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Measuring male fertility rates in developing countries with Demographic and Health Surveys: An assessment of three methods

Author

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  • Bruno Schoumaker

    (Université catholique de Louvain)

Abstract

Background: Levels and patterns of male fertility are poorly documented in developing countries. Demographic accounts of male fertility focus primarily on developed countries, and where such accounts do exist for developing countries they are mainly available at the local or regional level. Objective: We show how data from Demographic and Health Surveys (DHS) can be used to compute age-specific male fertility rates. Three methods are described and compared: the own-children method, the date-of-last-birth method, and the crisscross method. Male and female fertility rates are compared using the own-children method. Results: Male fertility estimates produced using the own-children method emerge as the most trustworthy. The data needed for this method is widely available and makes it possible to document male fertility in a large number of developing countries. The date-of-last-birth method also appears worthwhile, and may be especially useful for analyzing fertility differentials. The crisscross method is less reliable, but may be of interest for ages below 40. Comparisons of male and female fertility show that reproductive experiences differ across gender in most developing countries: Male fertility is substantially higher than female fertility, and males have their children later than females. Contribution: This study shows that Demographic and Health Surveys constitute a valuable and untapped source of data that can be used to document male fertility in a large number of countries. Male fertility rates are markedly different from female fertility rates in developing countries, and documenting both male and female fertility provides a more complete picture of fertility.

Suggested Citation

  • Bruno Schoumaker, 2017. "Measuring male fertility rates in developing countries with Demographic and Health Surveys: An assessment of three methods," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 36(28), pages 803-850.
  • Handle: RePEc:dem:demres:v:36:y:2017:i:28
    DOI: 10.4054/DemRes.2017.36.28
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    References listed on IDEAS

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    Cited by:

    1. Dudel, Christian & Klüsener, Sebastian, 2019. "New opportunities for comparative male fertility research: Insights from a new data resource based on high-quality birth registers," SocArXiv 8kqws, Center for Open Science.
    2. Florianne C. J. Verkroost & Christiaan W. S. Monden, 2022. "Childlessness and Development in Sub-Saharan Africa: Is There Evidence for a U-shaped Pattern?," European Journal of Population, Springer;European Association for Population Studies, vol. 38(3), pages 319-352, August.
    3. Ashira Menashe-Oren & David A. Sánchez-Páez, 2023. "Male Fertility and Internal Migration in Rural and Urban Sub-Saharan Africa," European Journal of Population, Springer;European Association for Population Studies, vol. 39(1), pages 1-40, December.
    4. Christian Dudel & Sebastian Klüsener, 2017. "Estimating male fertility from vital registration data with missing values," MPIDR Working Papers WP-2017-019, Max Planck Institute for Demographic Research, Rostock, Germany.
    5. Breschi, M. & Fornasin, A. & Gonano, G. & Mazzoni, S. & Manfredini, M., 2020. "Male fertility between biology and the socioeconomic context news from the past (Alghero, 1866–1935)," Economics & Human Biology, Elsevier, vol. 37(C).
    6. Christian Dudel & Sebastian Klüsener, 2021. "Male–Female Fertility Differentials Across 17 High-Income Countries: Insights From A New Data Resource," European Journal of Population, Springer;European Association for Population Studies, vol. 37(2), pages 417-441, April.
    7. Christian Dudel & Sebastian Klüsener, 2019. "New opportunities for comparative male fertility research: insights from a new data resource based on high-quality birth registers," MPIDR Working Papers WP-2019-023, Max Planck Institute for Demographic Research, Rostock, Germany.

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    More about this item

    Keywords

    male fertility; Demographic and Health Surveys (DHS); own-children method;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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