IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp1122.html
   My bibliography  Save this paper

The Effect of Extra Funding for Disadvantaged Pupils on Achievement

Author

Listed:
  • Leuven, Edwin

    (University of Oslo)

  • Lindahl, Mikael

    (University of Gothenburg)

  • Oosterbeek, Hessel

    (University of Amsterdam)

  • Webbink, Dinand

    (Erasmus University Rotterdam)

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," IZA Discussion Papers 1122, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp1122
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp1122.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. Alan B. Krueger, 2003. "Economic Considerations and Class Size," Economic Journal, Royal Economic Society, vol. 113(485), pages 34-63, February.
    9. 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.
    10. 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.
    11. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bass, Brittany, 2021. "The effect of technology funding on school-level student proficiency," Economics of Education Review, Elsevier, vol. 84(C).
    2. Stephen Gibbons & Sandra McNally, 2013. "The Effects of Resources Across School Phases: A Summary of Recent Evidence," CEP Discussion Papers dp1226, Centre for Economic Performance, LSE.
    3. Dinand Webbink, 2005. "Causal Effects in Education," Journal of Economic Surveys, Wiley Blackwell, vol. 19(4), pages 535-560, September.
    4. Maarten Cornet & Free Huizinga & Bert Minne & Dinand Webbink, 2006. "Successful knowledge policies," CPB Memorandum 158, CPB Netherlands Bureau for Economic Policy Analysis.
    5. Hægeland, Torbjørn & Raaum, Oddbjørn & Salvanes, Kjell G., 2012. "Pennies from heaven? Using exogenous tax variation to identify effects of school resources on pupil achievement," Economics of Education Review, Elsevier, vol. 31(5), pages 601-614.
    6. George Bulman & Robert W. Fairlie, 2015. "Technology and Education: Computers, Software, and the Internet," CESifo Working Paper Series 5570, CESifo.
    7. Haelermans, Carla & De Witte, Kristof, 2012. "The role of innovations in secondary school performance – Evidence from a conditional efficiency model," European Journal of Operational Research, Elsevier, vol. 223(2), pages 541-549.
    8. Marchionni, Mariana & Vazquez, Emmanuel & Pinto, Florencia, 2012. "Desigualdad educativa en la Argentina. Análisis en base a los datos PISA 2009 [Education Inequality in Argentina. An analysis based on PISA 2009 data]," MPRA Paper 56420, University Library of Munich, Germany.
    9. Lai, Fang & Luo, Renfu & Zhang, Linxiu & Huang, Xinzhe & Rozelle, Scott, 2015. "Does computer-assisted learning improve learning outcomes? Evidence from a randomized experiment in migrant schools in Beijing," Economics of Education Review, Elsevier, vol. 47(C), pages 34-48.
    10. Marchionni, Mariana & Pinto, Florencia & Vazquez, Emmanuel, 2013. "Determinantes de la desigualdad en el desempeño educativo en la Argentina [Determinants of the inequality in PISA test scores in Argentina]," MPRA Paper 56421, University Library of Munich, Germany.
    11. Di Mo & Linxiu Zhang & Renfu Luo & Qinghe Qu & Weiming Huang & Jiafu Wang & Yajie Qiao & Matthew Boswell & Scott Rozelle, 2014. "Integrating computer-assisted learning into a regular curriculum: evidence from a randomised experiment in rural schools in Shaanxi," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 6(3), pages 300-323, September.
    12. Kreisman, Daniel & Steinberg, Matthew P., 2019. "The effect of increased funding on student achievement: Evidence from Texas's small district adjustment," Journal of Public Economics, Elsevier, vol. 176(C), pages 118-141.
    13. Lisa Barrow & Cecilia Elena Rouse, 2005. "Causality, causality, causality: the view of education inputs and outputs from economics," Working Paper Series WP-05-15, Federal Reserve Bank of Chicago.
    14. World Bank, 2005. "Mexico : Determinants of Learning Policy Note," World Bank Publications - Reports 8284, The World Bank Group.
    15. Ma, Lingjie & Koenker, Roger, 2006. "Quantile regression methods for recursive structural equation models," Journal of Econometrics, Elsevier, vol. 134(2), pages 471-506, October.
    16. Stephen Machin & Sandra McNally & Olmo Silva, 2007. "New Technology in Schools: Is There a Payoff?," Economic Journal, Royal Economic Society, vol. 117(522), pages 1145-1167, July.
    17. Hall, Caroline & Lundin, Martin & Sibbmark, Kristina, 2019. "A laptop for every child? The impact of ICT on educational outcomes," Working Paper Series 2019:26, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    18. Carrillo, Paul E. & Onofa, Mercedes & Ponce, Juan, 2010. "Information Technology and Student Achievement: Evidence from a Randomized Experiment in Ecuador," IDB Publications (Working Papers) 3094, Inter-American Development Bank.
    19. Patterson, Richard W. & Patterson, Robert M., 2017. "Computers and productivity: Evidence from laptop use in the college classroom," Economics of Education Review, Elsevier, vol. 57(C), pages 66-79.
    20. Eric Brunner & Joshua Hyman & Andrew Ju, 2020. "School Finance Reforms, Teachers' Unions, and the Allocation of School Resources," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 473-489, July.

    More about this item

    Keywords

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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp1122. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.