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Child labour and school attendance: evidence from Bangladesh

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  • Khanam, Rasheda

Abstract

Purpose – The objective of this paper is to understand better the determinants of child labour and schooling in Bangladesh. Design/methodology/approach – This paper uses data from a survey based in rural Bangladesh and considers the children aged 5-17 years living in rural households in which the mother and father are both present. The sample size is 1,628 children. A multinomial logit model is used to estimate the determinants of schooling and working, combining schooling and work, or doing nothing for 5-17 years old children. Findings – The results show that the education of parents significantly increases the probability that a school-age child will specialise in study. The presence of very young children (aged 0-4) in the household increases the likelihood that a school-age child will combine study with work. The significant and positive gender coefficient suggests that girls are more likely than boys to combine schooling with work. The children who are sons and daughters of the household-head, as opposed to being relatives living in the household are more likely to combine study and work but less likely to specialise in work. Originality/value – The existing anti-child labour policies mainly focus on the lowering of the demand for child labour in Bangladesh. The focus of this paper is, however, on the supply side of child labour, particularly on the use of child labour in the agricultural sector and the household sector where children are mainly employed by their parents. Unlike most of the existing studies on child labour, this paper considers housework and non-market works in the definition of child labour

Suggested Citation

  • Khanam, Rasheda, 2006. "Child labour and school attendance: evidence from Bangladesh," MPRA Paper 6990, University Library of Munich, Germany, revised 2007.
  • Handle: RePEc:pra:mprapa:6990
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    5. Shahina Amin & M. Shakil Quayes & Janet M. Rives, 2004. "Poverty and Other Determinants of Child Labor in Bangladesh," Southern Economic Journal, John Wiley & Sons, vol. 70(4), pages 876-892, April.
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    10. Khanam, Rasheda & Ross, Russell, 2005. "Impact of Child Labour on School Attendance and School Attainment: Evidence from Bangladesh," MPRA Paper 9397, University Library of Munich, Germany, revised Apr 2008.
    11. Ravallion, Martin & Wodon, Quentin, 2000. "Does Child Labour Displace Schooling? Evidence on Behavioural Responses to an Enrollment Subsidy," Economic Journal, Royal Economic Society, vol. 110(462), pages 158-175, March.
    12. Mohammad Mafizur Rahman & Rasheda Khanam & Nur Uddin Absar, 1999. "Child Labor in Bangladesh: A Critical Appraisal of Harkin’s Bill and the MOU-Type Schooling Program," Journal of Economic Issues, Taylor & Francis Journals, vol. 33(4), pages 985-1003, December.
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    Cited by:

    1. Han PHOUMIN & Seiichi FUKUI, 2006. "Cambodian Child's Wage Rate, Human Capital and Hours Worked Trade-off: Simple Theoretical and Empirical Evidence for Policy Implications," GSICS Working Paper Series 6, Graduate School of International Cooperation Studies, Kobe University.
    2. Stephen Bazen & Claire Salmon, 2010. "The impact of parental health on child labor: the case of Bangladesh," Economics Bulletin, AccessEcon, vol. 30(4), pages 2549-2557.
    3. Congdon Fors, Heather & Houngbedji, Kenneth & Lindskog, Annika, 2019. "Land certification and schooling in rural Ethiopia," World Development, Elsevier, vol. 115(C), pages 190-208.
    4. Camilo, Karen & Zuluaga, Blanca, 2022. "The effects of conditional cash transfers on schooling and child labor of nonbeneficiary siblings," International Journal of Educational Development, Elsevier, vol. 89(C).
    5. Aubrey Keeler Saunders & Samuel Brazys, 2022. "Does Distance Matter? Proximity to Exporting Firms on Child Labour and Education Rates: Evidence from Bangladesh," Working Papers 202206, Geary Institute, University College Dublin.
    6. Amao, Ifeoluwapo & Akinlade, Roseline, 2014. "Child labour among Horticultural Households in Bauchi State, Nigeria: A gender perspective," MPRA Paper 55708, University Library of Munich, Germany.
    7. Mohammad Nashir Uddin & Mohammad Hamiduzzaman & Bernhard G. Gunter, 2009. "Physical and Psychological Implications of Risky Child Labor: A Study in Sylhet City, Bangladesh," Bangladesh Development Research Working Paper Series (BDRWPS) BDRWPS No. 8, Bangladesh Development Research Center (BDRC).
    8. Salma Ahmad & Ranjan Ray, 2014. "Health consequences of child labour in Bangladesh," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 30(4), pages 111-150.
    9. Bhuiya, Mohammad Monzur Morshed & Khanam, Rasheda & Rahman, Mohammad Mafizur & Nghiem, Son, 2019. "Microcredit participation and child schooling in rural Bangladesh: Evidence from a cross-sectional survey," Economic Analysis and Policy, Elsevier, vol. 64(C), pages 293-301.
    10. Ozge Sensoy Bahar & Alice Boateng & Portia B. Nartey & Abdallah Ibrahim & Kingsley Kumbelim & Proscovia Nabunya & Fred M. Ssewamala & Mary M. McKay, 2022. "“ ANZANSI Program Taught Me Many Things in Life ”: Families’ Experiences with a Combination Intervention to Prevent Adolescent Girls’ Unaccompanied Migration for Labor," IJERPH, MDPI, vol. 19(20), pages 1-19, October.
    11. Han PHOUMIN & Seiichi FUKUI, 2006. "Hours Supplied of Cambodian Child Labor and School Enrolment: Simple Theoretical and Empirical Evidence for Policy Implications," GSICS Working Paper Series 5, Graduate School of International Cooperation Studies, Kobe University.
    12. Khanam, Rasheda & Ross, Russell, 2005. "Impact of Child Labour on School Attendance and School Attainment: Evidence from Bangladesh," MPRA Paper 9397, University Library of Munich, Germany, revised Apr 2008.
    13. Jigme Nidup, 2016. "Determinants of School Enrolment in Bhutan: Does Income Matter to Poor?," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 4(2), pages 95-103, June.
    14. Alice Grinberg, 2015. "The Effect of Birth Order on Occupational Choice," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 43(4), pages 463-476, December.

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    More about this item

    Keywords

    Child labour; School Attendance; Multinomial Logit Model; Asia; Bangladesh;
    All these keywords.

    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • I2 - Health, Education, and Welfare - - Education
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • J1 - Labor and Demographic Economics - - Demographic Economics
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor

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