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Resources and Standards in Urban Schools

Author

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  • Stephen Machin
  • Sandra McNally
  • Costas Meghir

Abstract

Despite being central to education policy, there remains significant debate about the extent to which resources matter for pupil outcomes. We consider this in the context of an English policy initiative aimed at inner-city secondary schools. Results show a positive impact on school attendance and performance in mathematics. There is marked heterogeneity, with the greatest positive impact in the more disadvantaged schools and on students of middle/high ability within these schools. We conclude that additional resources can matter for children in the poorest schools. However, small changes in resources have little effect on "hard-to-reach" children.

Suggested Citation

  • Stephen Machin & Sandra McNally & Costas Meghir, 2010. "Resources and Standards in Urban Schools," Journal of Human Capital, University of Chicago Press, vol. 4(4), pages 365-393.
  • Handle: RePEc:ucp:jhucap:doi:10.1086/658634
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Rodríguez-Planas, Núria, 2010. "Longer-Term Impacts of Mentoring, Educational Services, and Incentives to Learn: Evidence from a Randomized Trial," IZA Discussion Papers 4754, Institute for the Study of Labor (IZA).
    2. Steve Bradley & Jim Taylor, 2010. "Diversity, Choice and the Quasi-market: An Empirical Analysis of Secondary Education Policy in England," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(1), pages 1-26, February.
    3. repec:wly:econjl:v:127:y:2017:i:599:p:177-198 is not listed on IDEAS
    4. Stephen Gibbons & Sandra McNally & Martina Viarengo, 2018. "Does Additional Spending Help Urban Schools? An Evaluation Using Boundary Discontinuities," Journal of the European Economic Association, European Economic Association, vol. 16(5), pages 1618-1668.
    5. Helena Holmlund & Olmo Silva, 2014. "Targeting Noncognitive Skills to Improve Cognitive Outcomes: Evidence from a Remedial Education Intervention," Journal of Human Capital, University of Chicago Press, vol. 8(2), pages 126-160.
    6. Gibbons, Stephen & Machin, Stephen & Silva, Olmo, 2013. "Valuing school quality using boundary discontinuity," LSE Research Online Documents on Economics 45246, London School of Economics and Political Science, LSE Library.
    7. J Taylor & S Bradley & G Migali, 2009. "The distributional impact of increased school resources: the Specialist Schools Initiative and the Excellence in Cities Programme," Working Papers 602528, Lancaster University Management School, Economics Department.
    8. Gibbons, Stephen & Machin, Stephen & Silva, Olmo, 2013. "Valuing school quality using boundary discontinuities," Journal of Urban Economics, Elsevier, vol. 75(C), pages 15-28.
    9. Monique De Haan, 2017. "The Effect of Additional Funds for Low‐ability Pupils: A Non‐parametric Bounds Analysis," Economic Journal, Royal Economic Society, vol. 127(599), pages 177-198, February.
    10. Nerea Gómez-Fernández & Mauro Mediavilla, 2018. "Do information and communication technologies (ICT) improve educational outcomes? Evidence for Spain in PISA 2015," Working Papers 2018/20, Institut d'Economia de Barcelona (IEB).
    11. Machin, Stephen & Wyness, Gill & McNally, Sandra, 2013. "Education in a devolved Scotland: a quantitative analysis," LSE Research Online Documents on Economics 57971, London School of Economics and Political Science, LSE Library.
    12. Meg Elkins & Simon Feeny & David Prentice, 2015. "Do Poverty Reduction Strategy Papers reduce poverty and improve well-being?," Discussion Papers 15/02, University of Nottingham, School of Economics.
    13. 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.
    14. Deborah A. Cobb-Clark & Nikhil Jha, 2016. "Educational Achievement and the Allocation of School Resources," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 49(3), pages 251-271, September.

    More about this item

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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