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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
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Handle: RePEc:ces:ceswps:_1235

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

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References

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  1. Epple, Dennis & Romano, Richard E, 1998. "Competition between Private and Public Schools, Vouchers, and Peer-Group Effects," American Economic Review, American Economic Association, vol. 88(1), pages 33-62, March.
  2. Ludger Wößmann, 2000. "Schooling Resources, Educational Institutions, and Student Performance: The International Evidence," Kiel Working Papers 983, Kiel Institute for the World Economy.
  3. Andrei Shleifer, 1998. "State versus Private Ownership," Journal of Economic Perspectives, American Economic Association, vol. 12(4), pages 133-150, Fall.
  4. Costrell, Robert M, 1994. "A Simple Model of Educational Standards," American Economic Review, American Economic Association, vol. 84(4), pages 956-71, September.
  5. 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.
  6. 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.
  7. Edwin G. West & Zhiqi Chen, 2000. "Selective versus Universal Vouchers: Modelling Median Voter Preferences in Education," American Economic Review, American Economic Association, vol. 90(5), pages 1520-1534, December.
  8. 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.
  9. John Bishop & Ludger Wossmann, 2004. "Institutional Effects in a Simple Model of Educational Production," Education Economics, Taylor & Francis Journals, vol. 12(1), pages 17-38.
  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. Caroline M. Hoxby, 2001. "All School Finance Equalizations Are Not Created Equal," The Quarterly Journal of Economics, MIT Press, vol. 116(4), pages 1189-1231, November.
  12. Joshua Angrist & Victor Lavy, 2002. "New Evidence on Classroom Computers and Pupil Learning," Economic Journal, Royal Economic Society, vol. 112(482), pages 735-765, October.
  13. Moulton, Brent R., 1986. "Random group effects and the precision of regression estimates," Journal of Econometrics, Elsevier, vol. 32(3), pages 385-397, August.
  14. 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.
  15. Akerhielm, Karen, 1995. "Does class size matter?," Economics of Education Review, Elsevier, vol. 14(3), pages 229-241, September.
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Cited by:
  1. 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.
  2. 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.
  3. 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).
  4. 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.
  5. Ludger Wossmann, 2005. "The effect heterogeneity of central examinations: evidence from TIMSS, TIMSS-Repeat and PISA," Education Economics, Taylor & Francis Journals, vol. 13(2), pages 143-169.
  6. 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.
  7. Natalia Zinovyeva & Florentino Felgueroso & Pablo Vazquez Vega, 2008. "Immigration and Students' Achievement in Spain," Working Papers 2008-37, FEDEA.
  8. 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.

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