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Does greater autonomy among women provide the key to better child nutrition?

Author

Listed:
  • Arulampalam, Wiji

    (University of Warwick)

  • Bhaskar, Anjor

    (Independent Researcher)

  • Srivastava, Nisha

    (University of Allahabad)

Abstract

We examine the link between a mother’s autonomy - the freedom and ability to think, express, act and make decisions independently - and the nutritional status of her children. We design a novel statistical framework that accounts for cultural and traditional environment, to create a measure of maternal autonomy, a concept that has rarely been examined previously as a factor in children’s nutritional outcomes. Using data from the Third Round of the National Family Health Survey for India, supplemented with our qualitative survey, and accounting for "son preference" by limiting analysis to first-born children under 18 months of age, we document that maternal autonomy has a positive impact on the long-term nutritional status of rural children. We find that one standard deviation increase in maternal autonomy score (i) is associated with a 10 percent reduction (representing 300,000 children) in the prevalence of stunting, and (ii) compensates for half of the estimated average decline in Height-for Age Z- scores Indian children experience in the second six months of life. The findings underscore the importance of women’s empowerment in improving children’s nutrition during the critical first two years of life, a recognized "window of opportunity" for lifelong health and economic benefits.

Suggested Citation

  • Arulampalam, Wiji & Bhaskar, Anjor & Srivastava, Nisha, 2016. "Does greater autonomy among women provide the key to better child nutrition?," CAGE Online Working Paper Series 269, Competitive Advantage in the Global Economy (CAGE).
  • Handle: RePEc:cge:wacage:269
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    References listed on IDEAS

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    1. Imai, Katsushi S. & Annim, Samuel Kobina & Kulkarni, Veena S. & Gaiha, Raghav, 2014. "Women’s Empowerment and Prevalence of Stunted and Underweight Children in Rural India," World Development, Elsevier, vol. 62(C), pages 88-105.
    2. Doan, Rebecca Miles & Bisharat, Leila, 1990. "Female autonomy and child nutritional status: The extended-family residential unit in Amman, Jordan," Social Science & Medicine, Elsevier, vol. 31(7), pages 783-789, January.
    3. Kazuo Yamaguchi, 1989. "A formal theory for male-preferring stopping rules of childbearing: sex differences in birth order and in the number of siblings," Demography, Springer;Population Association of America (PAA), vol. 26(3), pages 451-465, August.
    4. Thomas J. Kane & Douglas O. Staiger, 2008. "Estimating Teacher Impacts on Student Achievement: An Experimental Evaluation," NBER Working Papers 14607, National Bureau of Economic Research, Inc.
    5. Chakraborty, Tanika & De, Prabal K., 2011. "Mother's Autonomy and Child Welfare: A New Measure and Some New Evidence," IZA Discussion Papers 5438, Institute of Labor Economics (IZA).
    6. Raj Chetty & John N. Friedman & Jonah E. Rockoff, 2014. "Measuring the Impacts of Teachers II: Teacher Value-Added and Student Outcomes in Adulthood," American Economic Review, American Economic Association, vol. 104(9), pages 2633-2679, September.
    7. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    8. Seema Jayachandran & Ilyana Kuziemko, 2011. "Why Do Mothers Breastfeed Girls Less than Boys? Evidence and Implications for Child Health in India," The Quarterly Journal of Economics, Oxford University Press, vol. 126(3), pages 1485-1538.
    9. Duraisamy, P. & Malathy, R., 1990. "Impact Of Public Programs On Fertility And Gender Specific Investment In Human Capital Of Children In Rural India: Cross Sectional And Time Series Analysis," Papers 596, Yale - Economic Growth Center.
    10. Frost, Michelle Bellessa & Forste, Renata & Haas, David W., 2005. "Maternal education and child nutritional status in Bolivia: finding the links," Social Science & Medicine, Elsevier, vol. 60(2), pages 395-407, January.
    11. Raj Chetty & John N. Friedman & Jonah E. Rockoff, 2014. "Measuring the Impacts of Teachers I: Evaluating Bias in Teacher Value-Added Estimates," American Economic Review, American Economic Association, vol. 104(9), pages 2593-2632, September.
    12. Silvia Helena Barcellos & Leandro S. Carvalho & Adriana Lleras-Muney, 2014. "Child Gender and Parental Investments in India: Are Boys and Girls Treated Differently?," American Economic Journal: Applied Economics, American Economic Association, vol. 6(1), pages 157-189, January.
    13. Borooah, Vani K., 2004. "Gender bias among children in India in their diet and immunisation against disease," Social Science & Medicine, Elsevier, vol. 58(9), pages 1719-1731, May.
    14. Rania Roushdy, 2004. "Intrahousehold Resource Allocation in Egypt: Does Women’s Empowerment Lead to Greater Investments in Children?," Working Papers 0410, Economic Research Forum, revised 01 2004.
    15. Shroff, Monal R. & Griffiths, Paula L. & Suchindran, Chirayath & Nagalla, Balakrishna & Vazir, Shahnaz & Bentley, Margaret E., 2011. "Does maternal autonomy influence feeding practices and infant growth in rural India?," Social Science & Medicine, Elsevier, vol. 73(3), pages 447-455, August.
    16. Sophia Rabe-Hesketh & Anders Skrondal & Andrew Pickles, 2004. "Generalized multilevel structural equation modeling," Psychometrika, Springer;The Psychometric Society, vol. 69(2), pages 167-190, June.
    17. Smith, Lisa C. & Ramakrishnan, Usha & Ndiaye, Aida & Haddad, Lawrence James & Martorell, Reynaldo, 2003. "The importance of women's status for child nutrition in developing countries:," Research reports 131, International Food Policy Research Institute (IFPRI).
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    Cited by:

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    2. Peng Nie & Anu Rammohan & Wencke Gwozdz & Alfonso Sousa-Poza, 2019. "Changes in Child Nutrition in India: A Decomposition Approach," IJERPH, MDPI, vol. 16(10), pages 1-22, May.
    3. Azka Rehman & Qing Ping & Amar Razzaq, 2019. "Pathways and Associations between Women’s Land Ownership and Child Food and Nutrition Security in Pakistan," IJERPH, MDPI, vol. 16(18), pages 1-18, September.
    4. Ray, Rita, 2020. "Mother’s autonomy and child anemia: A case study from India," Children and Youth Services Review, Elsevier, vol. 112(C).
    5. Nguyen-Phung, Hang Thu, 2023. "The impact of maternal education on child mortality: Evidence from an increase tuition fee policy in Vietnam," International Journal of Educational Development, Elsevier, vol. 96(C).
    6. James Manley & Vanya Slavchevska, 2019. "Are cash transfers the answer for child nutrition in sub‐Saharan Africa? A literature review," Development Policy Review, Overseas Development Institute, vol. 37(2), pages 204-224, March.

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    More about this item

    Keywords

    Child Nutrition; Maternal Autonomy; Latent Factor Models; Empirical Bayes; India; National Family Health Survey. JEL Classification: C38; I14; I18;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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