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Does Economic Class Affect Educational Achievement in India?

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  • Shishir Roy

Abstract

This article examines how economic class disparities shape learning outcomes among children. It uses data from the India Human Development Survey-II (IHDS-II), 2011–2012 to analyse the gap in educational achievement in reading, writing and mathematics between classes for children aged 8–11 in India. Additionally, it considers the impact of household conducive factors, child effort variables and school factors that contribute to achievement as well as in reducing the gaps between the socio-economic classes. The results indicate a substantial test score gap between the groups, with the gap between the comfortable and poor classes being 2.5 times higher than the gap between the comfortable and middle class. After taking into account the socio-economic status index, we find that there is a 50% reduction in the test scores gap between the wealthy and the poor class, and that the gap between the comfortable and middle classes is no longer significant in any test scores. Even after accounting for all covariates, the gap between the wealthy and poor classes is still significant in mathematics and writing; however, middle-class children perform marginally better than those from the comfortable class in reading.

Suggested Citation

  • Shishir Roy, 2025. "Does Economic Class Affect Educational Achievement in India?," Indian Journal of Human Development, , vol. 19(2), pages 264-281, August.
  • Handle: RePEc:sae:inddev:v:19:y:2025:i:2:p:264-281
    DOI: 10.1177/09737030251415243
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    References listed on IDEAS

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    1. Lai, Fang, 2010. "Are boys left behind? The evolution of the gender achievement gap in Beijing's middle schools," Economics of Education Review, Elsevier, vol. 29(3), pages 383-399, June.
    2. Chris Sakellariou, 2008. "Peer effects and the indigenous/non-indigenous early test-score gap in Peru," Education Economics, Taylor & Francis Journals, vol. 16(4), pages 371-390.
    3. Abhijit V. Banerjee & Esther Duflo, 2008. "What Is Middle Class about the Middle Classes around the World?," Journal of Economic Perspectives, American Economic Association, vol. 22(2), pages 3-28, Spring.
    4. Geeta Gandhi Kingdon, 2007. "The progress of school education in India," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 23(2), pages 168-195, Summer.
    5. Abhijit V. Banerjee & Esther Duflo, 2007. "The Economic Lives of the Poor," Journal of Economic Perspectives, American Economic Association, vol. 21(1), pages 141-168, Winter.
    6. Dhiman Das, 2019. "Academic Resilience Among Children from Disadvantaged Social Groups in India," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 145(2), pages 719-739, September.
    7. Abhijit V. Banerjee & Shawn Cole & Esther Duflo & Leigh Linden, 2007. "Remedying Education: Evidence from Two Randomized Experiments in India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1235-1264.
    8. Gary S. Becker, 1964. "Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education, First Edition," NBER Books, National Bureau of Economic Research, Inc, number beck-5, December.
    9. Charles T. Clotfelter & Helen F. Ladd & Jacob L. Vigdor, 2006. "Teacher-Student Matching and the Assessment of Teacher Effectiveness," Journal of Human Resources, University of Wisconsin Press, vol. 41(4).
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