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Gender and Child Mortality in Pakistan

Author

Listed:
  • Gangadharan, L.
  • Maitra, P.

Abstract

In this paper we use child level data from Pakistan to estimate the probability of the child dying and the number of days the child was alive before dying. We find that overall girls have a higher probability of surviving and when we look at disaggregated data we find that relative to boys, girls have a significantly lower probability of dying in the age group 0-1 but have a significantly higher probability of dying in the age group 1-5. Education of the mother has a significant and negative effect on child mortality and there is a threshold level of education that the mother has to attain before education starts affecting child mortality. However the effect of education is not as strong as what the literature has suggested. Additionally we find that increased duration between the births significantly reduces child mortality. Children born to older parents have a lower probability of dying and the age of the mother at the time of birth has a significant effect on child mortality though the age of mother effect on child mortality differs across age groups of the child. We argue that the higher mortality of girls in the age group 1-5 is indicative of discrimination against girls in the form of lower health and other resource inputs.

Suggested Citation

  • Gangadharan, L. & Maitra, P., 2000. "Gender and Child Mortality in Pakistan," Department of Economics - Working Papers Series 763, The University of Melbourne.
  • Handle: RePEc:mlb:wpaper:763
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    File URL: http://www.economics.unimelb.edu.au/research/2000-2001.html
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    Citations

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    Cited by:

    1. Abay Asfaw & Francesca Lamanna & Stephan Klasen, 2010. "Gender gap in parents' financing strategy for hospitalization of their children: evidence from India," Health Economics, John Wiley & Sons, Ltd., vol. 19(3), pages 265-279, March.
    2. Asfaw, Abay & Klasen, Stephan & Lamanna, Francesca, 2007. "Intra-household Gender Disparities in Children’s Medical Care before Death in India," IZA Discussion Papers 2586, Institute of Labor Economics (IZA).
    3. Armand Mboutchouang K. & Cédric Foyet K. & Cédrick Kalemasi M., 2023. "Child fostering and health nutritional outcomes of under-five: Evidence from Cameroon," Working Papers of the African Governance and Development Institute. 23/008, African Governance and Development Institute..
    4. Abay Asfaw & Stephan Klasen & Francesca Lamanna, 2008. "Intrahousehold Health Care Financing Strategy and the Gender Gap: Empirical Evidence from India," Ibero America Institute for Econ. Research (IAI) Discussion Papers 177, Ibero-America Institute for Economic Research.
    5. Armand Mboutchouang K. & Cédric Foyet K. & Cédrick Kalemasi M., 2023. "Child fostering and health nutritional outcomes of under-five: Evidence from Cameroon," Working Papers 23/008, European Xtramile Centre of African Studies (EXCAS).
    6. Pushkar Maitra & Xiujian Peng & Yaer Zhuang, 2006. "Parental Education and Child Health: Evidence from China," Asian Economic Journal, East Asian Economic Association, vol. 20(1), pages 47-74, March.
    7. Armand Mboutchouang K. & Cédric Foyet K. & Cédrick Kalemasi M., 2023. "Child fostering and health nutritional outcomes of under-five: Evidence from Cameroon," Working Papers of The Association for Promoting Women in Research and Development in Africa (ASPROWORDA). 23/003, The Association for Promoting Women in Research and Development in Africa (ASPROWORDA).

    More about this item

    Keywords

    CHILD MORTALITY ; EDUCATION ; SEX DISTRIBUTION;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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