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Funding, School Specialization, and Test Scores: An Evaluation of the Specialist Schools Policy Using Matching Models

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  • Steve Bradley
  • Giuseppe Migali
  • Jim Taylor

Abstract

We evaluate the causal association between the specialist schools policy, a UK reform that has increased funding and encouraged secondary school specialization in particular subjects, and pupils' test score outcomes. Using the National Pupil Database, we estimate difference-in-difference matching models. We find a small, positive, and statistically significant causal effect on test scores at age 16. Pupils from poorer social backgrounds benefited more than pupils from richer backgrounds; pupils from ethnic minority backgrounds benefited less. We disentangle the funding effect from a specialization effect, which yields a relatively large proportionate improvement in test scores in particular subjects.

Suggested Citation

  • Steve Bradley & Giuseppe Migali & Jim Taylor, 2013. "Funding, School Specialization, and Test Scores: An Evaluation of the Specialist Schools Policy Using Matching Models," Journal of Human Capital, University of Chicago Press, vol. 7(1), pages 76-106.
    • Handle: RePEc:ucp:jhucap:doi:10.1086/669203
    DOI: 10.1086/669203
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    1. repec:bla:obuest:v:63:y:2001:i:1:p:115-43 is not listed on IDEAS
    2. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    3. Andrea Ichino & Fabrizia Mealli & Tommaso Nannicini, 2008. "From temporary help jobs to permanent employment: what can we learn from matching estimators and their sensitivity?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(3), pages 305-327.
    4. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    5. Andrew Jenkins & Rosalind Levacic, 2004. "Evaluating the Effectiveness of Specialist Schools," CEE Discussion Papers 0038, Centre for the Economics of Education, LSE.
    6. repec:diw:diwwpp:dp485 is not listed on IDEAS
    7. Lavy, Victor, 2012. "Expanding School Resources and Increasing Time on Task: Effects of a Policy Experiment in Israel on Student Academic Achievement and Behaviour," CAGE Online Working Paper Series 95, Competitive Advantage in the Global Economy (CAGE).
    8. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages 3-33, February.
    9. Caroline Minter Hoxby, 1996. "Are Efficiency and Equity in School Finance Substitutes or Complements?," Journal of Economic Perspectives, American Economic Association, vol. 10(4), pages 51-72, Fall.
    10. Steve Bradley & Giuseppe Migali, 2012. "The direct and indirect effects of education policy on school and post school outcomes," Working Papers 24958831, Lancaster University Management School, Economics Department.
    11. Arild Aakvik, 2001. "Bounding a Matching Estimator: The Case of a Norwegian Training Program," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(1), pages 115-143, February.
    12. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    13. Stephen Machin & Sandra McNally & Costas Meghir, 2004. "Improving Pupil Performance in English Secondary Schools: Excellence in Cities," Journal of the European Economic Association, MIT Press, vol. 2(2-3), pages 396-405, 04/05.
    14. Alan Krueger, 1998. "Reassessing the View that American Schools Are Broken," Working Papers 774, Princeton University, Department of Economics, Industrial Relations Section..
    15. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
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    Cited by:

    1. María Jesús Mancebón & Domingo P. Ximénez-de-Embún & Mauro Mediavilla & José María Gómez-Sancho, 2019. "Does the educational management model matter? New evidence from a quasiexperimental approach," Empirical Economics, Springer, vol. 56(1), pages 107-135, January.
    2. Steve Bradley & Giuseppe Migali, 2014. "The Effects of the Specialist Schools Education Policy on School and Post-School Outcomes in England," LABOUR, CEIS, vol. 28(4), pages 449-465, December.

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