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

  • Hojo, Masakazu
  • Oshio, Takashi

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.

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Paper provided by Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University in its series PIE/CIS Discussion Paper with number 494.

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Length: 34 p.
Date of creation: Dec 2010
Date of revision:
Handle: RePEc:hit:piecis:494
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  1. Ludger Woesmann, 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, 05.
  2. Ludger Wößmann & Martin R. West, 2002. "Class-Size Effects in School Systems Around the World: Evidence from Between-Grade Variation in TIMSS," Kiel Working Papers 1099, Kiel Institute for the World Economy.
  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. Ludger Wößmann, 2003. "Educational Production in East Asia: The Impact of Family Background and Schooling Policies on Student Performance," Kiel Working Papers 1152, Kiel Institute for the World Economy.
  5. 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).
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