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Measuring School Value Added with Administrative Data: The Problem of Missing Variables

Author

Listed:
  • Lorraine Dearden
  • Alfonso Miranda
  • Sophia Rabe‐Hesketh

Abstract

The UK Department for Education (DfE) calculates contextualised value added (CVA) measures of school performance using administrative data that contain only a limited set of explanatory variables. Differences on schools’ intake regarding characteristics such as mother’s education are not accounted for due to the lack of background information in the data. In this paper we use linked survey and administrative data to assess the potential biases that missing control variables cause in the calculation of CVA measures of school performance. We find that ignoring the effect of mother’s education leads DfE to erroneously over-penalise low achieving schools that have a greater proportion of mothers with low qualifications and to over-reward high achieving schools that have a greater proportion of mothers with higher qualifications. This suggests that collecting a rich set of controls in administrative records is necessary for producing reliable CVA measures of school performance.
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Suggested Citation

  • Lorraine Dearden & Alfonso Miranda & Sophia Rabe‐Hesketh, 2011. "Measuring School Value Added with Administrative Data: The Problem of Missing Variables," Fiscal Studies, Institute for Fiscal Studies, vol. 32(2), pages 263-278, June.
    • Handle: RePEc:ifs:fistud:v:32:y:2011:i::p:263-278
    DOI: j.1475-5890.2011.00136.x
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    File URL: http://hdl.handle.net/10.1111/j.1475-5890.2011.00136.x
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    Cited by:

    1. Schnepf, Sylke V. & Durrant, Gabriele B. & Micklewright, John, 2014. "Which Schools and Pupils Respond to Educational Achievement Surveys? A Focus on the English PISA Sample," IZA Discussion Papers 8411, Institute of Labor Economics (IZA).
    2. Gabriele B. Durrant & Sylke V. Schnepf, 2018. "Which schools and pupils respond to educational achievement surveys?: a focus on the English Programme for International Student Assessment sample," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(4), pages 1057-1075, October.
    3. Lucy Prior & John Jerrim & Dave Thomson & George Leckie, 2021. "A review and evaluation of secondary school accountability in England: Statistical strengths, weaknesses, and challenges for 'Progress 8' raised by COVID-19," CEPEO Working Paper Series 21-04, UCL Centre for Education Policy and Equalising Opportunities, revised Apr 2021.
    4. Sofia N. Andreou & Panos Pashardes, 2012. "Consumers’ Valuation of Level and Egalitarian Education Attainment of Schools in England," University of Cyprus Working Papers in Economics 10-2012, University of Cyprus Department of Economics.
    5. Alfonso Miranda & Sophia Rabe-Hesketh & John W. McDonald, 2012. "Reducing bias due to missing values of the response variable by joint modeling with an auxiliary variable," DoQSS Working Papers 12-05, Quantitative Social Science - UCL Social Research Institute, University College London.
    6. Doris, Aedin & O'Neill, Donal & Sweetman, Olive, 2019. "Good Schools or Good Students? The Importance of Selectivity for School Rankings," IZA Discussion Papers 12459, Institute of Labor Economics (IZA).
    7. Oketch, Moses & Rolleston, Caine & Rossiter, Jack, 2021. "Diagnosing the learning crisis: What can value-added analysis contribute?," International Journal of Educational Development, Elsevier, vol. 87(C).
    8. Sofia N. Andreou & Panos Pashardes, 2013. "Consumers’ Valuation of Academic and Equality-inducing Aspects of School Performance in England," University of Cyprus Working Papers in Economics 09-2013, University of Cyprus Department of Economics.
    9. Lucy Prior & John Jerrim & Dave Thomson & George Leckie, 2021. "A review and evaluation of secondary school accountability in England: Statistical strengths, weaknesses, and challenges for ‘Progress 8’ raised by COVID-19," DoQSS Working Papers 21-12, Quantitative Social Science - UCL Social Research Institute, University College London.

    More about this item

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General

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