.

    Article  Google Scholar 

  8. Borgerhoff Mulder, M., & Caro, T. M. (1985). The use of quantitative observational techniques in anthropology. Current Anthropology, 26, 323–335.

    Article  Google Scholar 

  9. Brown, J. E., & Dunn, P. K. (2011). Comparisons of Tobit, linear, and Poisson-gamma regression models: An application of time use data. Sociological Methods & Research, 40, 511–535.

    Article  Google Scholar 

  10. Brunette, W., Sundt, M., Dell, N., Chaudhri, R., Breit, N., & Borriello, G. (2013). Open Data Kit 2.0: Expanding and refining information services for developing regions. In ACM HotMobile ‘13: Proceedings of the 14th Workshop on Mobile Computing Systems and Applications (article 10). Jekyll Island, Georgia: ACM. https://doi.org/10.1145/2444776.2444790

  11. Canagarajah, S., & Coulombe, H. (1993). Child labor and schooling in Ghana. (Ghana: Labor Markets and Poverty background paper). Washington, DC: World Bank.

  12. Chernichovsky, D. (1985). Socioeconomic and demographic aspects of school enrollment and attendance in rural Botswana. Economic Development and Cultural Change, 33, 319–332.

    Article  Google Scholar 

  13. Coates, J., Swindale, A., & Bilinsky, P. (2007). Household Food Insecurity Access Scale (HFIAS) for measurement of household food access: Indicator guide (v. 3). Washington, DC: FHI 360/FANTA.

  14. Cornwell, K., Inder, B., Maitra, P., & Rammohan, A. (2005). Household composition and schooling of rural South African children: Sibling synergy and migrant effects (Monash Economics working papers). Clayton, Australia: Department of Economics, Monash University.

    Google Scholar 

  15. Dammert, A. C. (2010). Siblings, child labor, and schooling in Nicaragua and Guatemala. Journal of Population Economics, 23, 199–224.

    Article  Google Scholar 

  16. Dammert, A. C., & Galdo, J. C. (2013). Child labor variation by type of respondent: Evidence from a large-scale study (IZA Discussion Paper No. 7446). Bonn, Germany: Institute for the Study of Labor.

    Google Scholar 

  17. Dillon, A., Bardasi, E., Beegle, K., & Serneels, P. M. (2010). Explaining variation in child labor statistics (IZA Discussion Paper No. 5156). Bonn, Germany: Institute for the Study of Labor.

    Google Scholar 

  18. Downey, D. B. (2001). Number of siblings and intellectual development. American Psychologist, 56, 497–504.

    Article  Google Scholar 

  19. Edmonds, E. V. (2006). Understanding sibling differences in child labor. Journal of Population Economics, 19, 795–821.

    Article  Google Scholar 

  20. Eloundou-Enyegue, P. M., & Williams, L. B. (2006). Family size and schooling in sub-Saharan African settings: A reexamination. Demography, 43, 25–52.

    Article  Google Scholar 

  21. Emerson, P. M., & Souza, P. A. (2008). Birth order, child labor, and school attendance in Brazil. World Development, 36, 1647–1664.

    Article  Google Scholar 

  22. Fafchamps, M., & Wahba, J. (2006). Child labor, urban proximity, and household composition. Journal of Development Economics, 79, 374–397.

    Article  Google Scholar 

  23. Gibson, M. A., & Gurmu, E. (2011). Land inheritance establishes sibling competition for marriage and reproduction in rural Ethiopia. Proceedings of the National Academy of Sciences, 108, 2200–2204.

    Article  Google Scholar 

  24. Gibson, M. A., & Lawson, D. W. (2011). “Modernization” increases parental investment and sibling resource competition: Evidence from a rural development initiative in Ethiopia. Evolution and Human Behavior, 32, 97–105.

    Article  Google Scholar 

  25. Gibson, M. A., & Sear, R. (2010). Does wealth increase parental investment biases in child education? Current Anthropology, 51, 693–701.

    Article  Google Scholar 

  26. Glick, P., & Sahn, D. E. (2000). Schooling of girls and boys in a West African country: The effects of parental education, income, and household structure. Economics of Education Review, 19, 63–87.

    Article  Google Scholar 

  27. Gomes, M. (1984). Family size and educational attainment in Kenya. Population and Development Review, 10, 647–660.

    Article  Google Scholar 

  28. Gurven, M., & Kaplan, H. (2006). Determinants of time allocation across the lifespan: A theoretical model and an application to the Machiguenga and Piro of Peru. Human Nature, 17, 1–49.

    Article  Google Scholar 

  29. Haile, G., & Haile, B. (2012). Child labour and child schooling in rural Ethiopia: Nature and trade-off. Education Economics, 20, 365–385.

    Article  Google Scholar 

  30. Hedges, S., Borgerhoff Mulder, M., James, S., & Lawson, D. W. (2016). Sending children to school: Rural livelihoods and parental investment in education in northern Tanzania. Evolution and Human Behavior, 37, 142–151.

    Article  Google Scholar 

  31. Hedges, S., Sear, R., Todd, J., Urassa, M., & Lawson, D. W. (2018). Trade-offs in children’s time allocation: Mixed support for embodied capital models of the demographic transition in Tanzania. Current Anthropology, 59, 644–654.

    Article  Google Scholar 

  32. Hedges, S., Sear, R., Todd, J., Urassa, M., & Lawson, D. W. (2019). Earning their keep? Fostering, children’s education, and work in north-western Tanzania. Demographic Research, 41, 263–292. https://doi.org/10.4054/2019.41.10

  33. Heissler, K., & Porter, C. (2010). Know your place: Ethiopian children’s contributions to the household economy (Working Paper No. 61). Oxford, UK: Young Lives.

  34. Hertwig, R., Davis, J. N., & Sulloway, F. J. (2002). Parental investment: How an equity motive can produce inequality. Psychological Bulletin, 128, 728–745.

    Article  Google Scholar 

  35. Hivos/Twaweza (2014). Are our children learning? Literacy and numeracy across East Africa (Report). Nairobi, Kenya: Twaweza.

  36. Hrdy, S. B., & Judge, D. S. (1993). Darwin and the puzzle of primogeniture: An essay on biases in parental investment after death. Human Nature, 4, 1–45.

    Article  Google Scholar 

  37. Huisman, J., & Smits, J. (2015). Keeping children in school: Effects of household and context characteristics on school dropout in 363 districts of 30 developing countries. SAGE Open, 5,(4), 1–16. https://doi.org/10.1177/2158244015609666

  38. Janzen, S. A. (2018). Child labor measurement: Whom should we ask? International Labour Review, 157, 169–191.

    Article  Google Scholar 

  39. Jeon, J. (2008). Evolution of parental favoritism among different-aged offspring. Behavioral Ecology, 19, 344–352.

    Article  Google Scholar 

  40. Jones, J. H., & Bliege Bird, R. (2014). The marginal valuation of fertility. Evolution and Human Behavior, 35, 65–71.

    Article  Google Scholar 

  41. Kaplan, H. (1996). A theory of fertility and parental investment in traditional and modern human societies. American Journal of Physical Anthropology: Yearbook of Physical Anthropology, 39(S23), 91–135.

  42. Kaplan, H., Bock, J., & Hooper, P. L. (2015). Fertility theory: Embodied-capital theory of life history evolution. In J. Wright (Ed.), International encyclopedia of the social & behavioral sciences (2nd ed., pp. 28–34). Oxford, UK: Elsevier.

    Chapter  Google Scholar 

  43. Kevane, M., & Levine, D. I. (2003). Changing status of daughters in Indonesia (Working Paper No. C03-126). Berkeley: Center for International and Development Economics Research, University of California, Berkeley.

    Google Scholar 

  44. Kishamawe, C., Isingo, R., Mtenga, B., Zaba, B., Todd, J., Clark, B., ... Urassa, M. (2015). Health & Demographic Surveillance System profile: The Magu Health and Demographic Surveillance System (Magu HDSS). International Journal of Epidemiology, 44, 1851–1861.

    Article  Google Scholar 

  45. Kramer, K. L. (2002). Variation in juvenile dependence: Helping behavior among Maya children. Human Nature, 13, 299–325.

    Article  Google Scholar 

  46. Kramer, K. L. (2005). Children’s help and the pace of reproduction: Cooperative breeding in humans. Evolutionary Anthropology: Issues, News, and Reviews, 14, 224–237.

    Article  Google Scholar 

  47. Kramer, K. L. (2011). The evolution of human parental care and recruitment of juvenile help. Trends in Ecology & Evolution, 26, 533–540.

    Article  Google Scholar 

  48. Kumar, S. (2016). The effect of birth order on schooling in India. Applied Economics Letters, 23, 1325–1328.

    Article  Google Scholar 

  49. Lawson, D. W., & Borgerhoff Mulder, M. (2016). The offspring quantity-quality trade-off and human fertility variation. Philosophical Transactions of the Royal Society B: Biological Sciences , 371, 20150145. https://doi.org/10.1098/rstb.2015.0145

  50. Lawson, D. W., & Mace, R. (2009). Trade-offs in modern parenting: A longitudinal study of sibling competition for parental care. Evolution and Human Behavior, 30, 170–183.

    Article  Google Scholar 

  51. Lawson, D. W., Schaffnit, S. B., Hassan, A., Ngadaya, E., Ngowi, B., Mfinanga, S. G. M., ... Borgerhoff Mulder, M. (2017). Father absence but not fosterage predicts food insecurity, relative poverty, and poor child health in northern Tanzania. American Journal of Human Biology, 29(3), 1–16.

  52. Lawson, D. W., & Uggla, C. (2014). Family structure and health in the developing world: What can evolutionary anthropology contribute to population health science? In M. Gibson & D. W. Lawson (Eds.), Applied evolutionary anthropology: Darwinian approaches to contemporary world issues (pp. 85–118). New York, NY: Springer.

    Chapter  Google Scholar 

  53. Lee, R., & Kramer, K. L. (2002). Children’s economic roles in the Maya family life cycle: Cain, Caldwell and Chayanov revisited. Population and Development Review, 28, 475–499.

    Article  Google Scholar 

  54. Liddell, C., Barrett, L., & Henzi, P. (2003). Parental investment in schooling: Evidence from a subsistence farming community in South Africa. International Journal of Psychology, 38, 54–63.

    Article  Google Scholar 

  55. Lindskog, A. (2013). The effect of siblings’ education on school-entry in the Ethiopian highlands. Economics of Education Review, 34, 45–68.

    Article  Google Scholar 

  56. Lloyd, C. B., & Blanc, A. K. (1996). Children’s schooling in sub-Saharan Africa: The role of fathers, mothers, and others. Population and Development Review, 22, 265–298.

    Article  Google Scholar 

  57. Lloyd, C. B., & Gage-Brandon, A. J. (1994). High fertility and children’s schooling in Ghana: Sex differences in parental contributions and educational outcomes. Population Studies, 48, 293–306.

    Article  Google Scholar 

  58. Mace, R. (1996). Biased parental investment and reproductive success in Gabbra pastoralists. Behavioral Ecology and Sociobiology, 38, 75–81.

    Article  Google Scholar 

  59. Madhavan, S., Myroniuk, T. W., Kuhn, R., & Collinson, M. A. (2017). Household structure vs. composition: Understanding gendered effects on educational progress in rural South Africa. Demographic Research, 37, 1891–1916. https://doi.org/10.4054/DemRes.2017.37.59

    Article  Google Scholar 

  60. Marteleto, L. (2010). Family size, adolescents’ schooling and the demographic transition: Evidence from Brazil. Demographic Research, 23, 421–444. https://doi.org/10.4054/DemRes.2010.23.15

    Article  Google Scholar 

  61. Morduch, J. (2000). Sibling rivalry in Africa. American Economic Review: Papers & Proceedings, 90, 405–409.

    Article  Google Scholar 

  62. Moyi, P. (2010). Household characteristics and delayed school enrollment in Malawi. International Journal of Educational Development, 30, 236–242.

    Article  Google Scholar 

  63. Parish, W. L., & Willis, R. J. (1993). Daughters, education, and family budgets: Taiwan experience. Journal of Human Resources, 28, 863–898.

    Article  Google Scholar 

  64. Patrinos, H. A., & Psacharopoulos, G. (1995). Educational performance and child labor in Paraguay. International Journal of Educational Development, 15, 47–60.

    Article  Google Scholar 

  65. Price, J. (2008). Parent-child quality time: Does birth order matter? Journal of Human Resources, 43, 240–265.

    Article  Google Scholar 

  66. Pritchett, L. H. (2013). The rebirth of education: Schooling ain’t learning. Washington, DC: Center for Global Development.

    Google Scholar 

  67. Rammohan, A., & Dancer, D. (2008). Gender differences in intrahousehold schooling outcomes: The role of sibling characteristics and birth-order effects. Education Economics, 16, 111–126.

    Article  Google Scholar 

  68. Randall, S., Coast, E., & Leone, T. (2011). Cultural constructions of the concept of household in sample surveys. Population Studies, 65, 217–229.

    Article  Google Scholar 

  69. Rosati, F. C., & Rossi, M. (2003). Children’s working hours and school enrollment: Evidence from Pakistan and Nicaragua. World Bank Economic Review, 17, 283–295.

    Article  Google Scholar 

  70. Roth, E. A. (1991). Education, tradition, and household labor among Rendille pastoralists in northern Kenya. Human Organization, 50, 136–141.

    Article  Google Scholar 

  71. Ryan, S., Koczberski, G., Curry, G. N., & Germis, E. (2017). Intra-household constraints on educational attainment in rural households in Papua New Guinea. Asia Pacific Viewpoint, 58, 27–40.

    Article  Google Scholar 

  72. Sear, R. (2011). Parenting and families. In V. Swami (Ed.), Evolutionary psychology: A critical introduction (pp. 215–250). West Sussex, UK: Wiley-Blackwell.

    Google Scholar 

  73. Steelman, L. C., Powell, B., Werum, R., & Carter, S. (2002). Reconsidering the effects of sibling configuration: Recent advances and challenges. Annual Review of Sociology, 28, 243–269.

    Article  Google Scholar 

  74. Trivers, R. L. (1972). Parental investment and sexual selection. In B. Campbell (Ed.), Sexual selection and the descent of man (pp. 136–179). Chicago, IL: Aldine.

    Google Scholar 

  75. Varkevisser, C. M. (1973). Socialization in a changing society: Sukuma childhood in rural and urban Mwanza, Tanzania. The Hague: Centre for the Study of Education in Changing Societies.

    Google Scholar 

  76. Wijsen, F., & Tanner, R. (2002). “I am just a Sukuma”: Globalization and identity construction in northwest Tanzania. Amsterdam, the Netherlands: Rodopi.

    Book  Google Scholar 

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Acknowledgments

We thank the directors of the National Institute of Medical Research, Mwanza, for supporting this study; and our fieldwork team, especially Holo Dick, Pascazia Simon, and Vicky Sawalla, who conducted interviews. We extend special thanks to all our participants from Kisesa and Welamasonga and to the headteachers in the area who allowed us to conduct interviews in their schools. This work was supported by the UK Economic and Social Research Council through the Bloomsbury Doctoral Training Centre, Grant Reference Number 1360209. We are grateful for helpful comments and feedback from Abbey Viguier, Anushé Hassan, Alyce Raybould, Laura Brown, Susie Schaffnit, and four anonymous reviewers.

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Hedges, S., Lawson, D.W., Todd, J. et al. Sharing the Load: How Do Coresident Children Influence the Allocation of Work and Schooling in Northwestern Tanzania?. Demography 56, 1931–1956 (2019). https://doi.org/10.1007/s13524-019-00818-x

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Keywords

  • Education
  • Tanzania
  • Children’s work
  • Household composition
  • Birth order