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Ursachenkomplexe der PISA-Ergebnisse:Untersuchungen auf Basis der internationalen Mikrodaten

  • Ludger Wößmann

    ()

The paper estimates the correlates of student performance across countries using student-level data from the PISA-2000 study. There is a substantial relationship of international student performance in math, science, and reading with institutional features. In particular, there are positive associations with accountability through external exit exams, school autonomy in personnel-management and process decisions, and private operation of schools. By contrast, there is no positive association with private school funding, and a negative association with autonomy in areas with scope for decentralized opportunistic behavior. Student performanceshows a positive relationship with school autonomy particularly where external exit exams are in place, highlighting the role of external exams as “currency” of school systems. Positive associations of student performance with resource endowments of schools are mainly related to resource quality. While there is a strong association with family background, computer availability at home shows even a negative relationship with student performance on basic skills, after holding other effects constant. The explanatory power of the model between countries is remarkable.

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File URL: http://www.cesifo-group.de/portal/page/portal/DocBase_Content/WP/WP-Ifo_Working_Papers/wp-ifo-2005-2010/IfoWorkingPaper-16.pdf
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Paper provided by Ifo Institute for Economic Research at the University of Munich in its series Ifo Working Paper Series with number Ifo Working Paper No. 16.

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Date of creation: 2005
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Handle: RePEc:ces:ifowps:_16
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  1. Gundlach, Erich & Wößmann, Ludger & Gmelin, Jens, 2001. "The decline of schooling productivity in OECD countries," Munich Reprints in Economics 20451, University of Munich, Department of Economics.
  2. Andreas Ammermüller & Hans Heijke & Ludger Wößmann, 2003. "Schooling Quality in Eastern Europe: Educational Production During Transition," Kiel Working Papers 1154, Kiel Institute for the World Economy.
  3. Ludger Wossmann, 2010. "Families, schools and primary-school learning: evidence for Argentina and Colombia in an international perspective," Applied Economics, Taylor & Francis Journals, vol. 42(21), pages 2645-2665.
  4. Gundlach, Erich & Wößmann, Ludger, . "Bildungsressourcen, Bildungsinstitutionen und Bildungsqualität: Makroökonomische Relevanz und mikroökonomische Evidenz," Chapters in Economics, University of Munich, Department of Economics.
  5. Moulton, Brent R., 1986. "Random group effects and the precision of regression estimates," Journal of Econometrics, Elsevier, vol. 32(3), pages 385-397, August.
  6. John H. Bishop & Ludger Wößmann, 2001. "Institutional Effects in a Simple Model of Educational Production," Kiel Working Papers 1085, Kiel Institute for the World Economy.
  7. Ludger Woessmann, 2004. "Institutional Comparisons in Educational Production," CESifo DICE Report, Ifo Institute for Economic Research at the University of Munich, vol. 2(4), pages 03-06, 01.
  8. Wooldridge, Jeffrey M., 2001. "Asymptotic Properties Of Weighted M-Estimators For Standard Stratified Samples," Econometric Theory, Cambridge University Press, vol. 17(02), pages 451-470, April.
  9. Akerhielm, Karen, 1995. "Does class size matter?," Economics of Education Review, Elsevier, vol. 14(3), pages 229-241, September.
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