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Model migration schedules incorporating student migration peaks

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  • Tom Wilson

    (Independent researcher)

Abstract

This paper proposes an extension of the standard parameterised model migration schedule to account for highly age-concentrated student migration. Many age profiles of regional migration are characterised by sudden ‘spiked’ increases in migration intensities in the late teenage years, which are related to leaving school, and, in particular, to entry into higher education. The standard model schedule does not appear to be effective in describing the pattern at these ages. This paper therefore proposes an extension of the standard model through the addition of a student curve. The paper also describes a relatively simple Microsoft Excel-based fitting procedure. By way of illustration, both student peak and standard model schedules are fitted to the age patterns of internal migration for two Australian regions that experience substantial student migration. The student peak schedule is shown to provide an improved model of these migration age profiles. Illustrative population projections are presented to demonstrate the differences that result when model migration schedules with and without student peaks are used.

Suggested Citation

  • Tom Wilson, 2010. "Model migration schedules incorporating student migration peaks," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 23(8), pages 191-222.
  • Handle: RePEc:dem:demres:v:23:y:2010:i:8
    DOI: 10.4054/DemRes.2010.23.8
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    References listed on IDEAS

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    1. David A. Plane & Frank Heins, 2003. "Age articulation of U.S. inter-metropolitan migration flows," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 37(1), pages 107-130, February.
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    Cited by:

    1. Aude Bernard & Sunganani Kalemba, 2022. "Internal migration and the de-standardization of the life course: A sequence analysis of reasons for migrating," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 46(12), pages 337-354.
    2. Sigurd Dyrting & Andrew Taylor & Tom Wilson, 2024. "Application of P-TOPALS for Smoothing Input Data for Population Projections ‘At the Edge’," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 43(2), pages 1-28, April.
    3. Jack DeWaard & Janna Johnson & Stephan D. Whitaker, 2019. "Internal Migration in the United States: A Comprehensive Comparative Assessment of the Consumer Credit Panel," Working Papers 18-04R, Federal Reserve Bank of Cleveland.
    4. Sigurd Dyrting & Andrew Taylor, 2021. "Smoothing destination-specific migration flows," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(2), pages 359-383, October.
    5. Ilya Kashnitsky & Nikita Mkrtchyan & Oleg Leshukov, 2016. "Interregional Migration of Youths in Russia: A Comprehensive Analysis of Demographic Statistics," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 3, pages 169-203.
    6. Aude Bernard & Martin Bell, 2015. "Smoothing internal migration age profiles for comparative research," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 32(33), pages 915-948.
    7. Sigurd Dyrting, 2020. "Smoothing migration intensities with P-TOPALS," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 43(55), pages 1607-1650.
    8. Jack DeWaard & Janna Johnson & Stephan Whitaker, 2019. "Internal migration in the United States: A comprehensive comparative assessment of the Consumer Credit Panel," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 41(33), pages 953-1006.
    9. Antosik, Liubov & Ivashina, Natalya, 2019. "Modeling of spatial dependence in the migration flows of graduates of the higher education institutions of the Russian Federation," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 54, pages 70-89.

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    More about this item

    Keywords

    Australia; population projection; model migration schedule; student migration; Microsoft Excel;
    All these keywords.

    JEL classification:

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

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