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Investigating non-ignorable dropout in panel studies of residential mobility

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  • Elizabeth Washbrook
  • Paul S. Clarke
  • Fiona Steele

Abstract

type="main" xml:id="rssc12028-abs-0001"> We consider the effect of non-ignorable dropout in the analysis of residential mobility in household panel surveys. To investigate the effect of such dropout, we consider two types of selection model: the first allows dropout to depend directly on the individual's potentially missing moving status, and the second is a Heckman-type selection model with correlated errors. We discuss the identification and estimation of these models and use simulations to study the role of exclusion restrictions in minimizing the dependence of inferences on unverifiable parametric assumptions. The models are both applied to data from the British Household Panel Survey.

Suggested Citation

  • Elizabeth Washbrook & Paul S. Clarke & Fiona Steele, 2014. "Investigating non-ignorable dropout in panel studies of residential mobility," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 63(2), pages 239-266, February.
    • Handle: RePEc:bla:jorssc:v:63:y:2014:i:2:p:239-266
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    File URL: http://hdl.handle.net/10.1111/rssc.2014.63.issue-2
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    Citations

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    Cited by:

    1. Steele, Fiona & Grundy, Emily, 2021. "Random effects dynamic panel models for unequally-spaced multivariate categorical repeated measures: an application to child-parent exchanges of support," LSE Research Online Documents on Economics 106255, London School of Economics and Political Science, LSE Library.
    2. 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.
    3. Timothy Morris, 2017. "Examining the influence of major life events as drivers of residential mobility and neighbourhood transitions," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 36(35), pages 1015-1038.
    4. Zhu, Yajing & Steele, Fiona & Moustaki, Irini, 2020. "A multilevel structural equation model for the interrelationships between multiple latent dimensions of childhood socio‐economic circumstances, partnership transitions and mid‐life health," LSE Research Online Documents on Economics 103104, London School of Economics and Political Science, LSE Library.
    5. Yajing Zhu & Fiona Steele & Irini Moustaki, 2020. "A multilevel structural equation model for the interrelationships between multiple latent dimensions of childhood socio‐economic circumstances, partnership transitions and mid‐life health," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 1029-1050, June.
    6. Kirsten van Houdt, 2023. "Separation as an accelerator of housing inequalities: Parents’ and children’s post-separation housing careers in Sweden," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 49(4), pages 47-82.
    7. John Ermisch, 2021. "English fertility heads south: Understanding the recent decline," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 45(29), pages 903-916.
    8. Marco Doretti & Sara Geneletti & Elena Stanghellini, 2016. "Tackling non-ignorable dropout in the presence of time varying confounding," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 65(5), pages 775-795, November.
    9. Júlia Mikolai & Hill Kulu, 2018. "Divorce, Separation, and Housing Changes: A Multiprocess Analysis of Longitudinal Data from England and Wales," Demography, Springer;Population Association of America (PAA), vol. 55(1), pages 83-106, February.
    10. Kevin Ralston & Vernon Gayle & Paul Lambert, 2016. "Gender, Occupation and First Birth: Do ‘Career Men’ Delay First Birth Too?," Sociological Research Online, , vol. 21(1), pages 90-101, February.
    11. Fiona Steele & Emily Grundy, 2021. "Random effects dynamic panel models for unequally spaced multivariate categorical repeated measures: an application to child–parent exchanges of support," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(1), pages 3-23, January.

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