IDEAS home Printed from https://ideas.repec.org/h/spr/ssdmcp/978-3-030-44695-6_7.html

Application of Structural Equation Modeling to Infant Mortality Rate in Egypt

In: Demography of Population Health, Aging and Health Expenditures

Author

Listed:
  • Fatma Abdelkhalek

    (Budapest University of Technology and Economics, Institute of Mathematics)

  • Marianna Bolla

    (Budapest University of Technology and Economics, Institute of Mathematics)

Abstract

In social sciences, Structural Equation Modeling (SEM) is an important statistical approach for examining the causal relationships between variables. Since 1995, Egypt’s infant mortality rate (IMR) has declined from about 50 deaths of infants under one year of age per 1000 live births to about 20 deaths in 2015 (World Bank 2015). In this paper, we illustrate how SEM can be used to examine the factors that affect the IMR over time. We use data for five indicators: gross domestic product (GDP) per capita, current health expenditure as a percentage of the GDP, out-of-pocket health expenditure as a percentage of current health expenditures, hepatitis B immunization, and the maternal mortality ratio; all this data was available from the World Bank website. SEM results show the direct, indirect and total effects of each indicator on the IMR. In this manner, SEM provides important sequential causal relationships that can help policy makers set program priorities.

Suggested Citation

  • Fatma Abdelkhalek & Marianna Bolla, 2020. "Application of Structural Equation Modeling to Infant Mortality Rate in Egypt," The Springer Series on Demographic Methods and Population Analysis, in: Christos H. Skiadas & Charilaos Skiadas (ed.), Demography of Population Health, Aging and Health Expenditures, chapter 0, pages 89-99, Springer.
    • Handle: RePEc:spr:ssdmcp:978-3-030-44695-6_7
    DOI: 10.1007/978-3-030-44695-6_7
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:ssdmcp:978-3-030-44695-6_7. 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: 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.