Schooling for the Urban Poor: Insights from Urban Slums of Islamabad, Pakistan

Authors

DOI:

https://doi.org/10.29145/eer.91.02

Keywords:

child schooling, educational inequality, gender disparity, Probit model, role of CDA, urban slums

Abstract

Child schooling is a cornerstone of human capital formation, fostering economic growth, social mobility, and empowerment. It reduces inequality, enhances health outcomes, and promotes social cohesion across generations. The current study aimed to investigate the economic and demographic determinants of child schooling and gender educational disparity among slum dwellers in Islamabad, Pakistan. Despite the constitutional guarantee of free primary education, slum children remain highly disadvantaged due to poverty, poor living conditions, and administrative barriers. Primary survey data was collected from 423 households across 52 legal and illegal slums of Islamabad, targeting children aged 4–18 years to account for delayed enrollment and slow progression. Empirical results revealed that approximately 32% of school-age children are out of school, with a pronounced gender gap as female children are disproportionately excluded. Household income, expenditures, mother’s education, and the age of children significantly influence enrollment, while slum-specific factors, such as illegality of residence, frequent displacement, and discriminatory practices by schools and authorities emerge as critical barriers. The findings highlighted that while economic variables drive enrollment decisions, slum-related constraints strongly affect school choice and continuation. The study concluded that integrated policies addressing poverty, documentation barriers, and discrimination are necessary, alongside targeted interventions to improve access and quality of education in urban slums.

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Author Biographies

Muhammad Jamil, The University of Azad Jammu & Kashmir, Muzaffarabad

Professor of Economics Ghulam Ishaq Khan Memorial Chair of SBP

Eatzaz Ahmed, Iqra University Islamabad, Pakistan

Associate Dean /Professor of Economics

References

Acar, E., Gunalp, B., & Cilasun, S. M. (2016). An empirical analysis of household education expenditures in Turkey. International Journal of Educational Development, 51, 23–35. https://doi.org/10.1016/j.ijedudev.2016.03.007

Banerji, R. (2000). Poverty and primary schooling: Field studies from Mumbai and Delhi. Economic and Political Weekly, 10, 795–802.

Becker, G. S., & Lewis, H. G. (1973). On the interaction between the quantity and quality of children. Journal of Political Economy, 81(2), 279–288. https://doi.org/10.1086/260166

Bhatty, K. (1998). Educational deprivation in India: A survey of field investigations. Economic and Political Weekly, 33(28), 1858–1869.

Bryant, J. H., Marsh, D. R., Khan, K. S., D’Souza, R., Husein, K., Aslam, A., & Harnar, R. M. (1993). A developing country’s university oriented toward strengthening health systems: Challenges and results. American Journal of Public Health, 83(11), 1537–1543. https://doi.org/10.2105/AJPH.83.11.1537

Burney, N. A., & Irfan, M. (1991). Parental characteristics, supply of schools, and child school enrolment in Pakistan. The Pakistan Development Review, 30(1), 21–62. https://doi.org/10.30541/v30i1pp.21-62

Burney, N. A., & Irfan, M. (1995). Determinants of child school enrolment: Evidence from LDCs using choice-theoretic approach. International Journal of Social Economics, 22(1), 24–40. https://doi.org/10.1108/03068299510075113

Bursztyn, L., & Coffman, L. C. (2012). The schooling decision: Family preferences, intergenerational conflict, and moral hazard in the Brazilian favelas. Journal of Political Economy, 120(3), 359–397. https://doi.org/10.1086/666746

Cameron, S. (2011). Whether and where to enroll? Choosing a primary school in the slum of urban Dhaka, Bangladesh. International Journal of Educational Development, 31(4), 357–366. https://doi.org/10.1016/j.ijedudev.2011.01.004

Duraisamy, P. (1992). Gender, intra-family allocation of resources and child schooling in South India (Center Discussion Paper No. 667). Economic Growth Centre, Yale University.

Freitas, F. A. D. S., Vasconcelos, F. F., Peixoto, S. A., Hassan, M. M., Dewan, M. A. A., Albuquerque, V. H. C. D., & Filho, P. P. R. (2020). IoT system for school dropout prediction using machine learning techniques based on socioeconomic data. Electronics, 9(10), Article e1613. https://doi.org/10.3390/electronics9101613

Gueye, A. S., Audibert, M., & Delaunay, V. (2018). Can social groups impact schooling decisions? Evidence from castes in rural Senegal. World Development, 110, 307–323. https://doi.org/10.1016/j.worlddev.2018.06.002

Gurmu, E., & Etana, D. (2013). Socio-economic and demographic determinants of children’s primary school enrolment in Ethiopia. Eastern Africa Social Science Research Review, 29(1), 1–30. https://doi.org/10.1353/eas.2013.0004

Hamid, S. (1993). A micro analysis of demand-side determinants of schooling in urban Pakistan. The Pakistan Development Review, 32(4), 713–723. https://doi.org/10.30541/v32i4IIpp.713-723

Handa, S., Simler, K., & Harrower, S. (2004). Human capital, household welfare, and children’s schooling in Mozambique (Vol. 134). International Food Policy Research Institute. https://share.google/tWdEm8BFFmdaGs9Hn

Hattori, H. (2014). Demographic and socioeconomic determinants of school attendance: An analysis of household survey data.” background paper for fixing the broken promise of education for all. UNESCO Institute for Statistics (UIS). http://allinschool.org/wpcontent/uploads/2015/01/OOSC-2014-Socioeconomic-determinants-final.pdf

Iddrisu, A. M. (2014). The effect of poverty, household structure and child work on school enrolment. Journal of Education and Practice, 5(6), 145-156.

Iddrisu, A. M., Danquah, M., & Quartey, P. (2017). Analysis of school enrollment in Ghana: A sequential approach. Review of Development Economics, 21(4), 1158–1177. https://doi.org/10.1111/rode.12302

Jamal, H. (2014). Growth and income inequality effects on poverty: The case of Pakistan (1988–2011). Social Policy and Development Centre. https://spdc.org.pk/assets/upload/RR-94-Growth-and-Income-Inequality-Effects-on-Poverty-26th-Feb-15.pdf

Kemper, L., Vorhoff, G., & Wigger, B. U. (2020). Predicting student dropout: A machine learning approach. European Journal of Higher Education, 10(1), 28–47. https://doi.org/10.1080/21568235.2020.1718520

Khan, S. R., & Irfan, M. (1985). Rates of returns to education and the determinants of earnings in Pakistan. The Pakistan Development Review, 24(3/4), 671–683.

Khandker, S. R., Lavy, V., & Filmer, D. (1994). Schooling and cognitive achievements of children in Morocco: Can the government improve outcomes? World Bank. https://doi.org/10.1596/0-8213-3046-2

King, E. M., Peterson, J. R., Adioetomo, S. M., Domingo, L. J., & Syed, S. H. (1986). Change in the status of women across generations in Asia (RAND Report R-3399-RF). RAND Corporation.

Mahmood, T., Saqib, N. U., & Qasim, M. A. (2017). Parental effects on primary school enrolment under different types of household headship: Evidence from Pakistan. The Pakistan Development Review, 56(3), 249–264. https://doi.org/10.30541/v56i3pp.249-264

Motriam, S., & Osberg, L. (2012). Demand or supply for schooling in rural India? Electronic International Journal of Time Use Research, 9(1), 1–27. https://doi.org/10.13085/eIJTUR.9.1.1-27

Mughisa, F. (2006). School enrollment among urban non-slum, slum, and rural children in Kenya: Is the urban advantage eroding? International Journal of Educational Development, 26(5), 471–482. https://doi.org/10.1016/j.ijedudev.2005.09.012

Murad, S. M. W., & Kalam, A. (2013). Supply-side determinants of child labor: Evidence from urban Bangladesh. Journal of Economics and Sustainable Development, 4(6), 165–175.

Niyogisubizo, J., Liao, L., Nziyumva, E., Murwanashyaka, E., & Nshimyumukiza, P. C. (2022). Predicting student’s dropout in university classes using two-layer ensemble machine learning approach: A novel stacked generalization. Computers and Education: Artificial Intelligence, 3, Article e100066. https://doi.org/10.1016/j.caeai.2022.100066

Ogundari, K., & Abdulai A. (2014). Determinants of household’s education and healthcare spending in Nigeria: Evidence from survey data. African Development Review, 26(1), 1–14.

Olaniyan, O. (2011). The determinants of child schooling in Nigeria (AERC Research Paper 217). African Economic Research Consortium.

Osemwegie, E. E., & Amadin, F. I. (2023). Student dropout prediction using machine learning. FUDMA Journal of Sciences, 7(6), 347–353. https://doi.org/10.33003/fjs-2023-0706-2103

Putnick, D. L., & Bornstein, M. H. (2015). Is child labor a barrier to school enrollment in low- and middle-income countries? International Journal of Educational Development, 41, 112–120. https://doi.org/10.1016/j.ijedudev.2015.02.001

Quang, H. V. (2012). Determinants of educational expenditures in Vietnam. International Journal of Applied Economics, 9(1), 59–72.

Rodriguez, G., & Aravena, R. (1991, August 5–7) Socio-Economic Factors and the Transition to Low Fertility in Less Developed Countries: A Comparative Analysis [Paper presentation]. Proceedings of the Demographic and Health Surveys World Conference, Washington.

Sathar, Z. A. & Qazi, S. (1987). Variations in demographic behaviour by levels of living in Pakistan. Genus, 43(3/4), 113–136.

Sathar, Z., Crook, N., Callum, C., & Kazi, S. (1988). Women’s status and fertility change in Pakistan. Population and Development Review, 14(3), 415–432. https://doi.org/10.2307/1972196

Sattar, U., & Zhang, D. (2017). Inclusive education: Determinants of schooling in urban slums of Islamabad, Pakistan. American Journal of Sociological Research, 7(1), 39–44.

Shah, A. (2016). Determinants of slums in Islamabad: A philosophical approach. Pakistan Journal of Urban Affairs, 1(5), 35–41.

Shaikh, H. (2019, May 20). Urbanization and growth. Consortium of Development Policy Research. https://www.cdpr.org.pk/urbanization-and-growth/

Siddiqui, A., Irwin, L. G., & Hertzman, C. (2007). Total environmental assessment model of early child development. World Health Organisation. https://cdn.who.int/media/docs/default-source/documents/social-determinants-of-health/ecd-evidence-report.pdf?sfvrsn=9702d276_3

Unicef. (2017). Profiles of slums/underserved areas of 08 largest cities of Pakistan. https://www.unicef.org/pakistan/reports/profiles-slumsunderserved-areas-8-largest-cities-pakistan

UN-Habitat. (2019). For a better urban future: Annual report. United Nation. https://unhabitat.org/annual-progress-report-2018

Ullah, A., Khan, K., & Mahmood, H. (2017). Understanding the nexus between conflict, displacement, and schooling: A case study of IDPs in Pakistan. Asian Journal of Peacebuilding, 5(1), 155–168. https://doi.org/10.18588/201705.00a010

Vaarma, M., & Li, H. (2024). Predicting student dropouts with machine learning: An empirical study in Finnish higher education. Technology in Society, 76, Article e102474.

https://doi.org/10.1016/j.techsoc.2024.102474

Walque, D. (2005). Parental education and children’s schooling outcomes: Is the effect nature, nurture, or both? World Bank. https://doi.org/10.1596/1813-9450-3483

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Published

2026-06-03

How to Cite

Habib, S., Jamil, M., & Ahmed, E. (2026). Schooling for the Urban Poor: Insights from Urban Slums of Islamabad, Pakistan . Empirical Economic Review, 9(1), 24–48. https://doi.org/10.29145/eer.91.02

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