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Disruptions in Educational Progress and Fertility Dynamics by Educational Level: Unraveling the Link between Education and Fertility Stalls in Sub‐Saharan Africa

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  • Bruno D. Schoumaker
  • David A. Sánchez‐Páez

Abstract

Stalls in fertility decline have been found in many sub‐Saharan African countries. Our objective is to unravel the relationship between education and stalled fertility by analyzing the extent to which fertility stalls reflect a lack of changes in the educational composition of the population or are related to reversals and halts in the fertility decline within educational groups. Using the Demographic and Health Surveys and Multiple Indicator Cluster Surveys, we first estimate total fertility rates by educational level and examine how they have varied over time, especially during periods of stagnation. Then, we use the Kitagawa decomposition method to analyze changes in country‐level fertility rates. We show that fertility stalls tend to be a collective experience with fertility stalls found among all educational groups in most countries that have experienced a fertility stall. In contrast, composition effects either have no or a limited impact on fertility stalls. However, slow educational progress made some countries more vulnerable to stalls.

Suggested Citation

  • Bruno D. Schoumaker & David A. Sánchez‐Páez, 2024. "Disruptions in Educational Progress and Fertility Dynamics by Educational Level: Unraveling the Link between Education and Fertility Stalls in Sub‐Saharan Africa," Population and Development Review, The Population Council, Inc., vol. 50(1), pages 59-85, March.
    • Handle: RePEc:bla:popdev:v:50:y:2024:i:1:p:59-85
    DOI: 10.1111/padr.12610
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    References listed on IDEAS

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    1. John Bongaarts & Barbara S. Mensch & Ann K. Blanc, 2017. "Trends in the age at reproductive transitions in the developing world: The role of education," Population Studies, Taylor & Francis Journals, vol. 71(2), pages 139-154, May.
    2. David Shapiro & Andrew Hinde, 2017. "On the pace of fertility decline in sub-Saharan Africa," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 37(40), pages 1327-1338.
    3. Anne Goujon & Wolfgang Lutz & Samir KC, 2015. "Education stalls and subsequent stalls in African fertility: A descriptive overview," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 33(47), pages 1281-1296.
    4. John Bongaarts, 2017. "The effect of contraception on fertility: Is sub-Saharan Africa different?," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 37(6), pages 129-146.
    5. Bruno Schoumaker, 2013. "A Stata module for computing fertility rates and TFRs from birth histories: tfr2," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(38), pages 1093-1144.
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    Cited by:

    1. Berger, Hoël & Dasré, Aurélien, 2024. "Religious affiliation, education, and fertility in sub-Saharan Africa," World Development, Elsevier, vol. 184(C).

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