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Researching the Links between School Resources and Student Outcomes in the UK: A Review of Issues and Evidence

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  • Rosalind Levacic
  • Anna Vignoles

Abstract

Knowledge of the effect of school resources on student outcomes is important for policy decisions concerning expenditure on schools. However, empirical research has so far produced equivocal findings. This paper examines the methodological and data requirements for good quality estimation of the education production function and reviews four UK studies that use pupil-level longitudinal data with a range of resource and control variables. These have produced some evidence of small resource effects on student outcomes and indicate the importance of model specification in affecting reported findings. If research in this area is to progress, high quality datasets are essential.

Suggested Citation

  • Rosalind Levacic & Anna Vignoles, 2002. "Researching the Links between School Resources and Student Outcomes in the UK: A Review of Issues and Evidence," Education Economics, Taylor & Francis Journals, vol. 10(3), pages 313-331.
  • Handle: RePEc:taf:edecon:v:10:y:2002:i:3:p:313-331 DOI: 10.1080/09645290210127534
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    References listed on IDEAS

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    Cited by:

    1. Pablo Brañas-Garza & Juan C. Cárdenas & Máximo Rossi, 2009. "Gender, education and reciprocal generosity: Evidence from 1,500 experiment subjects," Working Papers 128, ECINEQ, Society for the Study of Economic Inequality.
    2. Masci, Chiara & Ieva, Francesca & Agasisti, Tommaso & Paganoni, Anna Maria, 2016. "Does class matter more than school? Evidence from a multilevel statistical analysis on Italian junior secondary school students," Socio-Economic Planning Sciences, Elsevier, vol. 54(C), pages 47-57.
    3. Pierre-Philippe Combes & Gilles Duranton & Laurent Gobillon & Sébastien Roux, 2010. "Estimating Agglomeration Economies with History, Geology, and Worker Effects," NBER Chapters,in: Agglomeration Economics, pages 15-66 National Bureau of Economic Research, Inc.
    4. Francis Kramarz & Stephen Machin & Amine Ouazad, 2008. "What Makes a Test Score ? The Respective Contributions of Pupils, Schools and Peers in Achievement in English Primary Education," Working Papers 2008-21, Center for Research in Economics and Statistics.
    5. Denny, Kevin & Oppedisano, Veruska, 2013. "The surprising effect of larger class sizes: Evidence using two identification strategies," Labour Economics, Elsevier, vol. 23(C), pages 57-65.
    6. Gianni De Fraja & Tania Oliveira & Luisa Zanchi, 2010. "Must Try Harder: Evaluating the Role of Effort in Educational Attainment," The Review of Economics and Statistics, MIT Press, pages 577-597.
    7. 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.
    8. BenDavid-Hadar, Iris & Ziderman, Adrian, 2010. "A New Model for Equitable and Efficient Resource Allocation to Schools: The Israeli Case," IZA Discussion Papers 4822, Institute for the Study of Labor (IZA).
    9. Gibbons, Stephen & Machin, Stephen & Silva, Olmo, 2013. "Valuing school quality using boundary discontinuities," Journal of Urban Economics, Elsevier, vol. 75(C), pages 15-28.
    10. Patron, Rossana, 2005. "Enhancing the public provision of education," IOB Working Papers 2005.03, Universiteit Antwerpen, Institute of Development Policy (IOB).
    11. 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.
    12. Polcyn, Jan, 2017. "Edukacja jako dobro publiczne - próba kwantyfikacji
      [Education as a public good – an attempt at quantification]
      ," MPRA Paper 76606, University Library of Munich, Germany, revised 2017.
    13. Rossana Patrón, 2009. "Trade liberalization in a Heckscher–Ohlin model: Does public skill formation change the conventional results?," Documentos de Trabajo (working papers) 1809, Department of Economics - dECON.
    14. Cordero, José Manuel & Santín, Daniel & Sicilia, Gabriela, 2013. "Dealing with the Endogeneity Problem in Data Envelopment Analysis," MPRA Paper 47475, University Library of Munich, Germany.
    15. Agasisti, Tommaso & Longobardi, Sergio, 2014. "Inequality in education: Can Italian disadvantaged students close the gap?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 52(C), pages 8-20.
    16. Henry Kinnucan & Yuqing Zheng & Gerald Brehmer, 2006. "State Aid and Student Performance: A Supply-Demand Analysis," Education Economics, Taylor & Francis Journals, pages 487-509.
    17. Henry W. KINNUCAN & Martin D. SMITH & Yuqing ZHENG & Jose R. LLANES, 2012. "The Effects of No Child Left Behind on Student Performance in Alabama’s Rural Schools," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 12(1), pages 5-24.
    18. Tommaso Agasisti & Sergio Longobardi, 2012. "Inequality in education: can Italian disadvantaged students close the gap? A focus on resilience in the Italian school system," Working Papers 2012/39, Institut d'Economia de Barcelona (IEB).
    19. Gianni De Fraja & Tania Oliveira & Luisa Zanchi, 2010. "Must Try Harder: Evaluating the Role of Effort in Educational Attainment," The Review of Economics and Statistics, MIT Press, pages 577-597.

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