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What factors determine student performance in East Asia? New evidence from TIMSS 2007

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Listed:
  • Hojo, Masakazu
  • Oshio, Takashi
  • 小塩, 隆士
  • オシオ, タカシ

Abstract

This study investigates what factors determine students’ academic performance in five major economies in East Asia, using the dataset from the 2007 survey of Trends in International Mathematics and Science Study (TIMSS). We explicitly consider initial maturity differences, endogeneity of class size, and peer effects in regression analysis. We find that a student’s individual and family background is a key determinant of educational performance, while institutional and resource variables have a more limited effect. Peer effects are significant in general, but ability sorting at the school and/or class levels makes it difficult to interpret them in Hong Kong and Singapore.

Suggested Citation

  • Hojo, Masakazu & Oshio, Takashi & 小塩, 隆士 & オシオ, タカシ, 2010. "What factors determine student performance in East Asia? New evidence from TIMSS 2007," PIE/CIS Discussion Paper 494, Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University.
    • Handle: RePEc:hit:piecis:494
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    File URL: https://hermes-ir.lib.hit-u.ac.jp/hermes/ir/re/18745/pie_dp494.pdf
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    References listed on IDEAS

    as
    1. Wößmann Ludger, 2005. "Educational Production in East Asia: The Impact of Family Background and Schooling Policies on Student Performance," German Economic Review, De Gruyter, vol. 6(3), pages 331-353, August.
    2. Wo[ss]mann, Ludger & West, Martin, 2006. "Class-size effects in school systems around the world: Evidence from between-grade variation in TIMSS," European Economic Review, Elsevier, vol. 50(3), pages 695-736, April.
    3. Ammermuller, Andreas & Heijke, Hans & Wo[ss]mann, Ludger, 2005. "Schooling quality in Eastern Europe: Educational production during transition," Economics of Education Review, Elsevier, vol. 24(5), pages 579-599, October.
    4. Andrea M. Mühlenweg & Patrick A. Puhani, 2010. "The Evolution of the School-Entry Age Effect in a School Tracking System," Journal of Human Resources, University of Wisconsin Press, vol. 45(2).
    5. Ludger Wößmann, 2003. "Schooling Resources, Educational Institutions and Student Performance: the International Evidence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(2), pages 117-170, May.
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    Cited by:

    1. Kawaguchi, Daiji, 2016. "Fewer school days, more inequality," Journal of the Japanese and International Economies, Elsevier, vol. 39(C), pages 35-52.
    2. Hideo Akabayashi & Ryosuke Nakamura, 2014. "Can Small Class Policy Close the Gap? An Empirical Analysis of Class Size Effects in Japan," The Japanese Economic Review, Japanese Economic Association, vol. 65(3), pages 253-281, September.
    3. Masakazu Hojo, 2011. "Education Production Function and Class-Size Effects in Japanese Public Schools," Global COE Hi-Stat Discussion Paper Series gd11-194, Institute of Economic Research, Hitotsubashi University.

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    More about this item

    Keywords

    Educational production function; Initial maturity differences; Peer effects; Class size; Asia;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid

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