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All Work and No Play? The Effects of Ability Sorting on Students’ Non-school Inputs, Time Use, and Grade Anxiety

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  • Liang Choon Wang

Abstract

How students’ non-school inputs respond to ability grouping may explain the currently mixed findings in the literature about the impacts of tracking. Using data from South Korea, where students are randomized into middle schools under the country’s equalization policy, but sorted into different high schools on the basis of achievement in some non-equalization policy areas, I find that under ability sorting, students’ demand for private tutoring, self-study time, and grade anxiety levels are lower, and their hours of sleep and leisure are higher. The effects on private tutoring are particularly significant for high achievers, while the effects on self-study and leisure hours are strong for low achievers. The results potentially help reconcile the mixed findings in the ability grouping and tracking literature.

Suggested Citation

  • Liang Choon Wang, 2014. "All Work and No Play? The Effects of Ability Sorting on Students’ Non-school Inputs, Time Use, and Grade Anxiety," Monash Economics Working Papers 37-14, Monash University, Department of Economics.
    • Handle: RePEc:mos:moswps:2014-37
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    File URL: http://www.buseco.monash.edu.au/eco/research/papers/2014/3714allworkwang.pdf
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    References listed on IDEAS

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    1. Esther Duflo & Pascaline Dupas & Michael Kremer, 2011. "Peer Effects, Teacher Incentives, and the Impact of Tracking: Evidence from a Randomized Evaluation in Kenya," American Economic Review, American Economic Association, vol. 101(5), pages 1739-1774, August.
    2. Hai-Anh Dang & F. Halsey Rogers, 2008. "The Growing Phenomenon of Private Tutoring: Does It Deepen Human Capital, Widen Inequalities, or Waste Resources?," The World Bank Research Observer, World Bank, vol. 23(2), pages 161-200, April.
    3. Jishnu Das & Stefan Dercon & James Habyarimana & Pramila Krishnan & Karthik Muralidharan & Venkatesh Sundararaman, 2013. "School Inputs, Household Substitution, and Test Scores," American Economic Journal: Applied Economics, American Economic Association, vol. 5(2), pages 29-57, April.
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    Cited by:

    1. Emily McDool, 2018. "Class Setting and Children’s Non-Cognitive Outcomes," Working Papers 2018008, The University of Sheffield, Department of Economics.

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    More about this item

    Keywords

    Tracking; shadow education; leisure; time use; anxiety; Korea.;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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