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Administrative Data and Economic Policy Evaluation

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  • Lorraine Dearden

    (Institute for Fiscal Studies, 7 Ridgmount Street, London, WC1E 7AE; Institute of Education, University of London, 20 Bedford Way, London WC1H 0AL, UK.)

Abstract

This paper looks at the strengths and weaknesses of using administrative data for economic policy evaluation. It does this by looking at how school administrative data has been used to assess school effectiveness and the impact of month of birth on educational outcomes with varying degrees of success. It concludes that if there is some natural experiment in the way the education is delivered or an education initiative is introduced, then schools’ administrative data offers the opportunity of answering questions of extreme policy interest in a robust way – even without rich background information on the students and their families.

Suggested Citation

  • Lorraine Dearden, 2010. "Administrative Data and Economic Policy Evaluation," DoQSS Working Papers 10-14, Quantitative Social Science - UCL Social Research Institute, University College London.
    • Handle: RePEc:qss:dqsswp:1014
    as

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    File URL: https://repec.ucl.ac.uk/REPEc/pdf/qsswp1014.pdf
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    References listed on IDEAS

    as
    1. Haroon Chowdry & Claire Crawford & Lorraine Dearden & Alissa Goodman & Anna Vignoles, 2013. "Widening participation in higher education: analysis using linked administrative data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(2), pages 431-457, February.
    2. Claire Crawford & Lorraine Dearden & Costas Meghir, 2010. "When you are born matters: the impact of date of birth on educational outcomes in England," IFS Working Papers W10/06, Institute for Fiscal Studies.
    3. George Leckie & Harvey Goldstein, 2009. "The limitations of using school league tables to inform school choice," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(4), pages 835-851, October.
    4. Ladd, Helen F. & Walsh, Randall P., 2002. "Implementing value-added measures of school effectiveness: getting the incentives right," Economics of Education Review, Elsevier, vol. 21(1), pages 1-17, February.
    5. Harvey Goldstein & David J. Spiegelhalter, 1996. "League Tables and Their Limitations: Statistical Issues in Comparisons of Institutional Performance," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 159(3), pages 385-409, May.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    administrative data; evaluation methods; school league tables; month of birth; natural experiment;
    All these keywords.

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • I20 - Health, Education, and Welfare - - Education - - - General

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