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What Accounts for International Differences in Student Performance? A Re-Examination Using PISA Data (new title: What accounts for international differences in student performance? A re-examination using PISA)

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Author Info

  • Thomas Fuchs
  • Ludger Woessmann

Abstract

We use the PISA student-level achievement database to estimate international education production functions. Student characteristics, family backgrounds, home inputs, resources, teachers and institutions are all significantly related to math, science and reading achievement. Our models account for more than 85 percent of the between-country performance variation, with roughly 25 percent accruing to institutional variation. Student performance is higher with external exams and budget formulation, but also with school autonomy in textbook choice, hiring teachers and within-school budget allocations. School autonomy is more beneficial in systems with external exit exams. Students perform better in privately operated schools, but private funding is not decisive.

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File URL: http://www.cesifo-group.de/portal/page/portal/DocBase_Content/WP/WP-CESifo_Working_Papers/wp-cesifo-2004/wp-cesifo-2004-07/cesifo1_wp1235.pdf
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Bibliographic Info

Paper provided by CESifo Group Munich in its series CESifo Working Paper Series with number 1235.

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Date of creation: 2004
Date of revision:
Handle: RePEc:ces:ceswps:_1235

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Related research

Keywords: education production function; PISA; international variation in student performance; institutional effects in schooling;

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References

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  1. Andrei Shleifer, 1998. "State Versus Private Ownership," NBER Working Papers 6665, National Bureau of Economic Research, Inc.
  2. 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.
  3. Erich Gundlach & Ludger Wössmann & Jens Gmelin, 1999. "The Decline of Schooling Productivity in OECD Countries," Kiel Working Papers 926, Kiel Institute for the World Economy.
  4. Hoxby, Caroline M., 1999. "The productivity of schools and other local public goods producers," Journal of Public Economics, Elsevier, vol. 74(1), pages 1-30, October.
  5. Joshua Angrist & Victor Lavy, 1999. "New Evidence on Classroom Computers and Pupil Learning," NBER Working Papers 7424, National Bureau of Economic Research, Inc.
  6. Nechyba, Thomas J, 1999. " School Finance Induced Migration and Stratification Patterns: The Impact of Private School Vouchers," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 1(1), pages 5-50.
  7. Caroline M. Hoxby, 1998. "All School Finance Equalizations Are Not Created Equal," NBER Working Papers 6792, National Bureau of Economic Research, Inc.
  8. 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.
  9. Betts, Julian R, 1998. "The Impact of Educational Standards on the Level and Distribution of Earnings," American Economic Review, American Economic Association, vol. 88(1), pages 266-75, March.
  10. 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.
  11. Moulton, Brent R., 1986. "Random group effects and the precision of regression estimates," Journal of Econometrics, Elsevier, vol. 32(3), pages 385-397, August.
  12. Costrell, Robert M, 1994. "A Simple Model of Educational Standards," American Economic Review, American Economic Association, vol. 84(4), pages 956-71, September.
  13. Akerhielm, Karen, 1995. "Does class size matter?," Economics of Education Review, Elsevier, vol. 14(3), pages 229-241, September.
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Citations

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Cited by:
  1. Entorf, Horst & Lauk, Martina, 2007. "Peer effects, social multipliers and migrants at school: An international comparison," Center for European, Governance and Economic Development Research Discussion Papers 57, University of Goettingen, Department of Economics.
  2. Entorf, Horst & Lauk, Martina, 2006. "Peer Effects, Social Multipliers and Migrants at School: An International Comparison," IZA Discussion Papers 2182, Institute for the Study of Labor (IZA).
  3. Natalia Zinovyeva & Florentino Felgueroso & Pablo Vazquez Vega, 2008. "Immigration and Students' Achievement in Spain," Working Papers 2008-37, FEDEA.
  4. Florian Birkenfeld & Shima'a Hanafy, 2008. "Was macht eine zentrale Abschlussprüfung aus?," Economics of Education Working Paper Series 0033, University of Zurich, Institute for Strategy and Business Economics (ISU).
  5. Trevor Collier & Daniel Millimet, 2009. "Institutional arrangements in educational systems and student achievement: a cross-national analysis," Empirical Economics, Springer, vol. 37(2), pages 329-381, October.
  6. Robert Schwager, 2005. "PISA-Schock und Hochschulmisere - Hat der deutsche Bildungsföderalismus versagt?," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 6(2), pages 189-205, 05.
  7. Elizabeth Cascio & Damon Clark & Nora Gordon, 2008. "Education and the Age Profile of Literacy into Adulthood," Journal of Economic Perspectives, American Economic Association, vol. 22(3), pages 47-70, Summer.
  8. Ludger Wößmann, 2005. "Leistungsfördernde Anreize für das Schulsystem," Ifo Schnelldienst, Ifo Institute for Economic Research at the University of Munich, vol. 58(19), pages 18-27, October.
  9. Ludger Wossmann, 2005. "The effect heterogeneity of central examinations: evidence from TIMSS, TIMSS-Repeat and PISA," Education Economics, Taylor and Francis Journals, vol. 13(2), pages 143-169.

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