IDEAS home Printed from https://ideas.repec.org/a/sae/niesru/v243y2018i1pr4-r16.html
   My bibliography  Save this article

Assessing the Variance in Pupil Attainment: How Important is the School Attended?

Author

Listed:
  • David Wilkinson
  • Alex Bryson
  • Lucy Stokes

Abstract

We explore the variation in pupil attainment at the end of secondary schooling in England. The paper links data on all schools and all pupils within these schools to analyse the role of the school in accounting for this variation. We analyse a number of different indicators of pupil attainment including value added between the end of primary and secondary schooling and attainment levels at the end of secondary schooling. We examine indicators that were the focus of the school accounting framework as well as other indicators that were not directly part of how schools were assessed. We show that schools account for a minority of the variance in pupil attainment, and the extent of the variation accounted for by the school is sensitive to the measure of pupil attainment used. In addition, we find that the majority of the explained school-level variance in attainment is related to school composition. However, most of the variance in attainment remains unexplained, raising questions about what other factors contribute to the variation in school performance.

Suggested Citation

  • David Wilkinson & Alex Bryson & Lucy Stokes, 2018. "Assessing the Variance in Pupil Attainment: How Important is the School Attended?," National Institute Economic Review, National Institute of Economic and Social Research, vol. 243(1), pages 4-16, February.
    • Handle: RePEc:sae:niesru:v:243:y:2018:i:1:p:r4-r16
    as

    Download full text from publisher

    File URL: http://ner.sagepub.com/content/243/1/R4.abstract
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Erling Barth & Alex Bryson & James C. Davis & Richard Freeman, 2016. "It's Where You Work: Increases in the Dispersion of Earnings across Establishments and Individuals in the United States," Journal of Labor Economics, University of Chicago Press, vol. 34(S2), pages 67-97.
    2. Cheti Nicoletti & Birgitta Rabe, 2013. "Inequality in Pupils' Test Scores: How Much do Family, Sibling Type and Neighbourhood Matter?," Economica, London School of Economics and Political Science, vol. 80(318), pages 197-218, April.
    3. Andrew Eyles & Stephen Machin, 2019. "The Introduction of Academy Schools to England's Education," Journal of the European Economic Association, European Economic Association, vol. 17(4), pages 1107-1146.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alex Bryson & Lorenzo Corsini & Irene Martelli, 2022. "Teacher allocation and school performance in Italy," LABOUR, CEIS, vol. 36(4), pages 409-423, December.
    2. Stokes, Lucy & Bryson, Alex & Wilkinson, David, 2019. "What Does Leadership Look like in Schools and Does It Matter for School Performance?," IZA Discussion Papers 12580, Institute of Labor Economics (IZA).

    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. Jae Song & David J Price & Fatih Guvenen & Nicholas Bloom & Till von Wachter, 2019. "Firming Up Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 134(1), pages 1-50.
    2. Labanca, Claudio & Pozzoli, Dario, 2022. "Hours Constraints and Wage Differentials across Firms," IZA Discussion Papers 14992, Institute of Labor Economics (IZA).
    3. da Silveira, Jaylson Jair & Lima, Gilberto Tadeu, 2021. "Wage inequality as a source of endogenous macroeconomic fluctuations," Structural Change and Economic Dynamics, Elsevier, vol. 56(C), pages 35-52.
    4. Paul Anand & Jere R. Behrman & Hai-Anh H. Dang & Sam Jones, 2018. "Inequality of opportunity in education: Accounting for the contributions of Sibs, schools and sorting across East Africa," Working Papers 480, ECINEQ, Society for the Study of Economic Inequality.
    5. Julia Bredtmann & Nina Smith, 2018. "Inequalities in Educational Outcomes: How Important Is the Family?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(6), pages 1117-1144, December.
    6. Matteo G. Richiardi & Luis Valenzuela, 2024. "Firm heterogeneity and the aggregate labour share," LABOUR, CEIS, vol. 38(1), pages 66-101, March.
    7. Erich Battistin & Lorenzo Neri, 2017. "School Performance, Score Inflation and Economic Geography," Working Papers 837, Queen Mary University of London, School of Economics and Finance.
    8. Barth, Erling & Davis, James C. & Freeman, Richard B. & McElheran, Kristina, 2023. "Twisting the demand curve: Digitalization and the older workforce," Journal of Econometrics, Elsevier, vol. 233(2), pages 443-467.
    9. Alex Bryson & Lucy Stokes & David Wilkinson, 2023. "Is pupil attainment higher in well-managed schools?," Education Economics, Taylor & Francis Journals, vol. 31(1), pages 129-144, January.
    10. Reizer, Balázs, 2022. "Employment and Wage Consequences of Flexible Wage Components," Labour Economics, Elsevier, vol. 78(C).
    11. David Deming & Lisa B. Kahn, 2018. "Skill Requirements across Firms and Labor Markets: Evidence from Job Postings for Professionals," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 337-369.
    12. Andrew Eyles & Stephen Machin & Olmo Silva, 2018. "Academies 2 – The New Batch: The Changing Nature of Academy Schools in England," Fiscal Studies, John Wiley & Sons, vol. 39(1), pages 121-158, March.
    13. Eyles, Andrew & Machin, Stephen & McNally, Sandra, 2017. "Unexpected school reform: Academisation of primary schools in England," Journal of Public Economics, Elsevier, vol. 155(C), pages 108-121.
    14. Erling Barth & James Davis & Richard B. Freeman, 2018. "Augmenting the Human Capital Earnings Equation with Measures of Where People Work," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 71-97.
    15. Basu, Arnab K. & Chau, Nancy H. & Soundararajan, Vidhya, 2019. "Wage fairness in a subcontracted labor market," Journal of Economic Behavior & Organization, Elsevier, vol. 168(C), pages 24-42.
    16. Bertoni, Marco & Heller-Sahlgren, Gabriel & Silva, Olma, 2023. "Free to Improve? The Impact of Free School Attendance in England," Working Paper Series 1476, Research Institute of Industrial Economics.
    17. David Card & Ana Rute Cardoso & Joerg Heining & Patrick Kline, 2018. "Firms and Labor Market Inequality: Evidence and Some Theory," Journal of Labor Economics, University of Chicago Press, vol. 36(S1), pages 13-70.
    18. Wenjing Duan & Pedro S. Martins, 2022. "Rent sharing in China: Magnitude, heterogeneity and drivers," British Journal of Industrial Relations, London School of Economics, vol. 60(1), pages 176-219, March.
    19. Hennig, Jan-Luca & Stadler, Balazs, 2021. "Firm-specific pay premiums and the gender wage gap in 21 European countries," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242354, Verein für Socialpolitik / German Economic Association.
    20. Cawley, John & Han, Euna & Kim, Jiyoon & Norton, Edward C., 2023. "Genetic nurture in educational attainment," Economics & Human Biology, Elsevier, vol. 49(C).

    More about this item

    Keywords

    schools; school performance; pupil attainment;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

    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:sae:niesru:v:243:y:2018:i:1:p:r4-r16. 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: SAGE Publications (email available below). General contact details of provider: https://edirc.repec.org/data/niesruk.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.