IDEAS home Printed from https://ideas.repec.org/a/bcp/journl/v6y2022i10p756-758.html
   My bibliography  Save this article

Factors Affecting the Number of Live Children Per Woman in Egypt Using Poisson Regression Model

Author

Listed:
  • Mostafa Sayed Mostafa Abd – El Hameed El Misery

    (Assistant professor, Department of Statistics, Faculty of Economics and Political Science, Cairo University, Egypt)

Abstract

The overall fertility rate in Egypt is to be decreased from 3.5% children per woman to 2.4% by 2030, which is one of the most significant sustainable development goals. Egypt’s overall fertility rate began to increase in 2008, peaking at 3.5 births per woman in 2014. (Ministry of Health and Population et al). The study focuses on the demographic, social, and cultural aspects that are crucial in reducing the overall number of children born to each woman. In order to identify the background factors that can contribute to a decrease in the total number of children ever born for each woman, we used the Egypt Demographic and Health Survey 2014 data [EDHS-2014]. The study provides in-depth information on Egypt’s demographic, socioeconomic variables as well as birth events. The data include 4,336 married women 15 to 49 years. The Poisson regression model is used in the paper’s analysis of the data. According to the study, the most significant characteristics that contribute to a decrease in the number of children per woman include education level attained, exposure to family planning messages, place of residence, wealth index, female employment, and contraceptive use. One of the most recommendations for this study is that the government continues its support for investments in education and improve the standard of living programs. The results show that the government has to increase the number of family planning service locations and step up its efforts to target fertility control.

Suggested Citation

  • Mostafa Sayed Mostafa Abd – El Hameed El Misery, 2022. "Factors Affecting the Number of Live Children Per Woman in Egypt Using Poisson Regression Model," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 6(10), pages 756-758, October.
  • Handle: RePEc:bcp:journl:v:6:y:2022:i:10:p:756-758
    as

    Download full text from publisher

    File URL: https://www.rsisinternational.org/journals/ijriss/Digital-Library/volume-6-issue-10/756-758.pdf
    Download Restriction: no

    File URL: https://www.rsisinternational.org/virtual-library/papers/factors-affecting-the-number-of-live-children-per-woman-in-egypt-using-poisson-regression-model/
    Download Restriction: no
    ---><---

    More about this item

    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:bcp:journl:v:6:y:2022:i:10:p:756-758. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Dr. Pawan Verma (email available below). General contact details of provider: https://rsisinternational.org/journals/ijriss/ .

    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.