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Human capital consequences of missing out on a grammar school education

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  • Pastore, C.;
  • Jones, A.M.;
Abstract
What is the value added of grammar schools? This paper disentangles the effect of selection into an academic rather than a vocational track from that of individual background on long-term human capital. Identification relies on a fuzzy regression discontinuity design, using entry test scores for grammar schools, selective secondary schools in England, and estimating discontinuities in school assignment directly from the data. We find that for the marginal admitted student, grammar attendance positively affects educational attainment, likely due to higher-ability peers, while adult labour market outcomes and health are not affected. Observed differences in human capital by school type can largely be traced back to background.

Suggested Citation

  • Pastore, C.; & Jones, A.M.;, 2019. "Human capital consequences of missing out on a grammar school education," Health, Econometrics and Data Group (HEDG) Working Papers 19/08, HEDG, c/o Department of Economics, University of York.
    • Handle: RePEc:yor:hectdg:19/08
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    Cited by:

    1. Gorman, Emma & Walker, Ian, 2021. "Heterogeneous effects of missing out on a place at a preferred secondary school in England," Economics of Education Review, Elsevier, vol. 81(C).
    2. Tiina Kuuppelomäki, 2021. "School selectivity and mental health: Evidence from regression discontinuity design," Working Papers 333, Työn ja talouden tutkimus LABORE, The Labour Institute for Economic Research LABORE.

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    More about this item

    Keywords

    selective schooling; human capital; health; fuzzy regression discontinuity design;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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