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Widening Participation in Higher Education: Analysis Using Linked Administrative Data

Author

Listed:
  • Haroon Chowdry

    (Institute for Fiscal Studies, 7 Ridgmount Street, London, WC1E 7AE)

  • Claire Crawford

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

  • 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.)

  • Alissa Goodman

    (Institute for Fiscal Studies, 7 Ridgmount Street, London, WC1E 7AE)

  • Anna Vignoles

    (Department of Quantitative Social Science, Institute of Education, University of London. 20 Bedford Way, London WC1H 0AL, UK.)

Abstract

Accurate estimates of the extent of ethnic parity amongst benefit claimants are very important for policymakers who provide interventions for these groups. We use new administrative data on benefit claimants in Great Britain to document differences in labour market outcomes between Ethnic Minority and White claimants, both before and after controlling for rich observable characteristics. We do so using a variety of methods, from OLS to propensity score matching to difference-in-differences. We find that, in many cases, Minorities and Whites are simply too different for satisfactory estimates to be calculated, and that results are sensitive to the methodology used. This calls into question previous results based on simple regression techniques, which may hide the fact that observationally different ethnic groups are being compared by parametric extrapolation. For Income Support and Incapacity Benefit claimants, however, we could calculate satisfactory results. For these groups, large and significant raw penalties almost always disappear once we appropriately control for pre-inflow characteristics.

Suggested Citation

  • Haroon Chowdry & Claire Crawford & Lorraine Dearden & Alissa Goodman & Anna Vignoles, 2010. "Widening Participation in Higher Education: Analysis Using Linked Administrative Data," DoQSS Working Papers 10-08, Quantitative Social Science - UCL Social Research Institute, University College London.
  • Handle: RePEc:qss:dqsswp:1008
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    References listed on IDEAS

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    More about this item

    Keywords

    higher education; widening participation; socio-economic disadvantage; administrative data;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

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