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Fertility expectations and residential mobility in Britain

Author

Listed:
  • John Ermisch

    (University of Oxford)

  • Fiona Steele

    (London School of Economics and Political Science)

Abstract

Background: It is plausible that people take into account anticipated changes in family size in choosing where to live. But estimation of the impact of anticipated events on current transitions in an event history framework is challenging because expectations must be measured in some way and, like indicators of past childbearing, expected future childbearing may be endogenous with respect to housing decisions. Objective: The objective of the study is to estimate how expected changes in family size affect residential movement in Great Britain in a way which addresses these challenges. Methods: We use longitudinal data from a mature 18-wave panel survey, the British Household Panel Survey, which incorporates a direct measure of fertility expectations. The statistical methods allow for the potential endogeneity of expectations in our estimation and testing framework. Results: We produce evidence consistent with the idea that past childbearing mainly affects residential mobility through expectations of future childbearing, not directly through the number of children in the household. But there is heterogeneity in response. In particular, fertility expectations have a much greater effect on mobility among women who face lower costs of mobility, such as private tenants. Conclusions: Our estimates indicate that expecting to have a(nother) child in the future increases the probability of moving by about 0.036 on average, relative to an average mobility rate of 0.14 per annum in our sample. Contribution: Our contribution is to incorporate anticipation of future events into an empirical model of residential mobility. We also shed light on how childbearing affects mobility.

Suggested Citation

  • John Ermisch & Fiona Steele, 2016. "Fertility expectations and residential mobility in Britain," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 35(54), pages 1561-1584.
  • Handle: RePEc:dem:demres:v:35:y:2016:i:54
    DOI: 10.4054/DemRes.2016.35.54
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    References listed on IDEAS

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    Cited by:

    1. Maria Rita Testa & Danilo Bolano, 2019. "Intentions and Childbearing in a Cross-Domain Life Course Approach: The Case of Australia," VID Working Papers 1901, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
    2. Maria Rita Testa & Francesco Rampazzo, 2018. "From intentions to births: paths of realisation in a multi-dimensional life course," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 16(1), pages 177-198.
    3. Atalay, Kadir & Li, Ang & Whelan, Stephen, 2021. "Housing wealth, fertility intentions and fertility," Journal of Housing Economics, Elsevier, vol. 54(C).
    4. Júlia Mikolai & Hill Kulu & Clara Mulder, 2020. "Family life transitions, residential relocations, and housing in the life course: Current research and opportunities for future work: Introduction to the Special Collection on “Separation, Divorce, an," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 43(2), pages 35-58.
    5. Janna Bergsvik & Sara Cools & Rannveig K. Hart, 2020. "Explaining residential clustering of fertility," Discussion Papers 939, Statistics Norway, Research Department.
    6. Irakli Japaridze & Nagham Sayour, 2024. "Housing Affordability Crisis and Delayed Fertility: Evidence from the USA," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 43(2), pages 1-34, April.
    7. Janna Bergsvik & Sara Cools & Rannveig K. Hart, 2023. "Explaining Residential Clustering of Large Families," European Journal of Population, Springer;European Association for Population Studies, vol. 39(1), pages 1-28, December.

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    More about this item

    Keywords

    residential mobility; fertility; fertility expectations; United Kingdom;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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