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Away from home, better at school. The case of a British boarding school

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  • Foliano, Francesca
  • Green, Francis
  • Sartarelli, Marcello

Abstract

In this paper we study whether substituting family inputs with school resources in an academically oriented environment has an impact on achievement in high-stakes national examinations. We use administrative data for England to estimate the effect of attending a selective boarding school that admits an unusually high share of pupils with low socio-economic status on attainment at the end of compulsory education. By using propensity score matching we obtain comparable control groups in selective non-boarding schools. Our main finding is that the probability of being in the top decile of achievement in the exams increases by about 18 percentage points compared to 59% for controls.

Suggested Citation

  • Foliano, Francesca & Green, Francis & Sartarelli, Marcello, 2019. "Away from home, better at school. The case of a British boarding school," Economics of Education Review, Elsevier, vol. 73(C).
    • Handle: RePEc:eee:ecoedu:v:73:y:2019:i:c:s027277571830150x
    DOI: 10.1016/j.econedurev.2019.101911
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    1. Markus Frölich & Almas Heshmati & Michael Lechner, 2004. "A microeconometric evaluation of rehabilitation of long-term sickness in Sweden," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(3), pages 375-396.
    2. 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.
    3. Andrea Ichino & Fabrizia Mealli & Tommaso Nannicini, 2008. "From temporary help jobs to permanent employment: what can we learn from matching estimators and their sensitivity?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(3), pages 305-327.
    4. Machin, Stephen & McNally, Sandra & Ruiz-Valenzuela, Jenifer, 2020. "Entry through the narrow door: The costs of just failing high stakes exams," Journal of Public Economics, Elsevier, vol. 190(C).
    5. Black, Dan A. & Smith, J.A.Jeffrey A., 2004. "How robust is the evidence on the effects of college quality? Evidence from matching," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 99-124.
    6. Rebecca Allen & Joanne Bartley, 2017. "The Role of the Eleven-Plus Test Papers and Appeals in Producing Social Inequalities in Access to Grammar Schools," National Institute Economic Review, National Institute of Economic and Social Research, vol. 240(1), pages 30-41, May.
    7. Christian Andersson & Per Johansson, 2013. "Social stratification and out-of-school learning," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 679-701, June.
    8. Petra E. Todd & Kenneth I. Wolpin, 2007. "The Production of Cognitive Achievement in Children: Home, School, and Racial Test Score Gaps," Journal of Human Capital, University of Chicago Press, vol. 1(1), pages 91-136.
    9. Vilsa E. Curto & Roland G. Fryer Jr., 2014. "The Potential of Urban Boarding Schools for the Poor: Evidence from SEED," Journal of Labor Economics, University of Chicago Press, vol. 32(1), pages 65-93.
    10. Michael Gerfin & Michael Lechner, 2002. "A Microeconometric Evaluation of the Active Labour Market Policy in Switzerland," Economic Journal, Royal Economic Society, vol. 112(482), pages 854-893, October.
    11. Stephen Machin & Sandra McNally & Jenifer Ruiz-Valenzuela, 2018. "Costs of just failing high-stakes exams," CentrePiece - The magazine for economic performance 534, Centre for Economic Performance, LSE.
    12. Simon Burgess & Ellen Greaves, 2013. "Test Scores, Subjective Assessment, and Stereotyping of Ethnic Minorities," Journal of Labor Economics, University of Chicago Press, vol. 31(3), pages 535-576.
    13. Abadie, Alberto & Imbens, Guido W., 2011. "Bias-Corrected Matching Estimators for Average Treatment Effects," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 1-11.
    14. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages 3-33, February.
    15. Luc Behaghel & Clément de Chaisemartin & Marc Gurgand, 2017. "Ready for Boarding? The Effects of a Boarding School for Disadvantaged Students," American Economic Journal: Applied Economics, American Economic Association, vol. 9(1), pages 140-164, January.
    16. Simon Burgess & Ellen Greaves & Anna Vignoles & Deborah Wilson, 2015. "What Parents Want: School Preferences and School Choice," Economic Journal, Royal Economic Society, vol. 125(587), pages 1262-1289, September.
    17. Lorraine Dearden & Luke Sibieta & Kathy Sylva, 2011. "The socio-economic gradient in early child outcomes: evidence from the Millennium Cohort Study," IFS Working Papers W11/03, Institute for Fiscal Studies.
    18. Michael Lechner, 2002. "Some practical issues in the evaluation of heterogeneous labour market programmes by matching methods," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(1), pages 59-82, February.
    19. Francis Green & Stephen Machin & Richard Murphy & Yu Zhu, 2012. "The Changing Economic Advantage from Private Schools," Economica, London School of Economics and Political Science, vol. 79(316), pages 658-679, October.
    20. Eyles, Andrew & Hupkau, Claudia & Machin, Stephen, 2016. "School reforms and pupil performance," Labour Economics, Elsevier, vol. 41(C), pages 9-19.
    21. Stephen Machin & Sandra McNally & Costas Meghir, 2004. "Improving Pupil Performance in English Secondary Schools: Excellence in Cities," Journal of the European Economic Association, MIT Press, vol. 2(2-3), pages 396-405, 04/05.
    22. Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881, November.
    23. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
    24. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
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    More about this item

    Keywords

    Ability; Achievement gap; Boarding; Education; Grammar school; GCSE; Private school; Socio-economic status; SES;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion

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