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Maternal Risk Exposure and Adult Daughters’ Health, Schooling, and Employment: A Constructed Cohort Analysis of 50 Developing Countries

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  • Qingfeng Li

    (Johns Hopkins Bloomberg School of Public Health)

  • Amy O. Tsui

    (Johns Hopkins Bloomberg School of Public Health)

Abstract

This study analyzes the relationships between maternal risk factors present at the time of daughters’ births—namely, young mother, high parity, and short preceding birth interval—and their subsequent adult developmental, reproductive, and socioeconomic outcomes. Pseudo-cohorts are constructed using female respondent data from 189 cross-sectional rounds of Demographic and Health Surveys conducted in 50 developing countries between 1986 and 2013. Generalized linear models are estimated to test the relationships and calculate cohort-level outcome proportions with the systematic elimination of the three maternal risk factors. The simulation exercise for the full sample of 2,546 pseudo-cohorts shows that the combined elimination of risk exposures is associated with lower mean proportions of adult daughters experiencing child mortality, having a small infant at birth, and having a low body mass index. Among sub-Saharan African cohorts, the estimated changes are larger, particularly for years of schooling. The pseudo-cohort approach can enable longitudinal testing of life course hypotheses using large-scale, standardized, repeated cross-sectional data and with considerable resource efficiency.

Suggested Citation

  • Qingfeng Li & Amy O. Tsui, 2016. "Maternal Risk Exposure and Adult Daughters’ Health, Schooling, and Employment: A Constructed Cohort Analysis of 50 Developing Countries," Demography, Springer;Population Association of America (PAA), vol. 53(3), pages 835-863, June.
  • Handle: RePEc:spr:demogr:v:53:y:2016:i:3:d:10.1007_s13524-016-0472-z
    DOI: 10.1007/s13524-016-0472-z
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    References listed on IDEAS

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    1. Moffitt, Robert, 1993. "Identification and estimation of dynamic models with a time series of repeated cross-sections," Journal of Econometrics, Elsevier, vol. 59(1-2), pages 99-123, September.
    2. Verbeek, Marno & Nijman, Theo, 1992. "Can Cohort Data Be Treated as Genuine Panel Data?," Empirical Economics, Springer, vol. 17(1), pages 9-23.
    3. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    4. Nancy Folbre, 2014. "The Care Economy in Africa: Subsistence Production and Unpaid Care," Journal of African Economies, Centre for the Study of African Economies, vol. 23(suppl_1), pages 128-156.
    5. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
    6. Verbeek, M.J.C.M. & Nijman, T.E., 1992. "Can cohort data be treated as genuine panel data?," Other publications TiSEM d4eada8f-b91c-4fe7-a58c-7, Tilburg University, School of Economics and Management.
    7. Kathryn Yount & Sarah Zureick-Brown & Nafisa Halim & Kayla LaVilla, 2014. "Fertility Decline, Girls’ Well-being, and Gender Gaps in Children’s Well-being in Poor Countries," Demography, Springer;Population Association of America (PAA), vol. 51(2), pages 535-561, April.
    Full references (including those not matched with items on IDEAS)

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