Measuring school value added with administrative data: the problem of missing variables
AbstractThe 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 schoolsâ€™ intake regarding characteristics such as motherâ€™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 motherâ€™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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Bibliographic InfoPaper provided by Department of Quantitative Social Science - Institute of Education, University of London in its series DoQSS Working Papers with number 11-05.
Date of creation: 17 Jun 2011
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contextualised value added; missing data; informative sample selection; administrative data; UK;
Other versions of this item:
- 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, 06.
- I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
- C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-06-25 (All new papers)
- NEP-EDU-2011-06-25 (Education)
- NEP-LAB-2011-06-25 (Labour Economics)
- NEP-URE-2011-06-25 (Urban & Real Estate Economics)
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- 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, Department of Quantitative Social Science - Institute of Education, University of London.
- 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.
- 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.
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