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Children's work and schooling - does gender matter? : evidence from the Peru LSMS panel data

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  • Ilahi, Nadeem

Abstract

Using panel data from Peru, the author investigates the determinants of the allocation of boys'and girls'time to schooling, housework, and income-generating activities. Specifically, she explores whether sickness, female headship, access to infrastructure, and employment of women in the household have different impacts on the time use of boys and girls. Girls mostly engage in housework, and boys mostly work outside the home. As a work activity, housework responds to economic incentives and constraints. The author's econometric findings suggest that changes in household welfare affect girls'work and schooling more than boys'. Even though boys'and girls'educational attainment rates are the same, girls'education responds more to changes in household welfare than does boys'. Similarly, girls are more likely than boys to adjust their home time in response to changes in adult female employment and to sickness of household members. Lack of access to energy infrastructure lowers the educational attainment of both boys and girls but has little affect on their labor. The traditional approach to the determinants of child labor and education excludes housework and may understate children's time use, particularly that of girls. It may therefore also overlook an important gender dimension of education policy. Safety nets that protect household incomes from employment shocks and sickness, and childcare programs that allow women to work, would reduce the likelihood of girls being pulled out of school.

Suggested Citation

  • Ilahi, Nadeem, 2001. "Children's work and schooling - does gender matter? : evidence from the Peru LSMS panel data," Policy Research Working Paper Series 2745, The World Bank.
    • Handle: RePEc:wbk:wbrwps:2745
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    References listed on IDEAS

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    Cited by:

    1. Dayang Haszelinna binti Abang Ali & G. Reza Arabsheibani, 2016. "Child Labour in Indonesia: Supply-Side Determinants," Economics and Finance in Indonesia, Faculty of Economics and Business, University of Indonesia, vol. 62, pages 162-179, December.
    2. Tanya Byker & Italo A. Gutierrez, 2016. "Treatment Effects Using Inverse Probability Weighting and Contaminated Treatment Data An Application to the Evaluation of a Government Female Sterilization Campaign in Peru," Working Papers WR-1118-1, RAND Corporation.
    3. Costanza Biavaschi & Corrado Giulietti & Klaus F. Zimmermann, 2015. "Sibling Influence on the Human Capital of the Left-Behind," Journal of Human Capital, University of Chicago Press, vol. 9(4), pages 403-438.
    4. Lutfullah Lutf & Shahadat I Haq Yasini, 2018. "Factors Contributing to Child Labor in Afghanistan: A Case Study in Jalalabad City," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 3, pages 348-372, September.
    5. Diether W. Beuermann, 2015. "Information and Communications Technology, Agricultural Profitability and Child Labor in Rural Peru," Review of Development Economics, Wiley Blackwell, vol. 19(4), pages 988-1005, November.

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