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Infant mortality and child nutrition in Bangladesh

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  • Diane Dancer
  • Anu Rammohan
  • Murray D. Smith

Abstract

The excess female infant mortality observed in South Asia has typically been attributed to gender discrimination in the intra‐household allocation of food and medical care. However, studies on child nutrition find no evidence of gender differences. A natural explanation could be that in environments of high infant mortality of females, the surviving children are healthier, so that child nutrition cannot be studied independently of mortality. In this paper, we use data from the 2004 Bangladesh Demographic Health Survey to investigate if there are any gender differences in survival probabilities and whether this leads to differences in child nutrition. We argue the importance of establishing whether or not there exists a dependence relationship between the two random variables – infant mortality and child nutrition – and in order to detect this we employ a copula approach to model specification. The results suggest, for example, that while male children have a significantly lower likelihood of surviving their first year relative to female children, should they survive they have significantly better height‐for‐age Z‐scores. From a policy perspective, household wealth and public health interventions such as vaccinations are found to be important predictors of better nutritional outcomes. Copyright © 2008 John Wiley & Sons, Ltd.

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  • Diane Dancer & Anu Rammohan & Murray D. Smith, 2008. "Infant mortality and child nutrition in Bangladesh," Health Economics, John Wiley & Sons, Ltd., vol. 17(9), pages 1015-1035, September.
  • Handle: RePEc:wly:hlthec:v:17:y:2008:i:9:p:1015-1035
    DOI: 10.1002/hec.1379
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    1. Seiler, Johannes & Harttgen, Kenneth & Kneib, Thomas & Lang, Stefan, 2021. "Modelling children's anthropometric status using Bayesian distributional regression merging socio-economic and remote sensed data from South Asia and sub-Saharan Africa," Economics & Human Biology, Elsevier, vol. 40(C).
    2. Harttgen, Kenneth & Lang, Stefan & Seiler, Johannes, 2019. "Selective mortality and the anthropometric status of children in low- and middle-income countries," Economics & Human Biology, Elsevier, vol. 34(C), pages 257-273.
    3. Ganguli, Ina & Hausmann, Ricardo & Viarengo, Martina, 2011. "Closing the Gender Gap in Education: Does It Foretell the Closing of the Employment, Marriage, and Motherhood Gaps?," Working Paper Series rwp11-021, Harvard University, John F. Kennedy School of Government.
    4. Gebremeskel Berhane Tesfay & Babatunde Abidoye, 2019. "Shocks in food availability and intra-household resources allocation: evidence on children nutrition outcomes in Ethiopia," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 7(1), pages 1-21, December.
    5. repec:pra:mprapa:59643 is not listed on IDEAS
    6. Huang, Zibin & Jiang, Xu & Sun, Ang, 2024. "Fertility and delayed migration: How son preference protects young girls against mother–child separation," Journal of Development Economics, Elsevier, vol. 166(C).
    7. José Murteira & Óscar Lourenço, 2011. "Health care utilization and self-assessed health: specification of bivariate models using copulas," Empirical Economics, Springer, vol. 41(2), pages 447-472, October.
    8. Makate, Marshall & Makate, Clifton, 2016. "Is poor sanitation killing more children in rural Zimbabwe? Results of propensity score matching method," MPRA Paper 72831, University Library of Munich, Germany, revised 02 Aug 2016.
    9. Fan, Shenggen & Brzeska, Joanna, 2011. "The nexus between agriculture and nutrition: Do growth patterns and conditional factors matter?," 2020 conference briefs 1, International Food Policy Research Institute (IFPRI).
    10. Pallavi Panda, 2020. "Selective Mortality and Malnutrition in India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(4), pages 861-890, December.
    11. Gracious M. Diiro & Abdoul G. Sam & David Kraybill, 2017. "Heterogeneous Effects of Maternal Labor Market Participation on the Nutritional Status of Children: Empirical Evidence from Rural India," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 10(3), pages 609-632, September.
    12. Guimbeau, Amanda & Ji, Xinde James & Long, Zi & Menon, Nidhiya, 2024. "Ocean salinity, early-life health, and adaptation," Journal of Environmental Economics and Management, Elsevier, vol. 125(C).
    13. Theresa Thompson Chaudhry & Maha Khan & Azka Sarosh Mir, 2021. "Son‐biased fertility stopping, birth spacing, and child nutritional status in Pakistan," Review of Development Economics, Wiley Blackwell, vol. 25(2), pages 712-736, May.
    14. Theresa Thompson Chaudhry & Maha Khan & Azka Sarosh Mir, 2020. "Gender Gaps in Child Nutritional Status in Punjab, Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 59(2), pages 275-300.
    15. Anu Rammohan & Niyi Awofeso & Kazi Iqbal, 2014. "Gender differentials in the timing of measles vaccination in rural India," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 30(67), pages 1825-1848.
    16. McGovern, Mark E. & Canning, David & Bärnighausen, Till, 2018. "Accounting for non-response bias using participation incentives and survey design: An application using gift vouchers," Economics Letters, Elsevier, vol. 171(C), pages 239-244.
    17. Ina GANGULI & Ricardo HAUSMANN & Martina VIARENGO, 2014. "Closing the gender gap in education: What is the state of gaps in labour force participation for women, wives and mothers?," International Labour Review, International Labour Organization, vol. 153(2), pages 173-207, June.
    18. Richard Mussa, 2015. "Intrahousehold and Interhousehold Child Nutrition Inequality in Malawi," South African Journal of Economics, Economic Society of South Africa, vol. 83(1), pages 140-153, March.
    19. Mark McGovern & David Canning & Till Bärnighausen, 2018. "Accounting for Non-Response Bias using Participation Incentives and Survey Design," CHaRMS Working Papers 18-02, Centre for HeAlth Research at the Management School (CHaRMS).
    20. Kenneth Harttgen & Stefan Lang & Johannes Seiler, 2017. "Selective mortality and undernutrition in low- and middle-income countries," Working Papers 2017-27, Faculty of Economics and Statistics, Universität Innsbruck, revised Aug 2018.
    21. Alderman, Harold & Lokshin, Michael & Radyakin, Sergiy, 2011. "Tall claims: Mortality selection and the height of children in India," Economics & Human Biology, Elsevier, vol. 9(4), pages 393-406.
    22. Hasebe, Takuya & Vijverberg, Wim P., 2012. "A Flexible Sample Selection Model: A GTL-Copula Approach," IZA Discussion Papers 7003, Institute of Labor Economics (IZA).

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