IDEAS home Printed from https://ideas.repec.org/a/spr/demogr/v52y2015i6p2053-2056.html
   My bibliography  Save this article

Sex Differences in Early-Age Mortality: The Preconception Origins Hypothesis

Author

Listed:
  • Roland Pongou

Abstract

The preconception origins hypothesis holds that some of the preconception and prenatal environmental factors that have been shown to determine the offspring sex ratio also explain sex differences in early-age mortality (Pongou 2013). It extends and complements the biological hypothesis, which affirms that the mortality sex gap originates in biological and genetic differences between the sexes. As such, it offers a broad framework for understanding changes in male–female differences in early-age mortality across space and over time. I argue that this hypothesis is consistent with the concurrent increase in the proportion of female births and in the relative mortality of female to male infants in the United States since World War II.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Roland Pongou, 2015. "Sex Differences in Early-Age Mortality: The Preconception Origins Hypothesis," Demography, Springer;Population Association of America (PAA), vol. 52(6), pages 2053-2056, December.
    • Handle: RePEc:spr:demogr:v:52:y:2015:i:6:p:2053-2056
    DOI: 10.1007/s13524-015-0441-y
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s13524-015-0441-y
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s13524-015-0441-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Roland Pongou, 2013. "Why Is Infant Mortality Higher in Boys Than in Girls? A New Hypothesis Based on Preconception Environment and Evidence From a Large Sample of Twins," Demography, Springer;Population Association of America (PAA), vol. 50(2), pages 421-444, April.
    2. Roland Pongou, 2013. "Erratum to: Why Is Infant Mortality Higher in Boys Than in Girls? A New Hypothesis Based on Preconception Environment and Evidence From a Large Sample of Twins," Demography, Springer;Population Association of America (PAA), vol. 50(2), pages 445-446, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Martin Flatø, 2018. "The Differential Mortality of Undesired Infants in Sub-Saharan Africa," Demography, Springer;Population Association of America (PAA), vol. 55(1), pages 271-294, February.
    2. Roland Pongou, 2020. "Is Excess (Fe)Male Mortality Caused by the Prenatal Environment, Child Biology, or Parental Discrimination? New Evidence from Male-Female Twins," Working Papers 2008E Classification-I15,, University of Ottawa, Department of Economics.
    3. Marie Christelle Mabeu & Roland Pongou, 2021. "The Interplay Between Colonial History and Postcolonial Institutions: Evidence from Cameroon," Working Papers 2111E Classification-D02,, University of Ottawa, Department of Economics.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Flatø, Martin & Kotsadam, Andreas, 2014. "Droughts and Gender Bias in Infant Mortality in Sub-Saharan Africa," Memorandum 02/2014, Oslo University, Department of Economics.
    2. Fenske, James & Wang, Shizhuo, 2023. "Tradition and mortality: Evidence from twin infanticide in Africa," Journal of Development Economics, Elsevier, vol. 163(C).
    3. Pal, Anita & Yadav, Jeetendra & Kumari, Dolly & Jitenkumar Singh, Kh., 2020. "Gender differentials and risk of infant and under five mortality in India. A comparative survival analysis," Children and Youth Services Review, Elsevier, vol. 118(C).
    4. repec:aer:wpaper:340 is not listed on IDEAS
    5. Joan Calzada & Meritxell Gisbert & Bernard Moscoso, 2021. "The hidden cost of bananas: pesticide effects on newborns’ health," UB School of Economics Working Papers 2021/405, University of Barcelona School of Economics.
    6. Han Lin Shang, 2017. "Reconciling Forecasts of Infant Mortality Rates at National and Sub-National Levels: Grouped Time-Series Methods," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 36(1), pages 55-84, February.
    7. Martin Flatø, 2018. "The Differential Mortality of Undesired Infants in Sub-Saharan Africa," Demography, Springer;Population Association of America (PAA), vol. 55(1), pages 271-294, February.
    8. Nguyen-Phung, Hang Thu, 2023. "The impact of maternal education on child mortality: Evidence from an increase tuition fee policy in Vietnam," International Journal of Educational Development, Elsevier, vol. 96(C).
    9. Roland Pongou, 2020. "Is Excess (Fe)Male Mortality Caused by the Prenatal Environment, Child Biology, or Parental Discrimination? New Evidence from Male-Female Twins," Working Papers 2008E Classification-I15,, University of Ottawa, Department of Economics.
    10. Feng Chen, 2023. "Does paid family leave save infant lives? Evidence from California's paid family leave program," Contemporary Economic Policy, Western Economic Association International, vol. 41(2), pages 319-337, April.
    11. Abayomi Samuel Oyekale & Thonaeng Charity Maselwa, 2018. "Maternal Education, Fertility, and Child Survival in Comoros," IJERPH, MDPI, vol. 15(12), pages 1-17, December.
    12. Wang, Linfeng & Shi, Tie & Chen, Hanyi, 2023. "Air pollution and infant mortality: Evidence from China," Economics & Human Biology, Elsevier, vol. 49(C).
    13. Colella, Sara & Dufourt, Frédéric & Hildebrand, Vincent A. & Vivès, Rémi, 2023. "Mental health effects of COVID-19 lockdowns: A Twitter-based analysis," Economics & Human Biology, Elsevier, vol. 51(C).
    14. Duque, Valentina, 2019. "Violence and Children’s Education: Evidence from Administrative Data," Working Papers 2019-16, University of Sydney, School of Economics.
    15. Tapsoba, Augustin, 2023. "The cost of fear: Impact of violence risk on child health during conflict," Journal of Development Economics, Elsevier, vol. 160(C).
    16. Renard, Yohan, 2022. "From fees to free: User fee removal, maternal health care utilization and child health in Zambia," World Development, Elsevier, vol. 156(C).
    17. Duque, Valentina & Schmitz, Lauren L., 2020. "The Influence of Early-life Economic Shocks on Long-term Outcomes: Evidence from the U.S. Great Depression," Working Papers 2020-11, University of Sydney, School of Economics.
    18. Bidisha Mandal & Wenjun Wu, 2023. "Examining the effects of a two-child policy in rural India," Journal of Population Research, Springer, vol. 40(3), pages 1-20, September.
    19. Tshilidzi Benedicta Mulaudzi & Yehenew Getachew Kifle & Roel Braekers, 2023. "A Shared Frailty Model for Left-Truncated and Right-Censored Under-Five Child Mortality Data in South Africa," Stats, MDPI, vol. 6(4), pages 1-11, October.
    20. Wanying Fu & Barry R. Smith & Patrick Brewer & Sean Droms, 2022. "A New Mortality Framework to Identify Trends and Structural Changes in Mortality Improvement and Its Application in Forecasting," Risks, MDPI, vol. 10(8), pages 1-38, August.
    21. Blumenthal, Anne & Martin, Karin A., 2023. "Boys at Risk Beyond Male Fragility: The Gender Gap in Child Injury Deaths in the United States, 2000-2020," OSF Preprints pgehb, Center for Open Science.

    More about this item

    JEL classification:

    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General
    • I10 - Health, Education, and Welfare - - Health - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:demogr:v:52:y:2015:i:6:p:2053-2056. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.