IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-20-00088.html
   My bibliography  Save this article

What determines fertility among women in Nigeria? A disaggregated analysis using Poisson Regression

Author

Listed:
  • Agbutun S Adzugbele

    (Department of Economics, University of Nigeria, Nsukka, Nigeria.)

  • Iheonu O Chimere

    (Department of Economics, University of Nigeria, Nsukka, Nigeria.)

  • Anyanwu C Ogochukwu

    (Department of Economics, University of Nigeria, Nsukka, Nigeria.)

  • Ineghenehi P Augustine

    (Department of Economics, University of Nigeria, Nsukka, Nigeria.)

Abstract

Nigeria continues to face rapid population growth and outburst due to rising rates of fertility. And With weak economic growth rate and rising unemployment, it becomes desirable for the country to seek for ways through which this rising rate of fertility could be cushioned. Hence, this study investigates the determinants of fertility in Nigeria. The study utilized data from the 2013 Nigeria Demographic and Health Survey (NDHS) by employing the Standard Poisson regression, and the Ordinary Least Squares for estimations. The result showed that maternal education, income, use of contraception, Access to health center, Place of Residence, age, and age at first Birth all had significant impact on fertility rate. Furthermore, the findings revealed that the determinants of fertility differed among geo-political zones. The study concludes by emphasizing the role of education, use of contraception, and enlightenment of women in cushioning the rise in fertility in the country. Further recommendations are also discussed.

Suggested Citation

  • Agbutun S Adzugbele & Iheonu O Chimere & Anyanwu C Ogochukwu & Ineghenehi P Augustine, 2020. "What determines fertility among women in Nigeria? A disaggregated analysis using Poisson Regression," Economics Bulletin, AccessEcon, vol. 40(4), pages 3046-3060.
    • Handle: RePEc:ebl:ecbull:eb-20-00088
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2020/Volume40/EB-20-V40-I4-P265.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gary S. Becker & H. Gregg Lewis, 1974. "Interaction between Quantity and Quality of Children," NBER Chapters, in: Economics of the Family: Marriage, Children, and Human Capital, pages 81-90, National Bureau of Economic Research, Inc.
    2. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    3. Wolfgang Lutz, 2017. "Education empowers women to reach their personal fertility target, regardless of what the target is," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 15(1), pages 027-31.
    4. Eunkoo Lee, 2018. "Educational differences in period fertility: The case of South Korea, 1996–2010," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 38(13), pages 309-320.
    Full references (including those not matched with items on IDEAS)

    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. Bredl, Sebastian, 2012. "Child Quality and Child Quantity: Evidence from Bolivian Household Surveys," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62065, Verein für Socialpolitik / German Economic Association.
    2. Ren Mu & Yang Du, 2017. "Pension Coverage for Parents and Educational Investment in Children: Evidence from Urban China," The World Bank Economic Review, World Bank, vol. 31(2), pages 483-503.
    3. Menta, Giorgia & Lepinteur, Anthony, 2021. "Boys don’t cry (or do the dishes): Family size and the housework gender gap," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 164-188.
    4. Zhao, Qiran & Yu, Xiaohua & Wang, Xiaobing & Glauben, Thomas, 2014. "The impact of parental migration on children's school performance in rural China," China Economic Review, Elsevier, vol. 31(C), pages 43-54.
    5. Ding, Feng & Du, Limin & Shi, Jinchuan, 2020. "Lucky to have a sister: The effects of unmarried sister on brother outcomes in late imperial China," China Economic Review, Elsevier, vol. 64(C).
    6. Jun, Bogang, 2013. "The Trade-off between Fertility and Education: Evidence from the Korean Development Path," MPRA Paper 43971, University Library of Munich, Germany.
    7. Wang, Jun & Yang, Juan & Li, Bo, 2017. "Pain of disasters: The educational cost of exogenous shocks evidence from Tangshan Earthquake in 1976," China Economic Review, Elsevier, vol. 46(C), pages 27-49.
    8. Baulia, Susmita, 2024. "Is household shock a boon or bane to the utilisation of preventive healthcare for children? Evidence from Uganda," Economics & Human Biology, Elsevier, vol. 52(C).
    9. Chenlu Li & Simon C Moore & Jesse Smith & Sarah Bauermeister & John Gallacher, 2019. "The costs of negative affect attributable to alcohol consumption in later life: A within-between random longitudinal econometric model using UK Biobank," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-15, February.
    10. Ding, Xiaozhou, 2021. "College education and internal migration in China," China Economic Review, Elsevier, vol. 69(C).
    11. Mayumi Kubo & Anoshua Chaudhuri, 2017. "Gender Gap in Health Status of Children in the Context of One-Child Policy in China: Is it Sibling Rivalry or Son Preference?," Journal of Family and Economic Issues, Springer, vol. 38(2), pages 204-217, June.
    12. Wolfgang Auer, 2018. "Empirical Essays on the Socioeconomic Consequences of Economic Uncertainty," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 79, May.
    13. Huang, Kaixing, 2020. "Agricultural Productivity and Income Divergence: Evidence from the Green Revolution," MPRA Paper 108357, University Library of Munich, Germany, revised 16 Jun 2021.
    14. C. Dannemann & Erkan Goeren, 2018. "The Educational Burden of ADHD: Evidence From Student Achievement Test Scores," Working Papers V-408-18, University of Oldenburg, Department of Economics, revised Apr 2018.
    15. Román David Zárate, 2013. "Family size and children quality: New evidence and new exogenous shocks in the case of Colombian Households," Documentos CEDE 10588, Universidad de los Andes, Facultad de Economía, CEDE.
    16. Luca TASCIOTTI & Farooq Sulehria & Natascha Wagner, 2024. "Fertility, electricity and television: is there a link? Evidence from Pakistan, 1990–2018," JODE - Journal of Demographic Economics, Cambridge University Press, vol. 90(2), pages 285-312, June.
    17. Lindskog, Annika, 2013. "The effect of siblings’ education on school-entry in the Ethiopian highlands," Economics of Education Review, Elsevier, vol. 34(C), pages 45-68.
    18. Fatma Romeh M. Ali & Shiferaw Gurmu, 2018. "The impact of female education on fertility: a natural experiment from Egypt," Review of Economics of the Household, Springer, vol. 16(3), pages 681-712, September.
    19. Averi Chakrabarti & Karen A Grépin & Stéphane Helleringer, 2019. "The impact of supplementary immunization activities on routine vaccination coverage: An instrumental variable analysis in five low-income countries," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-11, February.
    20. Harold Alderman & John Hoddinott & Bill Kinsey, 2006. "Long term consequences of early childhood malnutrition," Oxford Economic Papers, Oxford University Press, vol. 58(3), pages 450-474, July.

    More about this item

    Keywords

    Fertility; Microeconometrics; Nigeria; Poisson Regression; Women;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: 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:ebl:ecbull:eb-20-00088. 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: John P. Conley (email available below). General contact details of provider: .

    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.