IDEAS home Printed from https://ideas.repec.org/a/spr/joprea/v42y2025i3d10.1007_s12546-025-09379-w.html
   My bibliography  Save this article

A proof-of-concept model of Australia’s overseas migration system: projecting temporary and permanent populations, visa switching, and visa-specific migration flows

Author

Listed:
  • Tom Wilson

    (Advanced Demographic Modelling)

  • Jeromey Temple

    (The University of Melbourne)

  • Aude Bernard

    (The University of Queensland)

  • Charles Siriban

    (The University of Queensland)

Abstract

Forecasting net overseas migration (NOM) is very challenging, as demonstrated by the fact that most NOM forecasts in Australia prove wide of the mark not just in the long-run but even within the first one or two years of the forecast horizon. The forecasting challenges include: (1) a complex migration system in which the Australian Government sets the number of permanent residence visas it will make available each year and makes regular changes to migration rules and processes, (2) NOM data which undergoes non-trivial revisions between preliminary and revised versions, (3) hard-to-predict global economic and political trends which affect international migration patterns, and (4) limited understanding and data on moves between visa and citizenship statuses within Australia. This paper attempts to address the last of these challenges. It presents a proof-of-concept model of the Australian migration system, the first to incorporate immigration and emigration flows by visa/citizenship category and, importantly, shifts between these categories within Australia. We used data from ABS overseas migration statistics, Estimated Resident Populations, the Australian Census of Population and Housing, and the Person-Level Integrated Data Asset (PLIDA). The population groups consist of Australian citizens, permanent residents, international student temporary visa holders, other temporary visa holders, and New Zealand citizens. We then created a population projection model to produce illustrative population scenarios for the future, including (1) retention of current migration policy settings, (2) a smaller Migration Program and a cap on international student immigration, and (3) a hypothetical global pandemic. The model permits policy settings to be included in projection assumptions, incorporates several feedback effects, and generates non-linear projections of NOM in many cases. The main limitation currently is the quality of some of the input data, but our proof-of-concept model has important implications for forecasting and policy-based scenario analysis in other high-immigration countries.

Suggested Citation

  • Tom Wilson & Jeromey Temple & Aude Bernard & Charles Siriban, 2025. "A proof-of-concept model of Australia’s overseas migration system: projecting temporary and permanent populations, visa switching, and visa-specific migration flows," Journal of Population Research, Springer, vol. 42(3), pages 1-25, September.
  • Handle: RePEc:spr:joprea:v:42:y:2025:i:3:d:10.1007_s12546-025-09379-w
    DOI: 10.1007/s12546-025-09379-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12546-025-09379-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12546-025-09379-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Mathew E. Hauer & Carl P. Schmertmann, 2020. "Population Pyramids Yield Accurate Estimates of Total Fertility Rates," Demography, Springer;Population Association of America (PAA), vol. 57(1), pages 221-241, February.
    2. Aslan Zorlu & Clara Mulder, 2008. "Initial and Subsequent Location Choices of Immigrants to the Netherlands," Regional Studies, Taylor & Francis Journals, vol. 42(2), pages 245-264.
    3. Tom Wilson, 2017. "Can international migration forecasting be improved? The case of Australia," Migration Letters, Migration Letters, vol. 14(2), pages 285-299, May.
    4. Jeromey B. Temple & Peter F. McDonald, 2018. "Australian migration propensities by visa class: an analysis of linked administrative data," Journal of Population Research, Springer, vol. 35(4), pages 399-416, December.
    5. Aude Bernard & Tom Wilson & Anthony Kimpton & Neil Argent & Tomasz Zając & Jing Wu, 2024. "The pitfalls and benefits of using administrative data for internal migration research: An evaluation of Australia’s Person Level Integrated Data Asset (PLIDA)," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 51(22), pages 687-722.
    6. James Raymer & Yanlin Shi & Qing Guan & Bernard Baffour & Tom Wilson, 2018. "The Sources and Diversity of Immigrant Population Change in Australia, 1981–2011," Demography, Springer;Population Association of America (PAA), vol. 55(5), pages 1777-1802, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dagmara Laukova & Aude Bernard & Toan Nguyen & Thomas Sigler, 2022. "The role of visa class in the location choices of immigrants in Australia at the regional and neighbourhood scales," Journal of Population Research, Springer, vol. 39(2), pages 201-231, June.
    2. James Raymer & Xujing Bai & Nan Liu, 2020. "The dynamic complexity of Australia’s immigration and emigration flows from 1981 to 2016," Journal of Population Research, Springer, vol. 37(3), pages 213-242, September.
    3. Jeroen van der Waal, 2012. "Post-industrialisation, Immigration and Unemployment: How and Why the Impact of Immigration on Unemployment Differs between Dutch Cities," Urban Studies, Urban Studies Journal Limited, vol. 49(8), pages 1711-1724, June.
    4. Rikke Skovgaard Nielsen, 2016. "Straight-line Assimilation in Leaving Home? A Comparison of Turks, Somalis and Danes," Housing Studies, Taylor & Francis Journals, vol. 31(6), pages 631-650, September.
    5. Omenti, Riccardo & Alexander, Monica & Barban, Nicola, 2025. "Bayesian Indirect Estimation of Historical Fertility in Europe and US Using Online Genealogical Data," OSF Preprints ygt2k_v1, Center for Open Science.
    6. Konstantinos Pouliakas & Deborah Roberts & Eudokia Balamou & Dimitris Psaltopoulos, 2014. "Modelling the Effects of Immigration on Regional Economic Performance and Wage Distribution: A Computable General Equilibrium (CGE) Analysis of Three European Union Regions," Regional Studies, Taylor & Francis Journals, vol. 48(2), pages 318-338, February.
    7. Kitty Lymperopoulou, 2020. "Immigration and Ethnic Diversity in England and Wales Examined Through an Area Classification Framework," Journal of International Migration and Integration, Springer, vol. 21(3), pages 829-846, September.
    8. Philip Rees & Tom Wilson, 2023. "Accuracy of Local Authority Population Forecasts Produced by a New Minimal Data Model: A Case Study of England," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(6), pages 1-30, December.
    9. Arthur Acolin, 2019. "Housing trajectories of immigrants and their children in France: Between integration and stratification," Urban Studies, Urban Studies Journal Limited, vol. 56(10), pages 2021-2039, August.
    10. Jeroen van der Waal, 2013. "Foreign Direct Investment and International Migration to Dutch Cities," Urban Studies, Urban Studies Journal Limited, vol. 50(2), pages 294-311, February.
    11. Dan Olner & Gwilym Pryce & Maarten van Ham & Heleen Janssen, 2024. "The conflicting geographies of social frontiers: Exploring the asymmetric impacts of social frontiers on household mobility in Rotterdam," Environment and Planning B, , vol. 51(3), pages 625-640, March.
    12. Massimiliano Crisci & Michele Santurro, 2023. "Micro-Segregation of Ethnic Minorities in Rome: Highlighting Specificities of National Groups in Micro-Segregated Areas," Land, MDPI, vol. 12(10), pages 1-24, October.
    13. Zhishan Ma & Susu Zhang & Sidong Zhao, 2021. "Study on the Spatial Pattern of Migration Population in Egypt and Its Flow Field Characteristics from the Perspective of “Source-Flow-Sink”," Sustainability, MDPI, vol. 13(1), pages 1-27, January.
    14. Pouliakas, Konstantinos & Roberts, Deborah & Balamou, Eudokia & Psaltopoulos, Dimitris, 2008. "Modelling the Effects of Immigration on Regional Economic Performance and the Wage Distribution: A CGE Analysis of Three EU Regions," MPRA Paper 14157, University Library of Munich, Germany.
    15. Christophe Leclerc & Maarten Vink & Hans Schmeets, 2022. "Citizenship acquisition and spatial stratification: Analysing immigrant residential mobility in the Netherlands," Urban Studies, Urban Studies Journal Limited, vol. 59(7), pages 1406-1423, May.
    16. Vladimir Canudas-Romo & Wen Su & Mike Hollingshaus, 2023. "Variable-r in sex ratios: Formulas in honor of Jim Vaupel," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 49(26), pages 693-722.
    17. Pascal Beckers & Sanne Boschman, 2019. "Residential choices of foreign highly skilled workers in the Netherlands and the role of neighbourhood and urban regional characteristics," Urban Studies, Urban Studies Journal Limited, vol. 56(4), pages 760-777, March.
    18. Joan Carles Martori & Philippe Apparicio & André Ngamini Ngui, 2016. "Understanding Immigrant Population Growth Within Urban Areas: A Spatial Econometric Approach," Journal of International Migration and Integration, Springer, vol. 17(1), pages 215-234, February.
    19. Wiedner, Jonas & Schaeffer, Merlin, 2025. "Spatial overlap: trade-offs in refugees’ residential choices," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 51(5), pages 1075-1097.
    20. Cheng Boon Ong, 2017. "Tipping points in Dutch big city neighbourhoods," Urban Studies, Urban Studies Journal Limited, vol. 54(4), pages 1016-1037, March.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:joprea:v:42:y:2025:i:3:d:10.1007_s12546-025-09379-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.