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The mobility of English school children

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  • Machin, Stephen
  • Telhaj, Shqiponja
  • Wilson, Joan

Abstract

In this paper we examine links between pupil mobility and pupil and school characteristics at all levels of compulsory schooling in England. We derive measures of mobility from two academic years of the Pupil Level Annual School Census (PLASC) data, a unique national administrative pupil level longitudinal data source. Our findings suggest that mobile pupils are more socially disadvantaged than non-mobile pupils and are significantly less likely to have a good prior education record. Moreover, we find that pupils are less likely to move if the school they attend has good average performance levels. Finally, when children move school, they are more likely to end up in a school with better Key Stage performance than the one they left, but this improvement is significantly more marked for children from better off backgrounds.

Suggested Citation

  • Machin, Stephen & Telhaj, Shqiponja & Wilson, Joan, 2006. "The mobility of English school children," LSE Research Online Documents on Economics 19414, London School of Economics and Political Science, LSE Library.
    • Handle: RePEc:ehl:lserod:19414
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    References listed on IDEAS

    as
    1. Gibbons, Steve & Machin, Stephen, 2003. "Valuing English primary schools," Journal of Urban Economics, Elsevier, vol. 53(2), pages 197-219, March.
    2. Hanushek, Eric A. & Kain, John F. & Rivkin, Steven G., 2009. "Corrigendum to "Disruption versus Tiebout improvement: The costs and benefits of switching schools" [Journal of Public Economics Volume 88 (2004), pages 1721-1746]," Journal of Public Economics, Elsevier, vol. 93(11-12), pages 1283-1284, December.
    3. Hanushek, Eric A. & Kain, John F. & Rivkin, Steven G., 2004. "Disruption versus Tiebout improvement: the costs and benefits of switching schools," Journal of Public Economics, Elsevier, vol. 88(9-10), pages 1721-1746, August.
    4. Nan Astone & Sara McLanahan, 1994. "Family structure, residential mobility, and school dropout: A research note," Demography, Springer;Population Association of America (PAA), vol. 31(4), pages 575-584, November.
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    Cited by:

    1. Stephen Jivraj, 2012. "Modelling Socioeconomic Neighbourhood Change due to Internal Migration in England," Urban Studies, Urban Studies Journal Limited, vol. 49(16), pages 3565-3578, December.
    2. George Leckie, 2008. "Modelling the Effects of Pupil Mobility and Neighbourhood on School Differences in Educational Achievement," The Centre for Market and Public Organisation 08/189, The Centre for Market and Public Organisation, University of Bristol, UK.
    3. Canals, Catalina & Meneses, Francisco & Serra, Camila, 2015. "Aspectos geográficos de los cambios de estudiantes entre establecimientos escolares [Geographic factor of School Choice]," MPRA Paper 66568, University Library of Munich, Germany, revised Oct 2014.
    4. Daniel Gladwell & Gurleen Popli & Aki Tsuchiya, 2022. "Predictors of becoming not in education, employment or training: A dynamic comparison of the direct and indirect determinants," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 485-514, December.

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    JEL classification:

    • I2 - Health, Education, and Welfare - - Education

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