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Multilevel Models in the Study of Dynamic Household Structures

Author

Listed:
  • Harvey Goldstein

    (University of London)

  • Jon Rasbash

    (University of London)

  • William Browne

    (University of London)

  • Geoffrey Woodhouse

    (University of London)

  • Michel Poulain

    (Université catholique de Louvain)

Abstract

A modelling procedure is proposed for complex, dynamic household data structures where households change composition over time. Multilevel multiple membership models are presented for such data and their application is discussed with an example.

Suggested Citation

  • Harvey Goldstein & Jon Rasbash & William Browne & Geoffrey Woodhouse & Michel Poulain, 2000. "Multilevel Models in the Study of Dynamic Household Structures," European Journal of Population, Springer;European Association for Population Studies, vol. 16(4), pages 373-387, December.
    • Handle: RePEc:spr:eurpop:v:16:y:2000:i:4:d:10.1023_a:1006493723125
    DOI: 10.1023/A:1006493723125
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    References listed on IDEAS

    as
    1. Ian H. Langford & Alistair H. Leyland & Jon Rasbash & Harvey Goldstein, 1999. "Multilevel Modelling of the Geographical Distributions of Diseases," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 48(2), pages 253-268.
    2. Geoffrey Woodhouse & Min Yang & Harvey Goldstein & Jon Rasbash, 1996. "Adjusting for Measurement Error in Multilevel Analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 159(2), pages 201-212, March.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. William J. Browne, 2022. "A celebration of Harvey Goldstein’s lifetime contributions: Memories of working with Harvey Goldstein on multilevel modelling methods and applications," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 753-758, July.
    2. Steele, Fiona & Clarke, Paul & Kuha, Jouni, 2019. "Modeling within-household associations in household panel studies," LSE Research Online Documents on Economics 88162, London School of Economics and Political Science, LSE Library.
    3. Donata Marasini & Piero Quatto & Enrico Ripamonti, 2016. "Intuitionistic fuzzy sets in questionnaire analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(2), pages 767-790, March.
    4. Harvey Goldstein & Simon Burgess & Brendon McConnell, 2006. "Modelling the Impact of Pupil Mobility on School Differences in Educational Achievement," The Centre for Market and Public Organisation 06/156, The Centre for Market and Public Organisation, University of Bristol, UK.
    5. Karl, Andrew T. & Yang, Yan & Lohr, Sharon L., 2013. "Efficient maximum likelihood estimation of multiple membership linear mixed models, with an application to educational value-added assessments," Computational Statistics & Data Analysis, Elsevier, vol. 59(C), pages 13-27.
    6. A., Rjumohan, 2017. "Multi-Dimensional Development – An Application of Fuzzy Set Theory to the Indian States," MPRA Paper 99208, University Library of Munich, Germany.

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