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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
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    File URL: https://businessreview.iba.edu.pk/articles/child-mortality.pdf
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    Cited by:

    1. 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.
    2. 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.
    3. 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.

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