IDEAS home Printed from https://ideas.repec.org/a/aho/journl/v13y2018i2p34-50.html
   My bibliography  Save this article

Socioeconomic determinants of child mortality: Evidence from Pakistan Demographic and Health Survey

Author

Listed:
  • Rana Ejaz Ali Khan

    (The Islamia University of Bahawalpur, Bahawalpur)

  • Khadija Malik Bari
  • Muhammad Ali Raza

    (Institute of Business Administration, University Road, Karachi)

Abstract

This paper attempts to highlight socioeconomic determinants of child mortality in Pakistan. Binary logistic regression is applied to 7297 observations from the Pakistan Demographic and Health Survey 2012-13. The results reveal that probability of child mortality decreases with greater birth-interval, child’s large size at birth, more family members, mother’s education, mother’s ownership of assets and mother’s decision-making at the household level. Policy makers can work to improve mothers’ characteristics such as fertility behavior, education, empowerment and decision-making at the household level, to reduce child mortality.

Suggested Citation

  • Rana Ejaz Ali Khan & Khadija Malik Bari & Muhammad Ali Raza, 2018. "Socioeconomic determinants of child mortality: Evidence from Pakistan Demographic and Health Survey," Business Review, School of Economics and Social Sciences, IBA Karachi, vol. 13(2), pages 34-50, July-Dece.
    • Handle: RePEc:aho:journl:v:13:y:2018:i:2:p:34-50
    as

    Download full text from publisher

    File URL: https://businessreview.iba.edu.pk/articles/child-mortality.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Oluwafunmilade Deji-Abiodun & David Ferrandiz-Mont & Vinod Mishra & Chi Chiao, 2021. "A multilevel analysis of the social determinants associated with symptoms of acute respiratory infection among preschool age children in Pakistan: A population-based survey," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-11, December.
    2. Muhammad Islam & Muhammad Usman & Azhar Mahmood & Aaqif Afzaal Abbasi & Oh-Young Song, 2020. "Predictive analytics framework for accurate estimation of child mortality rates for Internet of Things enabled smart healthcare systems," International Journal of Distributed Sensor Networks, , vol. 16(5), pages 15501477209, May.
    3. Muhammad Shahid & Inam Ullah Leghari & Farooq Ahmed, 2020. "Socio-Economic Correlates of Children's Nutritional Status: Evidence from Pakistan Demographic and Health Survey 2017-18," Global Economics Review, Humanity Only, vol. 5(1), pages 221-233, March.

    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:aho:journl:v:13:y:2018:i:2:p:34-50. 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: sshabbar (email available below). General contact details of provider: https://edirc.repec.org/data/ibakapk.html .

    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.