Evidence of the Impact of Children’s Household Chores and Market Labour on Learning from School Census Data in Brazil
Ana Lucia Kassouf,
Luca Tiberti and
Marcos Garcias
Journal of Development Studies, 2020, vol. 56, issue 11, 2097-2112
Abstract:
This study analyzes the impact of children’s household chores and market labour on learning using Prova Brazil census data from 2007/2011, 2009/2013, 2011/2015 and 2013/2017. To do that, we created a large panel dataset with students in 5th and 9th Grades. A panel fixed effects model with an instrumental variable approach was applied to control for the endogeneity of child labour. Possible attrition bias was taken into account through inverse probability weights. The work performed by children either in the household, or in the labour market was detrimental to their academic performance. In the 2013/2017 panel, the largest impact was a reduction close to 12.3 per cent in Portuguese and more than 10 per cent in Mathematics test scores when children worked in both places labour market and household. Our results also indicate that household chores, which are often not counted in social statistics and not considered dangerous, should be included in policies designed to combat child labour.
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://hdl.handle.net/10.1080/00220388.2020.1736284 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:jdevst:v:56:y:2020:i:11:p:2097-2112
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/FJDS20
DOI: 10.1080/00220388.2020.1736284
Access Statistics for this article
Journal of Development Studies is currently edited by Howard White, Oliver Morrissey and Ken Shadlen
More articles in Journal of Development Studies from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().