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Modelling the occupational assimilation of immigrants by ancestry, age group and generational differences in Australia: a random effects approach to a large table of counts

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  • Kelvyn Jones
  • Dewi Owen
  • Ron Johnston
  • James Forrest
  • David Manley

Abstract

A novel exploratory approach is developed to the analysis of a large table of counts. It uses random-effects models where the cells of the table (representing types of individuals) form the higher level in a multilevel model. The model includes Poisson variation and an offset to model the ratio of observed to expected values thereby permitting the analysis of relative rates. The model is estimated as a Bayesian model through MCMC procedures and the estimates are precision-weighted so that unreliable rates are down-weighted in the analysis. Once reliable rates have been obtained graphical and tabular analysis can be deployed. The analysis is illustrated through a study of the occupational class distribution for people of different age, birthplace-origin and generation in Australia. The case is also made that even where there is a full census there is a need to move beyond a descriptive analysis to a proper inferential and modelling framework. We also discuss the relative merits of Full and Empirical Bayes approaches to model estimation. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Kelvyn Jones & Dewi Owen & Ron Johnston & James Forrest & David Manley, 2015. "Modelling the occupational assimilation of immigrants by ancestry, age group and generational differences in Australia: a random effects approach to a large table of counts," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(6), pages 2595-2615, November.
    • Handle: RePEc:spr:qualqt:v:49:y:2015:i:6:p:2595-2615
    DOI: 10.1007/s11135-014-0130-8
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    References listed on IDEAS

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    1. George J. Borjas, 2021. "Ethnic Capital And Intergenerational Mobility," World Scientific Book Chapters, in: Foundational Essays in Immigration Economics, chapter 6, pages 107-134, World Scientific Publishing Co. Pte. Ltd..
    2. W. J. Browne & S. V. Subramanian & K. Jones & H. Goldstein, 2005. "Variance partitioning in multilevel logistic models that exhibit overdispersion," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 168(3), pages 599-613, July.
    3. Sweetman, A. & van Ours, J.C., 2014. "Immigration : What About the Children and Grandchildren?," Other publications TiSEM cc9b5625-5c92-41b6-a1a4-f, Tilburg University, School of Economics and Management.
    4. Germáan Rodríguez & Noreen Goldman, 1995. "An Assessment of Estimation Procedures for Multilevel Models with Binary Responses," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 158(1), pages 73-89, January.
    5. Jones, Hayley E. & Spiegelhalter, David J., 2011. "The Identification of “Unusual†Health-Care Providers From a Hierarchical Model," The American Statistician, American Statistical Association, vol. 65(3), pages 154-163.
    6. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
    7. Thomas J. Steenburgh & Andrew Ainslie & Peder Hans Engebretson, 2003. "Massively Categorical Variables: Revealing the Information in Zip Codes," Marketing Science, INFORMS, vol. 22(1), pages 40-57, August.
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    Cited by:

    1. Phil Mike Jones & Jon Minton & Andrew Bell, 2023. "Methods for disentangling period and cohort changes in mortality risk over the twentieth century: comparing graphical and modelling approaches," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3219-3239, August.
    2. Ron Johnston & James Forrest & Kelvyn Jones & David Manley & Dewi Owen, 2015. "The melting-pot and the economic integration of immigrant families: ancestral and generational variations in Australia," Environment and Planning A, , vol. 47(12), pages 2663-2682, December.

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