IDEAS home Printed from https://ideas.repec.org/a/dem/demres/v22y2010i10.html
   My bibliography  Save this article

Modeling fertility curves in Africa

Author

Listed:
  • Ezra Gayawan

    (Redeemer’s University)

  • Samson B. Adebayo

    (Society for Family Health (SFH))

  • Reuben A. Ipinyomi

    (University of Ilorin)

  • Benjamin Oyejola

    (University of Ilorin)

Abstract

The modeling of fertility patterns is an essential method researchers use to understand world-wide population patterns. Various types of fertility models have been reported in the literature to capture the patterns specific to developed countries. While much effort has been put into reducing fertility rates in Africa, models which describe the fertility patterns have not been adequately described. This article presents a flexible parametric model that can adequately capture the varying patterns of the age-specific fertility curves of African countries. The model has parameters that are interpretable in terms of demographic indices. The performance of this model was compared with other commonly used models and Akaike’s Information Criterion was used for selecting the model with best fit. The presented model was able to reproduce the empirical fertility data of 11 out of 15 countries better than the other models considered.

Suggested Citation

  • Ezra Gayawan & Samson B. Adebayo & Reuben A. Ipinyomi & Benjamin Oyejola, 2010. "Modeling fertility curves in Africa," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 22(10), pages 211-236, February.
  • Handle: RePEc:dem:demres:v:22:y:2010:i:10
    as

    Download full text from publisher

    File URL: http://www.demographic-research.org/volumes/vol22/10/22-10.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Paraskevi Peristera & Anastasia Kostaki, 2007. "Modeling fertility in modern populations," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 16(6), pages 141-194, March.
    2. Carl Schmertmann, 2005. "Quadratic spline fits by nonlinear least squares," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 12(5), pages 105-106, March.
    3. Koehler, Anne B. & Murphree, Emily S., 1988. "A comparison of results from state space forecasting with forecasts from the Makridakis Competition," International Journal of Forecasting, Elsevier, vol. 4(1), pages 45-55.
    4. Carl Schmertmann, 2003. "A system of model fertility schedules with graphically intuitive parameters," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 9(5), pages 81-110, October.
    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. Ezra Gayawan & Samson B. Adebayo, 2013. "A Bayesian semiparametric multilevel survival modelling of age at first birth in Nigeria," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(45), pages 1339-1372, June.

    More about this item

    Keywords

    Africa; age-specific fertility rate (ASFR); Akaike Information Criterion; complementary error function; cubic/quadratic spline; polynomial model;

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - 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:dem:demres:v:22:y:2010:i:10. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Editorial Office) or (Christopher F Baum). General contact details of provider: http://www.demogr.mpg.de/ .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.