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Family background, schooling resources, and institutional features: What determines student performance in East Asian countries?

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  • Gundlach, Erich
  • Wößmann, Ludger

Abstract

This paper examines determinants of educational performance in the high performing East Asian economies of Hong Kong, Japan, Singapore, South Korea, and Thailand by running within country regressions. The determinants considered include family background, school resources, and institutional characteristics of schools. Family background is found to be important, particularly in Korea. The class size appears to be positively associated with student performance, implying that putting in additional resources to reduce class size may not be an effective way to enhance the education sector?s productivity. al productivity. Such institutional characteristic of school as ?autonomy in teacher salary decision? is found strengthen student performance in Japan and Singapore. However, within country data provide limited variation in school institutional characteristics for the their effect to be precisely estimated. The results, despites their limitations, should be useful for future educational policy formulation not only in the East Asian countries examined but also in other developing countries.

Suggested Citation

  • Gundlach, Erich & Wößmann, Ludger, 2004. "Family background, schooling resources, and institutional features: What determines student performance in East Asian countries?," Open Access Publications from Kiel Institute for the World Economy 4326, Kiel Institute for the World Economy (IfW Kiel).
  • Handle: RePEc:zbw:ifwkie:4326
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    References listed on IDEAS

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    1. 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.
    2. Gundlach, Erich & Wo[beta]mann, Ludger, 2001. "The fading productivity of schooling in East Asia," Journal of Asian Economics, Elsevier, vol. 12(3), pages 401-417.
    3. Alan B. Krueger, 2003. "Economic Considerations and Class Size," Economic Journal, Royal Economic Society, vol. 113(485), pages 34-63, February.
    4. Gundlach, Erich & Wossmann, Ludger & Gmelin, Jens, 2001. "The Decline of Schooling Productivity in OECD Countries," Economic Journal, Royal Economic Society, vol. 111(471), pages 135-147, May.
    5. repec:bla:econom:v:68:y:2001:i:272:p:465-88 is not listed on IDEAS
    6. Caroline M. Hoxby, 2000. "The Effects of Class Size on Student Achievement: New Evidence from Population Variation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(4), pages 1239-1285.
    7. Moulton, Brent R., 1986. "Random group effects and the precision of regression estimates," Journal of Econometrics, Elsevier, vol. 32(3), pages 385-397, August.
    8. Wooldridge, Jeffrey M., 2001. "Asymptotic Properties Of Weighted M-Estimators For Standard Stratified Samples," Econometric Theory, Cambridge University Press, vol. 17(2), pages 451-470, April.
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    Cited by:

    1. Asadullah, M. Niaz & Perera, Liyanage Devangi H. & Xiao, Saizi, 2020. "Vietnam’s extraordinary performance in the PISA assessment: A cultural explanation of an education paradox," Journal of Policy Modeling, Elsevier, vol. 42(5), pages 913-932.
    2. Florian Birkenfeld, 2008. "Schulleistungen von Maedchen und Jungen. Gleichberechtigung als Bildungsmotor?," Economics of Education Working Paper Series 0019, University of Zurich, Department of Business Administration (IBW).
    3. Perera, Liyanage Devangi H. & Asadullah, M. Niaz, 2019. "Mind the gap: What explains Malaysia’s underperformance in Pisa?," International Journal of Educational Development, Elsevier, vol. 65(C), pages 254-263.

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