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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.

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  • 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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    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.
    2. 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, June.
    3. Brown, Philip H. & Park, Albert, 2002. "Education and poverty in rural China," Economics of Education Review, Elsevier, vol. 21(6), pages 523-541, December.
    4. 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.
    5. Mike, Ibrahim Okumu & Nakajjo, Alex & Isoke, Doreen, 2016. "Socioeconomic Determinants of Primary School Drop Out: The Logistic Model Analysis," African Journal of Economic Review, African Journal of Economic Review, vol. 4(1), January.
    6. Nadeem A. Burney & Mohammad Irfan, 1991. "Parental Characteristics, Supply of Schools, and Child School-enrolment in Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 30(1), pages 21-62.
    7. Reimers, Cordelia W, 1983. "Labor Market Discrimination against Hispanic and Black Men," The Review of Economics and Statistics, MIT Press, vol. 65(4), pages 570-579, November.
    8. 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.
    9. Mathia Sinning & Markus Hahn & Thomas K. Bauer, 2008. "The Blinder–Oaxaca decomposition for nonlinear regression models," Stata Journal, StataCorp LP, vol. 8(4), pages 480-492, December.
    10. 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.
    11. 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.
    12. Cotton, Jeremiah, 1988. "On the Decomposition of Wage Differentials," The Review of Economics and Statistics, MIT Press, vol. 70(2), pages 236-243, May.
    13. Thomas Bauer & Mathias Sinning, 2008. "An extension of the Blinder–Oaxaca decomposition to nonlinear models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 92(2), pages 197-206, May.
    14. Saswati Das & Diganta Mukherjee, 2007. "Role of women in schooling and child labour decision: the case of urban boys in India," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 82(3), pages 463-486, July.
    15. Rosenzweig, Mark R & Schultz, T Paul, 1982. "Market Opportunities, Genetic Endowments, and Intrafamily Resource Distribution: Child Survival in Rural India," American Economic Review, American Economic Association, vol. 72(4), pages 803-815, September.
    16. Diganta Mukherjee & Saswati Das, 2008. "Role of Parental Education in Schooling and Child Labour Decision: Urban India in the Last Decade," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 89(2), pages 305-322, November.
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    More about this item

    Keywords

    discrimination; disparity; gender; Oaxaca decomposition; school education; India;
    All these keywords.

    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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