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Maternal Autonomy and the Education of the Subsequent Generation: Evidence from Three Contrasting States in India

Author

Listed:
  • Alfano, Marco

    (Lancaster University)

  • Arulampalam, Wiji

    (University of Warwick)

  • Kambhampati, Uma

    (University of Reading)

Abstract

This paper makes a significant contribution on both conceptual and methodological fronts, in the analysis of the effect of maternal autonomy on school enrolment age of children in India. The school entry age is modelled using a discrete time duration model where maternal autonomy is entered as a latent characteristic, and allowed to be associated with various parental and household characteristics which also conditionally affect school entry age. The model identification is achieved by using proxy measures collected in the third round of the National Family Health Survey of India, on information relating to the economic, decision-making, physical and emotional autonomy of a woman. We concentrate on three very different states in India – Andhra Pradesh, Kerala and Uttar Pradesh. Our results indicate that female autonomy is not associated with socio-economic characteristics of the woman or her family in Kerala (except maternal education), while it is strongly correlated to these characteristics in both Andhra Pradesh and Uttar Pradesh. Secondly, while female autonomy is significant in influencing the school starting age in UP, it is less important in AP and not significant at all in Kerala.

Suggested Citation

  • Alfano, Marco & Arulampalam, Wiji & Kambhampati, Uma, 2011. "Maternal Autonomy and the Education of the Subsequent Generation: Evidence from Three Contrasting States in India," IZA Discussion Papers 6019, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp6019
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    References listed on IDEAS

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    1. Anderson, Siwan & Eswaran, Mukesh, 2009. "What determines female autonomy? Evidence from Bangladesh," Journal of Development Economics, Elsevier, vol. 90(2), pages 179-191, November.
    2. Elizabeth U. Cascio & Diane Whitmore Schanzenbach, 2016. "First in the Class? Age and the Education Production Function," Education Finance and Policy, MIT Press, vol. 11(3), pages 225-250, Summer.
    3. Joshua D. Angrist & Alan B. Keueger, 1991. "Does Compulsory School Attendance Affect Schooling and Earnings?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 979-1014.
    4. Shelah Bloom & David Wypij & Monica Gupta, 2001. "Dimensions of women’s autonomy and the influence on maternal health care utilization in a north indian city," Demography, Springer;Population Association of America (PAA), vol. 38(1), pages 67-78, February.
    5. A. Dharmalingam & S. Morgan, 2004. "Pervasive Muslim-Hindu fertility differences in India," Demography, Springer;Population Association of America (PAA), vol. 41(3), pages 529-545, August.
    6. Fran Bennett, 2002. "Gender implications of current social security reforms," Fiscal Studies, Institute for Fiscal Studies, vol. 23(4), pages 559-584, December.
    7. 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).
    8. Basu, Kaushik & Ray, Ranjan, 2002. "The collective model of the household and an unexpected implication for child labor : hypothesis and an empirical test," Policy Research Working Paper Series 2813, The World Bank.
    9. Abadian, Sousan, 1996. "Women's autonomy and its impact on fertility," World Development, Elsevier, vol. 24(12), pages 1793-1809, December.
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    Cited by:

    1. Selma Walther, 2017. "Moral hazard in marriage: the use of domestic labor as an incentive device," Review of Economics of the Household, Springer, vol. 15(2), pages 357-382, June.
    2. Itismita Mohanty & Tesfaye Alemayehu Gebremedhin, 2018. "Maternal autonomy and birth registration in India: Who gets counted?," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-19, March.
    3. Tatiana Damjanovic & Geethanjali Selvaretnam, 2020. "Economic Growth and Evolution of Gender Equality," Manchester School, University of Manchester, vol. 88(1), pages 1-36, January.
    4. Smriti Sharma & Christophe Nordman, 2016. "The power to choose: Gender balance of power and intra-household educational spending in India," WIDER Working Paper Series 061, World Institute for Development Economic Research (UNU-WIDER).
    5. Shatanjaya Dasgupta, 2016. "Son Preference and Gender Gaps in Child Nutrition: Does the Level of Female Autonomy Matter?," Review of Development Economics, Wiley Blackwell, vol. 20(2), pages 375-386, May.
    6. Christophe J. Nordman & Smriti Sharma, 2016. "The power to choose: Gender balance of power and intra-household educational spending in India," WIDER Working Paper Series wp-2016-61, World Institute for Development Economic Research (UNU-WIDER).

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    More about this item

    Keywords

    latent factor models; structural equation models; female autonomy; school enrolment decisions; India; National Family Health Survey;
    All these keywords.

    JEL classification:

    • I2 - Health, Education, and Welfare - - Education
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure
    • 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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