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Household Headship and Academic Skills of Indian Children: A Special Focus on Gender Disparities

Sexe du chef de ménage et compétences scolaires des enfants indiens : une analyse des disparités entre sexe

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Abstract

Using multivariate analyses and reading, mathematics and writing scores of children (aged 8–11 years) from a nationally representative sample, we find that children from female headed households either perform better or similar, but never worse than those from male headed households. Also, household fixed effect analysis reveals no gender disparity in academic scores of children belonging to female headed households, a case not true for children from male headed households. We relate this finding to gender parity in educational expenditure on children in female headed households against gender disparity in the same in households headed by males. Based on our findings we also offer some policy suggestions.

Résumé

Les résultats de cet article, basés sur les scores obtenus en lecture, en mathématiques et en écriture par des enfants indiens (âgés de 8 à 11 ans) dans le cadre d’une enquête représentative au niveau national, et sur l’utilisation de méthodes d’analyses multivariées, montrent que les enfants appartenant à des ménages dirigés par des femmes ont des niveaux de performance soit meilleurs soit similaires, mais jamais inférieurs à ceux d’enfants appartenant à des ménages dirigés par des hommes. De plus, une analyse avec effets fixes ne révèle aucune différence selon le sexe dans les scores scolaires des enfants des ménages dont le chef est une femme, ce qui n’est pas le cas des enfants des ménages dont le chef est un homme. Ce résultat pourrait être la conséquence de dépenses scolaires égales pour les garçons et pour les filles dans les ménages dirigés par les femmes, ce qui ne serait pas le cas dans les ménages dirigés par les hommes. A partir de ces résultats, quelques implications en termes de politiques sont également suggérées.

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Notes

  1. India suffers from substantial gender based discrimination in schooling, health, nutrition, wages and labor force participation and access to physical and financial resources (World Bank 1991; Bhan 2001; Pande 2003; Borooah 2004; Mishra et al. 2004; Reilly and Datta 2005; Agrahari and Singh 2009).

  2. Similar tests were also used in PRATHAM’s survey, the Annual Status of Education Report (ASER), 2005. The ASER results are based on a large sample of children but do not contain detailed information about their social background and parental characteristics.

  3. Castes in the Indian context are related to “Jatis” (and “upajatis” or subcastes) and “Varna”. The ancient Varna system divided the Hindu society into initially four, later five, distinct “Varnas” or castes that are mutually exclusive, hereditary, endogamous, and occupation specific. These castes are the Brahmins (priests), Kshatriyas (warriors), Vaisyas (traders and merchants), and Sudras (those engaged in menial jobs) and those doing the most despicable menial jobs — the Ati-Sudras, the former untouchables. However, the operative category that determines the contemporary social code is the “Jati”. Jatis are also castes (and share the basic characteristics of the Varna), with individuals of different jatis lying at different levels of development and welfare (Deshpande, 2000, 2001, p. 131). The Government of India has categorized the different “Jatis” into four categories—Scheduled Castes (SC), Scheduled Tribes (ST), Other Backward Classes (OBC) and Others (OC or upper castes).There has been considerable evidence of SCs and STs having suffered severe discrimination and atrocities on the hand of upper castes of Indian society. The Constitution of India abolished the practice of untouchability and prohibits any discrimination on the basis of caste. The Government of India imbibes the principle of social equality and implements affirmative policies in terms of positive discrimination (compensatory discrimination) favoring the lower castes (SC, ST and OBC) and categorizes the different Jatis into four caste categories, namely, SC, ST, Other Backward Classes (OBC), and Other Castes (OC). The social and economic condition of SC/STs has been historically poorest in India followed by OBCs whose conditions were poorer than the OCs (other castes or upper castes).

  4. At the first analytical level (the overall sample) we have three categories of household type, that is, male headed, married female headed and widowed female headed and the household type itself has been included as a categorical variable (with the above three categories) in the analysis; but at the second level, where we perform separate analyses on sub-samples by household types, we are combining the married female headed households with widowed female headed households to get the sample of female headed households. It would have been desirable here to conduct the analysis separately for married female headed households and widowed female headed households but the resulting sub-samples are small in size resulting in inadequate variation in the other factors in the subsamples and therefore don’t permit such separation.

  5. If we observe the average age of the household heads (Table 1), we find that the married female heads (38.2 years) are younger than the widowed female heads (53.4 years). Since, schooling in India has improved over time, the age difference between the married female heads and the widowed female heads might explain the higher educational level of married female heads compared to the widowed female heads.

References

  • Agrahari, K., & Singh, A. (2009). Do community factors have differential impact on the nutrition of boys and girls in rural India? Demography India, 38(1), 117–134.

    Google Scholar 

  • Aslam, M. (2007). Female autonomy and gender gaps in education in Pakistan. Cambridge University (RECOUP) working paper 3.

  • Behrman, J. R., & Deolalikar, A. B. (1993). Unobserved household and community heterogeneity and the labor market impact of schooling: A case study for Indonesia. Economic Development and Cultural Change, 41(3), 461–488.

    Article  Google Scholar 

  • Behrman, J. R., Foster, A., Rosenzweig, M. R., & Vahsishtha, P. (1999). Women’s schooling, home teaching, and economic growth. Journal of Political Economy, 107(4), 682–715.

    Article  Google Scholar 

  • Bhan, G. (2001). India gender profile. Institute of Development Studies: University of Sussex, BRIDGE Report. 62.

    Google Scholar 

  • Borooah, V. (2004). Gender bias among children in India in their diet and immunization against disease. Social Science and Medicine, 58(9), 1719–1731.

    Article  Google Scholar 

  • Cameron, A. C., & Trivedi, P. K. (2005). Microeconometrics: Methods and applications. Cambridge: New York.

    Book  Google Scholar 

  • Census Commissioner of India. (2001). Census data 2001 (data highlights_HH567). New Delhi: Census Commissioner.

    Google Scholar 

  • Chudgar, A. (2009). Does adult literacy have a role to play in addressing the universal elementary education challenge in India? Comparative Education Review, 53(3), 403–433.

    Article  Google Scholar 

  • Chudgar, A. (2011). Female headship and schooling outcomes in rural India. World Development, 39(4), 550–560.

    Article  Google Scholar 

  • Coalition for Sustainable Nutrition Security for India (CSNSI). (2008). Overcoming the curse of malnutrition in India: A leadership agenda for action. New Delhi: Secretariat.

    Google Scholar 

  • Consortium for Research on Educational Access, Transitions and Equity (CREATE). (2011). Making rights realities: researching educational access, transitions and equity. East Sussex: University of Sussex.

    Google Scholar 

  • Desai, S., Adams, C. D., & Dubey, A. (2008). Segmented schooling: inequalities in primary education. IHDS working paper 6.

  • Desai, S., Dubey, A., Joshi, B. L., Sen, M., Shariff, A., & Vanneman, R. (2009) India Human Development Survey: design and data quality. IHDS technical paper 1.

  • Desai, S., Dubey, A., Joshi, B., Sen, M., Shariff, A., & Vanneman, R. D. (2010). Human development in India: challenges for a society in transition. New Delhi: Oxford University Press.

    Google Scholar 

  • Deshpande, A. (2000). Recasting economic inequality. Review of Social Economy, LVIII(3), 381–399.

    Article  Google Scholar 

  • Deshpande, A. (2001). Caste at birth? Redefining disparity in India. Review of Development Economics, 5(1), 130–144.

    Article  Google Scholar 

  • Dreze, J., & Kingdon, G. G. (2001). School participation in rural India. Review of Developmental Economies, 5(1), 1–24.

    Article  Google Scholar 

  • Dreze, J., & Srinivasan, P. V. (1997). Widowhood and poverty in rural India: some inferences from household survey data. Journal of Development Economics, 54(2), 217–234.

    Article  Google Scholar 

  • Glick, P., & Sahn, D. E. (2000). Schooling of girls and boys in a West African country: the effects of parental education, income and household structure. Economics of Education Review, 19(1), 63–87.

    Article  Google Scholar 

  • Govinda, R., & Bandyopadhyay, M. (2008). Access to elementary education in India: Country analytical review. New Delhi: National University of Educational Planning and Administration.

    Google Scholar 

  • Handa, S. (1996). Expenditure behaviour and children’s welfare: an analysis of female headed households in Jamaica. Journal of Development Economics, 50(1), 165–187.

    Article  Google Scholar 

  • Hoddinott, J., & Haddad, L. (1995). Does female income share influence household expenditures? Evidence from Cote D’Ivoire. Oxford Bulletin of Economics and Statistics, 57(1), 77–96.

    Article  Google Scholar 

  • Johnson, F. C., & Rogers, B. L. (1993). Children’s nutritional status in female headed households in the Dominican Republic. Social Science and Medicine, 37(11), 1293–1301.

    Article  Google Scholar 

  • Joshi, S. (2006). Female household-headship in rural Bangladesh: incidence, determinants and impact on children’s schooling. Yale University Growth Centre discussion paper 894.

  • Kambhampati, U. S., & Pal, S. (2001). Role of parental literacy in explaining gender difference: evidence from child schooling in India. The European Journal of Development Research, 13(2), 97–119.

    Article  Google Scholar 

  • Lam, D., & Duryea, S. (1999). Effects of schooling on fertility, labor supply and investments in children, with evidence from Brazil. Journal of Human Resources, 34(1), 160–192.

    Article  Google Scholar 

  • Llyod, C. B., & Blanc, A. K. (1996). Children’s schooling in Sub-Saharan Africa: the role of fathers, mothers and others. Population and Development Review, 22(2), 265–298.

    Article  Google Scholar 

  • Meenakshi, J. V., Ray, R., & Gupta, S. (2000). Estimates of poverty for SC, ST and female headed households. Economic and Political Weekly, 35(31), 2748–2754.

    Google Scholar 

  • Mishra, V., Roy, T. K., & Retherford, R. (2004). Sex differentials in childhood feeding, health care and nutritional status in India. Population and Development Review, 30(2), 269–295.

    Article  Google Scholar 

  • Pande, R. (2003). Selective gender differences in childhood nutrition and immunization in rural India: The role of siblings. Demography, 40(3), 395–418.

    Article  Google Scholar 

  • Peter, G., & Sahn, D. E. (1999). Schooling of girls and boys in a West African country: the effects of parental education, income, and household structure. Economics of Education Review, 19(1), 63–87.

    Google Scholar 

  • Phillips, S. A., & Burton, P. S. (1998). What’s mine is yours? The influence of male and female incomes on patterns of household expenditure. Economica, 65(260), 593–613.

    Google Scholar 

  • Quisumbing, A., & Maluccio, J. (2000). Intrahousehold allocation and gender relations: new empirical evidence from four developing countries. International Food Policy Research Institute (FCND) Discussion Paper 84.

  • Reilly, B., & Datta, P.V. (2005). The gender pay gap and trade liberalisation: Evidence for India. University of Sussex (PRUS) working paper 32.

  • Schultz, T. P. (2002). Why governments should invest more to educate girls. World Development, 30(2), 207–225.

    Article  Google Scholar 

  • Seebens, H. (2009). Child welfare and old age security in female headed households in Tanzania. IZA discussion paper no. 3929. Bonn: Institute for the Study of Labor.

  • Singh, A. (2011). Gender based intra-household inequality of opportunity in academic skills among Indian children. Economics Bulletin, 31(3), 2333–2346.

    Google Scholar 

  • Smith, L., & Byron, E. M. (2005). Is greater decision-making power of women associated with reduced gender discrimination in South Asia?. Washington DC: International Food Policy Research Institute.

    Google Scholar 

  • Tansel, A. (1997). Schooling attainment, parental education, and gender in Côte d’Ivoire and Ghana. Economic Development and Cultural Change, 45(4), 825–856.

    Article  Google Scholar 

  • Thomas, D. (1990). Intra-household resource allocation: an inferential approach. Journal of Human Resources, 25(4), 635–664.

    Article  Google Scholar 

  • Thomas, D. (1993). The distribution of income and expenditure within the household. Annals of Economics and Statistics, 29(Jan–Mar), 109–136.

    Google Scholar 

  • UNESCO Institute for Statistics (UIS). (2005). Children out of school: Measuring exclusion from primary education. Montreal: UIS.

    Google Scholar 

  • Unisa, S., & Datta, N. (2005). Female headship in India: Levels, differentials and impact. Paper presented at International Union for the Scientific Study of Population, 15th International Population Conference, France.

  • Visaria, P., & Visaria, L. (1985). Indian households with female heads: Their incidence, characteristics and level of living. In D. Jain & N. Banerjee (Eds.), Tyranny of the household (pp. 50–83). New Delhi: Shakthi Books.

    Google Scholar 

  • Weir, S. (2005). An examination of some mechanisms underlying externality benefits of girls’ schooling. Journal of Population Economics, 20(1), 203–222.

    Article  Google Scholar 

  • World Bank. (1991). Gender and poverty in India: A World Bank country study. Washington DC: The World Bank.

    Google Scholar 

Download references

Acknowledgments

We are grateful for valuable comments and suggestions from the conference participants at the annual meeting of Population Association of America (2012) at San Francisco. We also express our thanks to the two anonymous reviewers and the editor for comments and suggestions on earlier drafts. This article was written when Ashish Singh and Sarthak Gaurav were PhD candidates at the Indira Gandhi Institute of Development Research, Mumbai, India.

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Singh, A., Gaurav, S. & Das, U. Household Headship and Academic Skills of Indian Children: A Special Focus on Gender Disparities . Eur J Population 29, 445–466 (2013). https://doi.org/10.1007/s10680-013-9288-3

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