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Effect of demand and supply side factors on school education outcomes in India

Author

Listed:
  • Surabhi Garg

    (Indira Gandhi Institute of Development Research)

  • Srijit Mishra

    (Indira Gandhi Institute of Development Research)

Abstract

A novelty of this study is to examine the effect of both demand and supply side factors on school education outcomes in India for 6-18 age group in 2019 by combining three different data sets, viz., Time Use Survey (TUS) 2019, Unified District Information Systems for Education Plus (UDISE+) 2019-20, and sub-group consistent population for 2019 extrapolated from Census of India. The proxies for demand side factors are gender, caste, religion and parents' education and the proxies for supply side factors are pupil-teacher ratio, infrastructure facilities and number of schools per school going age population. A two-stage Heckman Selection Model is used for the analysis. The model does a probit estimation at the first stage, with the dependent variable as whether the child attended the school or not. At the second stage, a least square estimation is done with the dependent variable as instructional time of the child in school. It is observed that both demand and supply side factors affect the probability of a child attending the school. However, at the second stage, it is observed that a higher number of proxies for supply side factors turn out to be significant in affecting the instructional time spent by the child in school. Given that the two-stage Heckman regression is based on the premise that higher instructional school time is associated with better education outcomes, it is difficult to place a cap on school time, especially for children with different characteristics and capabilities. Instead, a cap on the time mandated by schools is used for a robustness check. These estimation results also resonate with the baseline analysis. To wit, while both demand and supply side factors are relevant, the role of the State in facilitating the supply side factors has important public policy implications.

Suggested Citation

  • Surabhi Garg & Srijit Mishra, 2024. "Effect of demand and supply side factors on school education outcomes in India," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2024-013, Indira Gandhi Institute of Development Research, Mumbai, India.
  • Handle: RePEc:ind:igiwpp:2024-013
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    1. Esther Duflo, 2001. "Schooling and Labor Market Consequences of School Construction in Indonesia: Evidence from an Unusual Policy Experiment," American Economic Review, American Economic Association, vol. 91(4), pages 795-813, September.
    2. Kingdon, Geeta, 1996. "The Quality and Efficiency of Private and Public Education: A Case-Study of Urban India," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 58(1), pages 57-82, February.
    3. Jean Drèze & Geeta Gandhi Kingdon, 2001. "School Participation in Rural India," Review of Development Economics, Wiley Blackwell, vol. 5(1), pages 1-24, February.
    4. Zakir Husain & Swagata Sarkar, 2011. "Gender Disparities in Educational Trajectories in India: Do Females Become More Robust at Higher Levels?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 101(1), pages 37-56, March.
    5. Matt Dickson & Paul Gregg & Harriet Robinson, 2016. "Early, Late or Never? When Does Parental Education Impact Child Outcomes?," Economic Journal, Royal Economic Society, vol. 126(596), pages 184-231, October.
    6. 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.
    7. Deon Filmer, 2007. "If you build it, will they come? School availability and school enrolment in 21 poor countries," Journal of Development Studies, Taylor & Francis Journals, vol. 43(5), pages 901-928.
    8. Adriana D. Kugler & Santosh Kumar, 2017. "Preference for Boys, Family Size, and Educational Attainment in India," Demography, Springer;Population Association of America (PAA), vol. 54(3), pages 835-859, June.
    9. Victor Lavy, 2015. "Do Differences in Schools' Instruction Time Explain International Achievement Gaps? Evidence from Developed and Developing Countries," Economic Journal, Royal Economic Society, vol. 125(588), pages 397-424, November.
    10. Handa, Sudhanshu, 2002. "Raising primary school enrolment in developing countries: The relative importance of supply and demand," Journal of Development Economics, Elsevier, vol. 69(1), pages 103-128, October.
    11. Matt Dickson & Paul Gregg & Harriet Robinson, 2016. "Early, Late or Never? When Does Parental Education Impact Child Outcomes?," Economic Journal, Royal Economic Society, vol. 126(596), pages 184-231.
    12. Takashi KUROSAKI & Seiro ITO & Nobuhiko FUWA & Kensuke KUBO & Yasuyuki SAWADA, 2006. "Child Labor And School Enrollment In Rural India: Whose Education Matters?," The Developing Economies, Institute of Developing Economies, vol. 44(4), pages 440-464, December.
    13. Duraisamy, P., 2002. "Changes in returns to education in India, 1983-94: by gender, age-cohort and location," Economics of Education Review, Elsevier, vol. 21(6), pages 609-622, December.
    14. Bhatnagar, Abhishek & Jaiswal, Animesh & Jain, Ansh & Bolia, Nomesh B., 2022. "An analysis of key indicators for enhancing school performance: Evidences from India," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    15. Geeta Gandhi Kingdon, 2020. "The Private Schooling Phenomenon in India: A Review," Journal of Development Studies, Taylor & Francis Journals, vol. 56(10), pages 1795-1817, October.
    16. Ermisch, John & Pronzato, Chiara, 2010. "Causal effects of parents’ education on children’s education," ISER Working Paper Series 2010-16, Institute for Social and Economic Research.
    17. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    18. Vani Borooah & Sriya Iyer, 2005. "Vidya, Veda, and Varna: The influence of religion and caste on education in rural India," Journal of Development Studies, Taylor & Francis Journals, vol. 41(8), pages 1369-1404.
    19. Kumar, Deepak & Choudhury, Pradeep Kumar, 2021. "Do private schools really produce more learning than public schools in India? Accounting for student’s school absenteeism and the time spent on homework," International Journal of Educational Development, Elsevier, vol. 83(C).
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    More about this item

    Keywords

    Demand Side Factors; Heckman Selection Model; India; School Education Outcomes; Supply Side Factors;
    All these keywords.

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development

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