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School Proximity and Child Labor Evidence from Rurul Tanzania

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  • Florence Kondylis
  • Marco Manacorda

Abstract

Is improved school accessibility an effective policy tool for reducing child labor in developing countries? We address this question using micro data from rural Tanzania and a regression strategy that attempts to control for non-random location of households around schools as well as classical and non-classical measurement error in self-reported distance to school. Consistent with a simple model of child labor supply, but contrary to what appears to be a widespread perception, our analysis shows that school proximity leads to a rise in school attendance but no fall in child labor.

Suggested Citation

  • Florence Kondylis & Marco Manacorda, 2010. "School Proximity and Child Labor Evidence from Rurul Tanzania," CEP Discussion Papers dp1035, Centre for Economic Performance, LSE.
  • Handle: RePEc:cep:cepdps:dp1035
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    Cited by:

    1. Ghulam Abid & Binish Khan & Zeeshan Rafiq & Alia Ahmed, 2015. "Child Trade-Off Theory: A Theoretical Discussion on the Structure, Causes, Consequences and Eradication of Child Labor," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 4(1), pages 24-34, March.
    2. Isabel Ruiz & Carlos Vargas-Silva, 2017. "The impact of hosting refugees on the intra-household allocation of tasks: A gender perspective," WIDER Working Paper Series 066, World Institute for Development Economic Research (UNU-WIDER).
    3. Edmonds, Eric V., 2008. "Child Labor," Handbook of Development Economics, Elsevier.
    4. Ellen Webbink & Jeroen Smits & Eelke Jong, 2013. "Household and Context Determinants of Child Labor in 221 Districts of 18 Developing Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 110(2), pages 819-836, January.
    5. Delphine Boutin, 2014. "Climate vulnerability, communities' resilience and child labour," Revue d'économie politique, Dalloz, vol. 124(4), pages 625-638.
    6. Harounan Kazianga & Leigh Linden & Ali Protik & Matt Sloan, 2016. "The Medium-Term Impacts of Girl-Friendly Schools: Seven-Year Evidence from School Construction in Burkina Faso," Development Working Papers 406, Centro Studi Luca d'Agliano, University of Milano, revised 11 Nov 2016.
    7. Claus Pörtner, 2016. "Effects of parental absence on child labor and school attendance in the Philippines," Review of Economics of the Household, Springer, vol. 14(1), pages 103-130, March.
    8. F. Blanco, 2007. "Children's work in Angola: an overview," UCW Working Paper 38, Understanding Children's Work (UCW Programme).
    9. repec:eee:soceps:v:59:y:2017:i:c:p:1-12 is not listed on IDEAS
    10. de Hoop, Jacobus & Rosati, Furio C., 2014. "Does promoting school attendance reduce child labor? Evidence from Burkina Faso's BRIGHT project," Economics of Education Review, Elsevier, vol. 39(C), pages 78-96.
    11. Mikal Davis & Nick Ingwersen & Harounan Kazianga & Leigh Linden & Arif Mamun & Ali Protik & Matt Sloan, "undated". "Ten-Year Impacts of Burkina Faso's BRIGHT Program," Mathematica Policy Research Reports 2ecdd42bb503422b802ce20da, Mathematica Policy Research.
    12. repec:pal:eurjdr:v:30:y:2018:i:2:d:10.1057_s41287-017-0079-2 is not listed on IDEAS

    More about this item

    Keywords

    Distance to school; child labor; school enrolment;

    JEL classification:

    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J82 - Labor and Demographic Economics - - Labor Standards - - - Labor Force Composition
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • O55 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Africa

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