Abstract
Using both rounds of India Human Development Survey (2004-05 and 2011-2012) data, this study has tracked the progress of students from enrolment to completion of the secondary level of education in India. Using a logit model, we have examined how in addition to family attributes the ‘access to school resources,’ and ‘learning activities’ of a child associated with the secondary and higher secondary school completion, post-enrolment. We find that household assets, parental education, and ‘computer or Internet usage by any household member’ are major determinants of secondary and higher secondary school completion by a student. The chances of completing both levels of schooling increase with the increase in the level of household assets and parental education, but the marginal effect of both is higher for government school children relative to private school children. We also find that the stumbling block (as a backward caste and Muslims) for most students lies at the entry to secondary school particularly for government school students. We also find that the completion of higher secondary school is robust to changes in caste and religion of the student. Moreover, the probabilities of completing higher secondary school by government and private school students are almost similar for children from the ‘wealthy families.’
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Notes
- 1.
In 2010, an estimated 98.5% of children were enrolled in primary schools as compared to 83.6% a decade earlier. Not only have initial enrolments increased, but the proportion of children who finished primary education has also risen from 71.5% in 2000 to 97.1% in 2009. However, less than two-thirds of Indian children who were eligible to be enrolled in secondary school were actually enrolled by 2010.
- 2.
‘The drop-out rate in Grades I–X continues to as high as 56.7% (56.6% for boys and 57.3% for girls). In other words, only around 43 out of every 100 Grade I cohort survive up to Grade X (Government of India 2008). Moreover, the drop-out rates of 68.4% for SCs and 76.9% for STs in Grades I–X indicate a huge wastage of resources in school education in India’ (Biswal 2011, pp. 14).
- 3.
The proportional distribution of educational budget on secondary education by State and Central government in India is 33.84% and 13.99%, respectively. The sector-wise proportional distribution of educational budget in India is provided in Table 2 of the Appendix.
- 4.
Split households are those that got split from the parent household (in 2005) between the two surveys time period and they were staying in different houses in 2011. See IHDS-II User’s Guide for more information.
- 5.
The majority of students enrolled in Classes 9 and 10 were aged 12–20 years. In order to avoid the outlier problem, we have excluded students younger than 12 years or older than 20 years.
- 6.
The total number of deleted observations due to missing values is 184, i.e. 5% of the final sample.
- 7.
Under a logit model: P(Yi = 1)/1 − P(Yi = 1) = e(βˆXi) ⇒ P(Yi = 1) = e(βˆXi)/1 + e(βXi) = F(β Xi), where: Xi {Xij, j = 1, …, J represents the vector of observations, for individual ‘i’ on ‘j’ variables, and β = βj, j = 1, …, J is the associated vector of coefficient estimates (Amemiya 1981; Greene 2003).
- 8.
The data on ownership of resources as household asset index is available in IHDS 2004–05 that contains data on different variables of goods and house owned by the household, and the quality of housing. This index is based on the values of 36 different kinds of household assets like Pakka or Kaccha house, TV, fridge, car, laptop/computer, and AC, etc.
- 9.
This might be possible that the 10th class Board exam is the first Board exam that has to be cleared by an individual, where most of the marginalised sections’ students are lagging behind as compared to advantaged groups of the society, if they want to go for higher secondary level of schooling.
- 10.
Most recent debate in case of Delhi government schools analysed that public schools are performing better than private schools in Class 12 results with passing rate of 90%. However, the Delhi government schools’ data also shows that more than 40% of the students dropped out before completing 9th or 10th class. Source: https://www.newslaundry.com/2018/06/09/delhi-government-schools-print-filtering-students-aam-aadmi-party
References
Amemiya, T. (1981). Qualitative response models: A survey. Journal of Economic Literature, 19(4), 1483–1536.
Aslam, M., & Atherton, P. (2013). The shadow education sector in India and Pakistan: the determinants, benefits and equity effects of private tutoring. In: Macpherson, I., Robertson, S., Walford, G. (Eds.), Education Privatisation and Social Justice: Case Studies from Africa, South Asia and South-East Asia. Symposium Books: Oxford. 137–156.
Azam, M. (2014). Private tutoring: Evidence from India. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2526594.
Barro, R. J. (2001). Human capital and growth. The American Economic Review, 91(2), 12–17.
Battle, P. A. (1999). Home computers and school performance. The Information Society, 15(1), 1–10. https://doi.org/10.1080/019722499128628.
Becker, G. S. (1964). Human Capital: A theoretical and empirical analysis, with special reference to education. National Bureau of Economic Research, New York.
Behrman, J. R., & Rosenzweig, M. R. (2002). Does increasing women’s schooling raise the schooling of the next generation? American Economic Review, 91(1), 323–334.
Bhorkar, S., & Bray, M. (2018). The expansion and roles of private tutoring in India: From supplementation to supplantation. International Journal of Educational Development, 62, 148–156. https://doi.org/10.1016/j.ijedudev.2018.03.003.
Biswal, K. (2011). Secondary education in India: Development policies, programmes and challenges. Brighton: Consortium for Research on Educational Access, Transitions and Equity.
Björklund, A., & Salvanes, K. G. (2011). Education and family background: Mechanisms and policies. Handbook of the Economics of Education, 3(3), 201–247.
Borooah, V. K. (2001). Do children in India benefit from having mothers who are literate? New Delhi: National Council of Applied Economic Research, (No. 77).
Buchmann, C., & Hannum, E. (2001). Education and stratification in developing countries: A review of theories and research. Annual Review of Sociology, 27(1), 77–102.
Business Standard. (2018). Primary level dropout rate in India was 4.13% in 2014–15: Prakash Javadekar, Business Standard (January 4). https://www.business-standard.com/article/current-affairs/primary-level-dropout-rate-in-india-was-4-13-in-2014-15-prakash-javadekar-118010400732_1.html.
Cameron, S. V., & Heckman, J. J. (1998). Life cycle schooling and dynamic selection bias: Models and evidence for five cohorts of American males. Journal of Political Economy, 106(2), 262–333.
Checchi, D. (2006). The economics of education: Human capital, family background and inequality. Cambridge University Press.
Conger, R. D., & Donnellan, M. B. (2007). An interactionist perspective on the socio-economic context of human development. Annual Review of Psychology, 58, 175–199.
Duncan, G., & Murnane, R. (2011). Whither opportunity? Rising inequality, schools, and children’s life chances. New York: Russell Sage Foundation.
Duraisamy, P. (1998). Morbidity in Tamil Nadu: Levels, differentials and determinants. Economic and Political Weekly, 982–990.
Filmer, D., & Pritchett, L. (1999). Educational enrollment and attainment in India: Household wealth, gender, village, and state effects. Journal of Educational Planning and Administration,13(2), 135–164.
Government of India. (2008). School Education Statistics 2007–08. New Delhi: Ministry of Human Resource Development.
Greene, W. H. (2003). Econometric analysis. Upper Saddle River. NJ: Prentice Hall.
Hanushek, E. A., & Woessmann, L. (2015). The knowledge capital of nations: Education and the economics of growth. MIT Press.
Haveman, R., & Wolfe, B. (1995). The determinants of children’s attainments: A review of methods and findings. Journal of Economic Literature, 33(4), 1829–1878.
Huang, J. (2013). Inter-generational transmission of educational attainment: The role of household assets. Economics of Education Review, 33, 112–123.
Huang, J., Guo, B., Kim, Y., & Sherraden, M. (2010). Parental income, assets, borrowing constraints and children’s post-secondary education. Children and Youth Services Review, 32(4), 585–594.
Kerawalla, L., & Crook, C. (2002). Children’s computer use at home and at school: Context and continuity. British Educational Research Journal, 28(6), 751–771.
Kim, Y., & Sherraden, M. (2011). Do parental assets matter for children’s educational attainment? Evidence from mediation tests. Children and Youth Services Review, 33(6), 969–979.
Kingdon, G. G. (2007). The progress of school education in India. Oxford Review of Economic Policy, 23(2), 168–195.
Lee, S., Brescia, W., & Kissinger, D. (2009). Computer use and academic development in secondary schools. Computers in the Schools, 26(3), 224–235.
Lewin, K. M. (2011). Expanding access to secondary education: Can India catch up? International Journal of Educational Development, 31(4), 382–393.
Lillard, L. A., & Willis, R. J. (1994). Inter-generational educational mobility: Effects of family and state in Malaysia. Journal of Human Resources, 1126–1166.
Long, J., & Freese, J. (2006). Regression Models for Categorical Dependent Variables Using Stata (2nd ed.). College Station, TX: Stata Press.
Maitra, P. (2003). Schooling and educational attainment: Evidence from Bangladesh. Education Economics, 11(2), 129–153.
Maitra, P., & Sharma, A. (2009, November). Parents and children: Education across generations in India. In 5th Annual Conference on Economic Growth and Development. Delhi: Indian Statistical Institute, Delhi.
Majumdar, M. (2014). The shadow school system and new class divisions in India. Working Paper Series, TRG Poverty & Education, Max Weber Stiftung, London.
Majumdar, M. (2018). Access, success, and excess: debating shadow education in India. In: Kumar, K. (Ed.), Routledge Handbook on Education in India: Debates, Practices and Policies. Routledge: New York. 273–284.
Nam, Y., & Huang, J. (2009). Equal opportunity for all? Parental economic resources and children’s educational attainment. Children and Youth Services Review, 31(6), 625–634.
NCRWC. (2002). Report of the National Commission to Review of the Working of the Constitution. New Delhi, Government of India.
NSSO [National Sample Survey Office]. (2016). Education in India (NSS 71st Round, January-June 2014, No.575 [75/25.2/1]. Government of India, Ministry of Statistics and Programme Implementation. New Delhi. http://admin.indiaenvironmentportal, http://org.in/files/file/education%20in%20india%20-%20nss_report.pdf.
OECD. (2010). Education at a Glance 2010: OECD Indicators. Paris. http://www.oecd.org/education/skills-beyond-school/educationataglance2010oecdindicators.html.
Salovaara, I. M. (2017). The work of tuitions: Moral infrastructure in a Delhi neighbourhood. Asian Anthropology, 16(4), 243–260.
Sengupta, P., & Guha, J. (2002). Enrolment, drop-out and grade completion of girl children in West Bengal. Economic and Political Weekly, 1621–1637.
Srinivasan, J. (2010). Demand for education in India: Sub regional study. New Delhi: Well Publication.
Tilak, J. B. G. (2002). Determinants of household expenditure on education in rural India. New Delhi: National Council of Applied Economic Research.
Tilak, J. B. G. (2003). Public Expenditure on Education in India: A Review of Trends and Emerging Issues, In: J. B. G. Tilak (ed.) Financing in India: Current Issues and Changing Perspectives (pp. 3–54). New Delhi: Ravi Books for National Institute of Educational Planning and Administration.
UNESCO. (2013). Education for All Global Monitoring Report 2013/4 Teaching and Learning: Achieving Quality for All.
White, G., Ruther, M., & Kahn, J. (2016). Educational inequality in India: An analysis of gender differences in reading and mathematics. Working Paper No. 2016-2, India Human Development Survey.
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Kumar, D. (2020). Tracking the Progress of a Child from Enrolment to Completion of Secondary Education in India. In: Tilak, J. (eds) Universal Secondary Education in India. Springer, Singapore. https://doi.org/10.1007/978-981-15-5366-0_10
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