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The Effect of Extra Funding for Disadvantaged Pupils on Achievement

Author

Listed:
  • Leuven, Edwin

    (Department of Economics, University of Amsterdam, NWO Priority Program Scholar)

  • Lindahl, Mikael

    (Swedish Institute for Social Research, Stockholm University)

  • Oosterbeek, Hessel

    (Department of Economics, University of Amsterdam, NWO Priority Program Scholar)

  • Webbink, Dinand

    (NWO Priority Program Scholar and CPB Netherlands Bureau for Economic Policy)

Abstract

This paper evaluates the effects of two subsidies targeted at disadvantaged pupils in the Netherlands. The first scheme gives primary schools with at least 70 percent minority pupils extra funding for personnel. The second scheme gives primary schools with at least 70 percent pupils from different disadvantaged groups extra funding for computers and software. The cutoffs at 70 percent provide a regression discontinuity design which we exploit in a local difference-in-differences framework. For both subsidies we find negative point estimates. For the personnel subsidy these are in most cases not significantly different from zero. For the computer subsidy we find more evidence of negative effects. We discuss several explanations for these counterintuitive results.

Suggested Citation

  • Leuven, Edwin & Lindahl, Mikael & Oosterbeek, Hessel & Webbink, Dinand, 2004. "The Effect of Extra Funding for Disadvantaged Pupils on Achievement," Working Paper Series 2/2004, Stockholm University, Swedish Institute for Social Research.
    • Handle: RePEc:hhs:sofiwp:2004_002
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    References listed on IDEAS

    as
    1. Edwin Leuven & Hessel Oosterbeek, 2004. "Evaluating the Effect of Tax Deductions on Training," Journal of Labor Economics, University of Chicago Press, vol. 22(2), pages 461-488, April.
    2. Hanushek, Eric A., 2006. "School Resources," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 2, chapter 14, pages 865-908, Elsevier.
    3. Austan Goolsbee & Jonathan Guryan, 2006. "The Impact of Internet Subsidies in Public Schools," The Review of Economics and Statistics, MIT Press, vol. 88(2), pages 336-347, May.
    4. Alan B. Krueger, 2003. "Economic Considerations and Class Size," Economic Journal, Royal Economic Society, vol. 113(485), pages 34-63, February.
    5. Card, David & Payne, A. Abigail, 2002. "School finance reform, the distribution of school spending, and the distribution of student test scores," Journal of Public Economics, Elsevier, vol. 83(1), pages 49-82, January.
    6. 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.
    7. Rouse, Cecilia Elena & Krueger, Alan B., 2004. "Putting computerized instruction to the test: a randomized evaluation of a "scientifically based" reading program," Economics of Education Review, Elsevier, vol. 23(4), pages 323-338, August.
    8. Jonathan Guryan, 2001. "Does Money Matter? Regression-Discontinuity Estimates from Education Finance Reform in Massachusetts," NBER Working Papers 8269, National Bureau of Economic Research, Inc.
    9. van der Klaauw, Wilbert, 2008. "Breaking the link between poverty and low student achievement: An evaluation of Title I," Journal of Econometrics, Elsevier, vol. 142(2), pages 731-756, February.
    10. Hanushek, Eric A, 1986. "The Economics of Schooling: Production and Efficiency in Public Schools," Journal of Economic Literature, American Economic Association, vol. 24(3), pages 1141-1177, September.
    11. Papke, Leslie E., 2005. "The effects of spending on test pass rates: evidence from Michigan," Journal of Public Economics, Elsevier, vol. 89(5-6), pages 821-839, June.
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    More about this item

    Keywords

    policy evaluation; disadvantaged students; computers; teachers; regression discontinuity;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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