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Mother's effective literacy status: Implications on child health

Author

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  • Surabhi Garg

    (Indira Gandhi Institute of Development Research)

  • Srijit Mishra

    (University of Hyderabad)

Abstract

Mother's effective literacy status has instrumental importance in affecting child's health outcomes. This is not to dismiss the relevance of a father's literacy, but to posit a primitive that the father's literacy is by-and-large channelled through the mother. Having said that, the current analysis is an attempt to capture the impact of mother's effective literacy status (mother has the advantage of dual literacy - her own and that of the child's father, mother is literate but the child's father is illiterate, mother is proximate illiterate by being in proximity to the child's father who is literate, mother is secluded illiterate as neither she nor the child's father are literate) on child health outcomes. To begin with, we use Triplots to depict the percentage of children under 5 years of age with severity of anaemia, stunting, wasting and underweight for different effective literacy status of mother in India. Further, multinomial logit model is used to examine the effect of mother's effective literacy status on children below 5 years of age for rural and urban India. The results show that, compared to mother's secluded illiteracy, mother being proximate illiterate, literate alone or dual literate affect child health significantly for all the four health indicators in rural areas and for stunting and underweight in urban areas. Further, the effect of mother's dual literacy status is more pronounced than when literate alone, which is higher than when she is proximate illiterate. We further test for the differential effect of effective literacy status of mother with respect to the gender of the child and the level of education of the literate parent. It is also observed that that higher level of education of the literate parent is associated with lower log-odds of the child being unhealthy vis-…-vis healthy in both rural and urban areas.

Suggested Citation

  • Surabhi Garg & Srijit Mishra, 2025. "Mother's effective literacy status: Implications on child health," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2025-009, Indira Gandhi Institute of Development Research, Mumbai, India.
  • Handle: RePEc:ind:igiwpp:2025-009
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    References listed on IDEAS

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    1. Teitler, Julien O., 2001. "Father involvement, child health and maternal health behavior," Children and Youth Services Review, Elsevier, vol. 23(4-5), pages 403-425.
    2. Strauss, John & Thomas, Duncan, 1995. "Human resources: Empirical modeling of household and family decisions," Handbook of Development Economics, in: Hollis Chenery & T.N. Srinivasan (ed.), Handbook of Development Economics, edition 1, volume 3, chapter 34, pages 1883-2023, Elsevier.
    3. Paul, Sohini & Paul, Sourabh & Gupta, Ashish Kumar & James, K.S., 2022. "Maternal education, health care system and child health: Evidence from India," Social Science & Medicine, Elsevier, vol. 296(C).
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    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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