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Social mobility, regression to the mean and the cognitive development of high ability children from disadvantaged homes

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  • John Jerrim
  • Anna Vignoles

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  • John Jerrim & Anna Vignoles, 2013. "Social mobility, regression to the mean and the cognitive development of high ability children from disadvantaged homes," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(4), pages 887-906, October.
    • Handle: RePEc:bla:jorssa:v:176:y:2013:i:4:p:887-906
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    File URL: http://hdl.handle.net/10.1111/j.1467-985X.2012.01072.x
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    References listed on IDEAS

    as
    1. Leon Feinstein, 2004. "Mobility in Pupils' Cognitive Attainment During School Life," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 20(2), pages 213-229, Summer.
    2. Leon Feinstein, 2003. "Inequality in the Early Cognitive Development of British Children in the 1970 Cohort," Economica, London School of Economics and Political Science, vol. 70(277), pages 73-97, February.
    3. John Jerrim & Anna Vignoles, 2011. "The use (and misuse) of statistics in understanding social mobility: regression to the mean and the cognitive development of high ability children from disadvantaged homes," DoQSS Working Papers 11-01, Quantitative Social Science - UCL Social Research Institute, University College London, revised 20 Apr 2011.
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    Cited by:

    1. Claire Crawford & Lindsey Macmillan & Anna Vignoles, 2015. "When and why do initially high attaining poor children fall behind?," DoQSS Working Papers 15-08, Quantitative Social Science - UCL Social Research Institute, University College London.
    2. Contini, Dalit & Grand, Elisa, 2013. "On Estimating Achievement Dynamic Models from Repeated Cross-Sections," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201343, University of Turin.
    3. David Madden, 2022. "The socio‐economic gradient of cognitive test scores: evidence from two cohorts of Irish children," Fiscal Studies, John Wiley & Sons, vol. 43(3), pages 265-290, September.
    4. Ã lvaro Choi & John Jerrim, 2015. "The use (and misuse) of PISA in guiding policy reform: the case of Spain?," DoQSS Working Papers 15-04, Quantitative Social Science - UCL Social Research Institute, University College London.
    5. Zlata Bruckauf & Yekaterina Chzhen & UNICEF Innocenti Research Centre, 2016. "Poverty and Children’s Cognitive Trajectories: Evidence from the United Kingdom Millennium Cohort Study," Papers inwopa839, Innocenti Working Papers.
    6. Emilia Del Bono & Marco Francesconi & Yvonne Kelly & Amanda Sacker, 2016. "Early Maternal Time Investment and Early Child Outcomes," Economic Journal, Royal Economic Society, vol. 126(596), pages 96-135, October.
    7. Crawford, Claire & Macmillan, Lindsey & Vignoles, Anna F., 2015. "When and why do initially high attaining poor children fall behind?," LSE Research Online Documents on Economics 121535, London School of Economics and Political Science, LSE Library.
    8. 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.
    9. Álvaro Choi & John Jerrim, 2015. "The use (and misuse) of Pisa in guiding policy reform: the case of Spain," Working Papers 2015/6, Institut d'Economia de Barcelona (IEB).
    10. Zlata Bruckauf & Yekaterina Chzhen & UNICEF Innocenti Research Centre, 2016. "Education for All? Measuring inequality of educational outcomes among 15-year-olds across 39 industrialized nations," Papers inwopa843, Innocenti Working Papers.
    11. Alcott, Benjamin & Rose, Pauline, 2017. "Learning in India’s primary schools: How do disparities widen across the grades?," International Journal of Educational Development, Elsevier, vol. 56(C), pages 42-51.
    12. repec:esx:essedp:756 is not listed on IDEAS
    13. Marcus Munafò & Neil M. Davies & George Davey Smith, 2020. "Can genetics reveal the causes and consequences of educational attainment?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(2), pages 681-688, February.
    14. John Jerrim & Anna Vignoles & Raghu Lingam & Angela Friend, 2013. "The socio-economic gradient in children's reading skills and the role of genetics," DoQSS Working Papers 13-10, Quantitative Social Science - UCL Social Research Institute, University College London.
    15. Kate E Mooney & Stephanie L Prady & Mary M Barker & Kate E Pickett & Amanda H Waterman, 2021. "The association between socioeconomic disadvantage and children’s working memory abilities: A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-22, December.
    16. Nicole Black & Danusha Jayawardana & Gawain Heckley, 2023. "Children’s Time Allocation and the Socioeconomic Gap in Human Capital," Papers 2023-06, Centre for Health Economics, Monash University.
    17. Laura Outhwaite & Jake Anders & Jo Van Herwegen, 2022. "Mathematics Attainment Falls Behind Reading in the Early Primary School Years," CEPEO Working Paper Series 22-06, UCL Centre for Education Policy and Equalising Opportunities, revised May 2022.
    18. repec:cep:spccrp:20 is not listed on IDEAS
    19. Thomas, Michael S.C., 2018. "A neurocomputational model of developmental trajectories of gifted children under a polygenic model: When are gifted children held back by poor environments?," Intelligence, Elsevier, vol. 69(C), pages 200-212.
    20. Samantha Parsons & Lucinda Platt, 2014. "Disabled children's cognitive development in the early years," DoQSS Working Papers 14-15, Quantitative Social Science - UCL Social Research Institute, University College London.
    21. Eric R. Nielsen, 2015. "The Income-Achievement Gap and Adult Outcome Inequality," Finance and Economics Discussion Series 2015-41, Board of Governors of the Federal Reserve System (U.S.).

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