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Residential proximity of parents and their adult offspring in the United Kingdom, 2009-10

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  • Tak Wing Chan
  • John Ermisch

Abstract

Using data from a large household survey representative of the UK population, we studied how closely parents and adult children live to each other. We show that residential mobility over the life course tends to increase with the physical distance between the homes of parent and child. There are large differences in intergenerational proximity between the foreign-born and UK-born, and between ethnic groups. The determinants of intergenerational proximity from the parent's viewpoint are not identical to those from the child's viewpoint. Contrary to the findings of some earlier studies, intergenerational proximity, from the child's viewpoint, does not vary with the number of siblings. But from the parent's viewpoint, having more children is unambiguously associated with a higher probability of living close to at least one child. We end with a brief discussion of some possible implications of several long-term demographic trends in the UK for intergenerational proximity.

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  • Tak Wing Chan & John Ermisch, 2015. "Residential proximity of parents and their adult offspring in the United Kingdom, 2009-10," Population Studies, Taylor & Francis Journals, vol. 69(3), pages 355-372, November.
    • Handle: RePEc:taf:rpstxx:v:69:y:2015:i:3:p:355-372
    DOI: 10.1080/00324728.2015.1107126
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    Cited by:

    1. John Ermisch & Clara H. Mulder, 2019. "Migration Versus Immobility, and Ties to Parents," European Journal of Population, Springer;European Association for Population Studies, vol. 35(3), pages 587-608, July.
    2. Kuha, Jouni & Zhang, Siliang & Steele, Fiona, 2023. "Latent variable models for multivariate dyadic data with zero inflation: analysis of intergenerational exchanges of family support," LSE Research Online Documents on Economics 116006, London School of Economics and Political Science, LSE Library.
    3. Tak Wing Chan, 2017. "Social Mobility and the Wellbeing of Individuals," DoQSS Working Papers 17-01, Quantitative Social Science - UCL Social Research Institute, University College London.

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