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Modelling Socioeconomic Neighbourhood Change due to Internal Migration in England

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  • Stephen Jivraj

Abstract

In England, deprived neighbourhoods were the focus of a number of policy initiatives constructed by the previous Labour government. The evaluations of these programmes and other earlier interventions have shown that attempts to improve neighbourhood socioeconomic outcomes might be affected by people selectively moving in and out of targeted areas. Nonetheless, there is very little evidence that provides an appreciation of this effect. This paper examines the effect of internal migration on the concentration of low-income families in neighbourhoods in England during 2002–07 using a multilevel growth curve model. Explanatory variables in the model include the regional area and district type of a neighbourhood as well as whether the neighbourhood is ranked within the 20 per cent most deprived in England. The findings suggest that deprived neighbourhoods increase their concentration of poor families at a faster rate than all other neighbourhoods. However, the increase is marginal.

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  • 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.
  • Handle: RePEc:sae:urbstu:v:49:y:2012:i:16:p:3565-3578
    DOI: 10.1177/0042098012446990
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    1. Harvey Goldstein & Jon Rasbash, 1996. "Improved Approximations for Multilevel Models with Binary Responses," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 159(3), pages 505-513, May.
    2. Mark Andrew & Geoffrey Meen, 2006. "Population structure and location choice: A study of London and South East England," Papers in Regional Science, Wiley Blackwell, vol. 85(3), pages 401-419, August.
    3. Steve Machin & Shqiponja Telhaj & Joan Wilson, 2006. "The mobility of English school children," Fiscal Studies, Institute for Fiscal Studies, vol. 27(3), pages 253-280, August.
    4. M. Yang & H. Goldstein & A. Heath, 2000. "Multilevel models for repeated binary outcomes: attitudes and voting over the electoral cycle," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 163(1), pages 49-62.
    5. Germán Rodríguez & Noreen Goldman, 2001. "Improved estimation procedures for multilevel models with binary response: a case‐study," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 164(2), pages 339-355.
    6. S V Subramanian & Craig Duncan & Kelvyn Jones, 2001. "Multilevel Perspectives on Modeling Census Data," Environment and Planning A, , vol. 33(3), pages 399-417, March.
    7. Tony Champion & Mike Coombes, 2007. "Using the 2001 census to study human capital movements affecting Britain's larger cities: insights and issues," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(2), pages 447-467, March.
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    Cited by:

    1. Zwiers, Merle & Bolt, Gideon & van Ham, Maarten & van Kempen, Ronald, 2014. "Neighborhood Decline and the Economic Crisis," IZA Discussion Papers 8749, Institute of Labor Economics (IZA).

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