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School Quality, Educational Attainment and Aggregation Bias

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  • Fertig, Michael
  • Wright, Robert E.

Abstract

Data from 31 countries participating in the Programme for International Student Assessment (PISA) is used to estimate education production functions for reading literacy.The analysis suggests that the probability of finding tatistically significant and correctly signed class size effects increases the higher the level of aggregation used to measure class size.

Suggested Citation

  • Fertig, Michael & Wright, Robert E., 2003. "School Quality, Educational Attainment and Aggregation Bias," RWI Discussion Papers 9, RWI - Leibniz-Institut für Wirtschaftsforschung.
    • Handle: RePEc:zbw:rwidps:9
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    References listed on IDEAS

    as
    1. Fertig, Michael & Schmidt, Christoph M., 2002. "The Role of Background Factors for Reading Literacy: Straight National Scores in the PISA 2000 Study," IZA Discussion Papers 545, Institute of Labor Economics (IZA).
    2. Hanushek, Eric A & Rivkin, Steven G & Taylor, Lori L, 1996. "Aggregation and the Estimated Effects of School Resources," The Review of Economics and Statistics, MIT Press, vol. 78(4), pages 611-627, November.
    3. Hanushek, Eric A., 2006. "School Resources," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 2, chapter 14, pages 865-908, Elsevier.
    4. Hanushek, Eric A, 1986. "The Economics of Schooling: Production and Efficiency in Public Schools," Journal of Economic Literature, American Economic Association, vol. 24(3), pages 1141-1177, September.
    5. Christian Dustmann, 2003. "The Class Size Debate and Educational Mechanisms: Editorial," Economic Journal, Royal Economic Society, vol. 113(485), pages 1-2, February.
    6. Hanushek, E.A.omson, W., 1996. "Assessing the Effects of School Resources on Student Performance : An Update," RCER Working Papers 424, University of Rochester - Center for Economic Research (RCER).
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Mladen Stamenković & Ivan Anić & Marijana Petrović & Nataša Bojković, 2016. "An ELECTRE approach for evaluating secondary education profiles: evidence from PISA survey in Serbia," Annals of Operations Research, Springer, vol. 245(1), pages 337-358, October.
    2. Hanushek, Eric A. & Woessmann, Ludger, 2011. "The Economics of International Differences in Educational Achievement," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 2, pages 89-200, Elsevier.
    3. Ludger Wößmann, 2005. "Kleinere Klassen = bessere Leistungen?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 58(17), pages 06-15, September.
    4. David Tobón & Germán Darío Valencia Agudelo & Paul Ríos Gallego & John Fredy Bedoya, 2008. "Hierarchical Organization and School Academic Achievement in Medellin: An Analysis from the Educational Production Function," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 68, pages 145-173, Enero-Jun.
    5. Woessmann Ludger, 2010. "Institutional Determinants of School Efficiency and Equity: German States as a Microcosm for OECD Countries," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(2), pages 234-270, April.
    6. Hideo Akabayashi & Ryuichi Tanaka, 2024. "The rate of return to early childhood education in Japan: estimates from the nationwide expansion," Education Economics, Taylor & Francis Journals, vol. 32(5), pages 581-598, September.
    7. K. Kounetas & G. Androulakis & M. Kaisari & G. Manousakis, 2023. "Educational reforms and secondary school's efficiency performance in Greece: a bootstrap DEA and multilevel approach," Operational Research, Springer, vol. 23(1), pages 1-29, March.
    8. Müzeyyen Merve Şerifoğlu, 2023. "Education and Employment: Evidence from Selected OECD Countries," Prague Economic Papers, Prague University of Economics and Business, vol. 2023(5), pages 569-588.
    9. Machin Stephen & Puhani Patrick A., 2005. "Special Issue on the Economics of Education – Policies and Empirical Evidence: Editorial," German Economic Review, De Gruyter, vol. 6(3), pages 259-267, August.
    10. Alexander Arévalo S & Víctor Giménez G & Diego Prior J, 2022. "Análisis de eficiencia en educación: una aplicación del método StoNED," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, vol. 92(2), pages 45-91, October.
    11. van Ours, Jan C., 2006. "Children Reading Fiction Books Because They Want To," CEPR Discussion Papers 5472, C.E.P.R. Discussion Papers.
    12. Justina A.V. Fischer, 2005. "The Impact of Direct Democracy on Public Education: Performance of Swiss Students in Reading," University of St. Gallen Department of Economics working paper series 2005 2005-10, Department of Economics, University of St. Gallen.
    13. Ryan, Chris, 2013. "What is behind the decline in student achievement in Australia?," Economics of Education Review, Elsevier, vol. 37(C), pages 226-239.
    14. Ludger Woessmann, 2007. "Fundamental Determinants of School Efficiency and Equity: German States as a Microcosm for OECD Countries," CESifo Working Paper Series 1981, CESifo.
    15. Lounkaew, Kiatanantha, 2013. "Explaining urban–rural differences in educational achievement in Thailand: Evidence from PISA literacy data," Economics of Education Review, Elsevier, vol. 37(C), pages 213-225.
    16. Fischer, Justina A.V., 2007. "The Impact of Direct Democracy on Public Education: Evidence for Swiss Students in Reading, Mathematics and Natural Science," SSE/EFI Working Paper Series in Economics and Finance 688, Stockholm School of Economics.
    17. van Ours, J.C., 2006. "Children Reading Fiction Books Because They Want To," Discussion Paper 2006-3, Tilburg University, Center for Economic Research.

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    More about this item

    Keywords

    Class size; PISA data; bias;
    All these keywords.

    JEL classification:

    • I2 - Health, Education, and Welfare - - Education

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