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The Roles of Cognitive and Non-Cognitive Skills in Moderating the Effects of Mixed-Ability Schools on Long-Term Health

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  • Anirban Basu
  • Andrew M. Jones
  • Pedro Rosa Dias

Abstract

We examine heterogeneity in the impacts of exposure to mixed-ability ‘comprehensive’ schools in adolescence on long-term health and smoking behaviour. We explore the roles that cognitive and non-cognitive skills may play in moderating these impacts. We use data from the 1958 National Child Development Study (NCDS) cohort, whose secondary schooling years lay within the transition years of a major reform that transformed secondary education in England and Wales from a selective system of schooling to mixed-ability comprehensive schools. We adopt a local instrumental variables approach to estimate person-centred treatment (PeT) effects of comprehensive over selective schooling system. Our results indicate that the newer comprehensive schooling system produced significant negative effects on long-term health and increased smoking behavior among a small fraction of individuals, for whom the effects were persistent over time. The ATE and TT were quantitatively similar and statistically insignificant indicating that cognitive abilities, the major driver for selection in to comprehensive schools, did not moderate the effects. The PeT effects indicate that individuals with lower non-cognitive skills were most likely to be negatively affected by exposure to mixed-ability schools. Our results also show that cigarette smoking could be a leading transmission channel of the long-term impact on health outcomes.

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  • Anirban Basu & Andrew M. Jones & Pedro Rosa Dias, 2014. "The Roles of Cognitive and Non-Cognitive Skills in Moderating the Effects of Mixed-Ability Schools on Long-Term Health," NBER Working Papers 20811, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:20811
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    2. Thomas Cornelissen & Christian Dustmann & Anna Raute & Uta Schönberg, 2018. "Who Benefits from Universal Child Care? Estimating Marginal Returns to Early Child Care Attendance," Journal of Political Economy, University of Chicago Press, vol. 126(6), pages 2356-2409.
    3. John Jerrim & Sam Sims, 2020. "Grammar schools: Socio-economic differences in entrance rates and the association with socio-emotional outcomes," DoQSS Working Papers 20-11, Quantitative Social Science - UCL Social Research Institute, University College London.

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    More about this item

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

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