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The Effect of Extra Funding for Disadvantaged Pupils on Achievement

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Author Info

  • 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.

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Bibliographic Info

Paper provided by Swedish Institute for Social Research in its series Working Paper Series with number 2/2004.

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Length: 36 pages
Date of creation: 07 Jun 2004
Date of revision:
Handle: RePEc:hhs:sofiwp:2004_002

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Keywords: policy evaluation; disadvantaged students; computers; teachers; regression discontinuity;

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References

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  1. Edwin Leuven & Hessel Oosterbeek, 2004. "Evaluating the Effect of Tax Deductions on Training," Journal of Labor Economics, University of Chicago Press, University of Chicago Press, vol. 22(2), pages 461-488, April.
  2. Joshua Angrist & Victor Lavy, 2002. "New Evidence on Classroom Computers and Pupil Learning," Economic Journal, Royal Economic Society, Royal Economic Society, vol. 112(482), pages 735-765, October.
  3. 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, Elsevier, vol. 23(4), pages 323-338, August.
  4. Alan Krueger, 2000. "Economic Considerations and Class Size," Working Papers, Princeton University, Department of Economics, Industrial Relations Section. 826, Princeton University, Department of Economics, Industrial Relations Section..
  5. 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.
  6. Papke, Leslie E., 2005. "The effects of spending on test pass rates: evidence from Michigan," Journal of Public Economics, Elsevier, Elsevier, vol. 89(5-6), pages 821-839, June.
  7. van der Klaauw, Wilbert, 2008. "Breaking the link between poverty and low student achievement: An evaluation of Title I," Journal of Econometrics, Elsevier, Elsevier, vol. 142(2), pages 731-756, February.
  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. Hanushek, Eric A., 2006. "School Resources," Handbook of the Economics of Education, Elsevier, Elsevier.
  10. Hanushek, Eric A, 1986. "The Economics of Schooling: Production and Efficiency in Public Schools," Journal of Economic Literature, American Economic Association, American Economic Association, vol. 24(3), pages 1141-77, September.
  11. 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, Elsevier, vol. 83(1), pages 49-82, January.
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