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Gender disparities in completing school education in India: Analyzing regional variations

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  • Husain, Zakir

Abstract

Is gender disparity greater in North India? This paper seeks to answer this question by examining gender differences in probability of completing school education across regions in India. A Gender Disparity Index is calculated using National Sample Survey Organization unit level data from the 61st Round and regional variations in this index analyzed to examine the hypothesis that gender disparity is greater in the North, comparative to the rest of India. This is followed by an econometric exercise using a logit model to confirm the results of the descriptive analysis after controlling for socio-economic correlates of completing school education. Finally, the Fairlie decomposition method is used to estimate the contribution of explanatory variables in explaining differences in probabilities of completing schooling across regions. The results reveal that gender disparities are greater in North India, for total and rural population, and in Eastern India, for urban population. However, the ‘residual effect’ after accounting for effect of explanatory variables - often referred to as ‘discrimination effect’, as opposed to disparity – is higher in Eastern India, irrespective of the place of residence.

Suggested Citation

  • Husain, Zakir, 2010. "Gender disparities in completing school education in India: Analyzing regional variations," MPRA Paper 25748, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:25748
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    File URL: https://mpra.ub.uni-muenchen.de/25748/1/MPRA_paper_25748.pdf
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    References listed on IDEAS

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    1. Sonalde Desai & Veena Kulkarni, 2008. "Changing educational inequalities in india in the context of affirmative action," Demography, Springer;Population Association of America (PAA), vol. 45(2), pages 245-270, May.
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    3. G. Gandhi Kingdon, 2002. "The Gender Gap in Educational Attainment in India: How Much Can Be Explained?," Journal of Development Studies, Taylor & Francis Journals, vol. 39(2), pages 25-53.
    4. Lupin Rahman & Vijayendra Rao, 2004. "The Determinants of Gender Equity in India: Examining Dyson and Moore's Thesis with New Data," Population and Development Review, The Population Council, Inc., vol. 30(2), pages 239-268.
    5. Brown, Philip H. & Park, Albert, 2002. "Education and poverty in rural China," Economics of Education Review, Elsevier, vol. 21(6), pages 523-541, December.
    6. Okumu, Ibrahim Mike & Nakajjo, Alex & Isoke, Doreen, 2008. "Socioeconomic determinants of primary school dropout: The logistic model analysis," Research Series 93855, Economic Policy Research Centre (EPRC).
    7. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    8. Connelly, Rachel & Zheng, Zhenzhen, 2003. "Determinants of school enrollment and completion of 10 to 18 year olds in China," Economics of Education Review, Elsevier, vol. 22(4), pages 379-388, August.
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    11. Oaxaca, Ronald L. & Ransom, Michael R., 1994. "On discrimination and the decomposition of wage differentials," Journal of Econometrics, Elsevier, vol. 61(1), pages 5-21, March.
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    More about this item

    Keywords

    discrimination; disparity; gender; Oaxaca decomposition; school education; India;

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • 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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