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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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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 25748.

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Date of creation: 26 Sep 2010
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Handle: RePEc:pra:mprapa:25748

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

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  1. 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.
  2. 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).
  3. Okumu, Ibrahim M. & Nakajjo, Alex & Isoke, Doreen, 2008. "Socioeconomic determinants of primary school dropout: the logistic model analysis," MPRA Paper 7851, University Library of Munich, Germany.
  4. 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.
  5. 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.
  6. Sonalde Desai & Veena Kulkarni, 2008. "Changing educational inequalities in india in the context of affirmative action," Demography, Springer, vol. 45(2), pages 245-270, May.
  7. 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.
  8. Saswati Das & Diganta Mukherjee, 2007. "Role of women in schooling and child labour decision: the case of urban boys in India," Social Indicators Research, Springer, vol. 82(3), pages 463-486, July.
  9. Brown, Philip H. & Park, Albert, 2002. "Education and poverty in rural China," Economics of Education Review, Elsevier, vol. 21(6), pages 523-541, December.
  10. Diganta Mukherjee & Saswati Das, 2008. "Role of Parental Education in Schooling and Child Labour Decision: Urban India in the Last Decade," Social Indicators Research, Springer, vol. 89(2), pages 305-322, November.
  11. Thomas Bauer & Mathias Sinning, 2008. "An extension of the Blinder–Oaxaca decomposition to nonlinear models," AStA Advances in Statistical Analysis, Springer, vol. 92(2), pages 197-206, May.
  12. 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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