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Characteristics of teaching institutions and students’ performance : new empirical evidence from OECD data

  • Stephane, ROBIN

    (CRESGE, Lille)

  • Maresa, SPRIETSMA

    (UNIVERSITE CATHOLIQUE DE LOUVAIN, Institut de Recherches Economiques et Sociales (IRES))

A whole branch of the economic literature suggests that institutional differences between and inside educational systems may have a larger influence on students performance than the amount of resources devoted to schooling. In this paper, we use the PISA 2000 international OECD data to evaluate the impacts of organizational and institutional factors on students performance. We estimate an education production function with country fixed-effect and school random-effect. We find that, alongside individual characteristics, school autonomy in decisions regarding the recruitment of new personnel as well as pedagogical training strongly affect students performance. On the contrary, measures of school resources and standardised evaluation of students have no consistent effect.

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Paper provided by Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES) in its series Discussion Papers (IRES - Institut de Recherches Economiques et Sociales) with number 2003028.

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Length: 24
Date of creation: 01 Dec 2003
Date of revision:
Handle: RePEc:ctl:louvir:2003028
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  1. McNabb, Robert & Pal, Sarmistha & Sloane, Peter, 2002. "Gender Differences in Educational Attainment: The Case of University Students in England and Wales," Economica, London School of Economics and Political Science, vol. 69(275), pages 481-503, August.
  2. Gary S. Becker & Kevin M. Murphy & Robert Tamura, 1994. "Human Capital, Fertility, and Economic Growth," NBER Chapters, in: Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education (3rd Edition), pages 323-350 National Bureau of Economic Research, Inc.
  3. Wößmann, Ludger, 2003. "Schooling resources, educational institutions and student performance: The international evidence," Munich Reprints in Economics 19661, University of Munich, Department of Economics.
  4. Angrist, Joshua D & Lavy, Victor, 2001. "Does Teacher Training Affect Pupil Learning? Evidence from Matched Comparisons in Jerusalem Public Schools," Journal of Labor Economics, University of Chicago Press, vol. 19(2), pages 343-69, April.
  5. 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.
  6. Joshua D. Angrist & Victor Lavy, 1999. "Using Maimonides' Rule To Estimate The Effect Of Class Size On Scholastic Achievement," The Quarterly Journal of Economics, MIT Press, vol. 114(2), pages 533-575, May.
  7. Murnane, Richard J & Maynard, Rebecca A & Ohls, James C, 1981. "Home Resources and Children's Achievement," The Review of Economics and Statistics, MIT Press, vol. 63(3), pages 369-77, August.
  8. David Card & Alan B. Krueger, 1991. "School Quality and Black-White Relative Earnings: A Direct Assessment," NBER Working Papers 3713, National Bureau of Economic Research, Inc.
  9. Eric A. Hanushek, 2003. "The Failure of Input-Based Schooling Policies," Economic Journal, Royal Economic Society, vol. 113(485), pages F64-F98, February.
  10. Cooper, Samuel T. & Cohn, Elchanan, 1997. "Estimation of a frontier production function for the South Carolina educational process," Economics of Education Review, Elsevier, vol. 16(3), pages 313-327, June.
  11. Min Yang & Harvey Goldstein & William Browne & Geoffrey Woodhouse, 2002. "Multivariate multilevel analyses of examination results," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(1), pages 137-153.
  12. Hoxby, Caroline Minter, 1996. "How Teachers' Unions Affect Education Production," The Quarterly Journal of Economics, MIT Press, vol. 111(3), pages 671-718, August.
  13. N. Gregory Mankiw & David Romer & David N. Weil, 1990. "A Contribution to the Empirics of Economic Growth," NBER Working Papers 3541, National Bureau of Economic Research, Inc.
  14. Monk, David H., 1994. "Subject area preparation of secondary mathematics and science teachers and student achievement," Economics of Education Review, Elsevier, vol. 13(2), pages 125-145, June.
  15. Rosalind Levacic & Stephen Machin & David Reynolds & Anna Vignoles & James Walker, 2000. "The Relationship between Resource Allocation and Pupil Attainment: A Review," CEE Discussion Papers 0002, Centre for the Economics of Education, LSE.
  16. Michael Bishop & Ferran Mane & John H. Bishop, 2000. "Secondary Education in the United States: What Can Others Learn from Our Mistakes? Title: La Educación Secundaria en los Estados Unidos: ¿Qué Pueden Aprender Otros de Nuestros Errores?," IDB Publications (Working Papers) 80374, Inter-American Development Bank.
  17. 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).
  18. repec:idb:brikps:publication-detail,7101.html?id=68565 is not listed on IDEAS
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