Child labour and school attendance: evidence from Bangladesh

Khanam, Rasheda ORCID: https://orcid.org/0000-0003-1130-2357 (2008) Child labour and school attendance: evidence from Bangladesh. International Journal of Social Economics, 35 (1/2). pp. 77-98. ISSN 0306-8293

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Abstract

This paper uses data from Bangladesh to examine the determinants of child labour and schooling. Using a multinomial logit model, we jointly estimate the determinants of schooling and working, combining schooling and work, or doing nothing for 5-17 years old children. The multinomial logit 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 (ages 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


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Author's version deposited in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Historic - Faculty of Business - School of Accounting, Economics and Finance (1 Apr 2007 - 31 Dec 2010)
Faculty/School / Institute/Centre: Historic - Faculty of Business - School of Accounting, Economics and Finance (1 Apr 2007 - 31 Dec 2010)
Date Deposited: 14 Sep 2009 05:41
Last Modified: 02 Jul 2013 23:22
Uncontrolled Keywords: child labour, school attendance, multinomial logit model, Bangladesh.
Fields of Research (2008): 14 Economics > 1402 Applied Economics > 140211 Labour Economics
14 Economics > 1402 Applied Economics > 140202 Economic Development and Growth
14 Economics > 1402 Applied Economics > 140204 Economics of Education
14 Economics > 1403 Econometrics > 140301 Cross-Sectional Analysis
Fields of Research (2020): 38 ECONOMICS > 3801 Applied economics > 380111 Labour economics
44 HUMAN SOCIETY > 4404 Development studies > 440499 Development studies not elsewhere classified
38 ECONOMICS > 3801 Applied economics > 380104 Economics of education
38 ECONOMICS > 3802 Econometrics > 380201 Cross-sectional analysis
Socio-Economic Objectives (2008): B Economic Development > 91 Economic Framework > 9199 Other Economic Framework > 919999 Economic Framework not elsewhere classified
Identification Number or DOI: https://doi.org/10.1108/03068290810843855
URI: http://eprints.usq.edu.au/id/eprint/5574

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