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

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  • Stephane, ROBIN

    (CRESGE, Lille)

  • Maresa, SPRIETSMA

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

Abstract

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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Bibliographic Info

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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Keywords: human capital formation; individual performance; school resources; school autonomy; institutional arrangements;

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References

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  1. Gary S. Becker & Kevin M. Murphy & Robert F. Tamura, 1990. "Human Capital, Fertility, and Economic Growth," NBER Working Papers 3414, National Bureau of Economic Research, Inc.
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  3. 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 80374, Inter-American Development Bank.
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  7. Eric A. Hanushek, 2002. "The Failure of Input-based Schooling Policies," NBER Working Papers 9040, National Bureau of Economic Research, Inc.
  8. repec:idb:brikps:publication-detail,7101.html?id=68565 is not listed on IDEAS
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  10. 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.
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  12. 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.
  13. 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).
  14. 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.
  15. 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.
  16. Gundlach, Erich & Wossmann, Ludger & Gmelin, Jens, 2001. "The Decline of Schooling Productivity in OECD Countries," Economic Journal, Royal Economic Society, vol. 111(471), pages C135-47, May.
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Cited by:
  1. Naper, Linn Renée, 2010. "Teacher hiring practices and educational efficiency," Economics of Education Review, Elsevier, vol. 29(4), pages 658-668, August.

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