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Population Forecasting with Endogenous Migration: An Application to Trans-Tasman Migration

Author

Listed:
  • Susi Gorbey

    (9 Stafford Mansions, Albert Bridge Road, London, UK, sgorbey@tudor.com)

  • Doug James

    (Department of Economics, University of Auckland, New Zealand, d.james@auckland.ac.nz)

  • Jacques Poot

    (School of Economics and Finance, Victoria University of Wellington, New Zealand, jacques.poot@vuw.ac.nz)

Abstract

Official population projections are often based on cohort component methods in which migration levels or rates enter exogenously. When net migration accounts for a large proportion of population change and fluctuates strongly, more reliable population forecasts can be derived by explicitly forecasting migration first. This article focuses on forecasting migration between Australia and New Zealand (trans-Tasman migration), which is largely visa-free and therefore resembles internal migration. Net trans-Tasman migration is a major component of New Zealand population change and is embedded in this article in a Bayesian or unrestricted vector autoregression (VAR) model, which includes foreign and domestic economic variables. When time series of net migration are available, this approach provides a useful input into forecasting population growth in the short run in the absence of major policy changes. This conclusion applies equally to interregional migration and to unrestricted international migration between economically integrated nations.

Suggested Citation

  • Susi Gorbey & Doug James & Jacques Poot, 1999. "Population Forecasting with Endogenous Migration: An Application to Trans-Tasman Migration," International Regional Science Review, , vol. 22(1), pages 69-101, April.
  • Handle: RePEc:sae:inrsre:v:22:y:1999:i:1:p:69-101
    DOI: 10.1177/016001799761012208
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    References listed on IDEAS

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    Cited by:

    1. ., 2012. "Migration impact assessment: a state of the art," Chapters, in: Peter Nijkamp & Jacques Poot & Mediha Sahin (ed.), Migration Impact Assessment, chapter 1, pages 3-62, Edward Elgar Publishing.
    2. Tongzheng Pu & Chongxing Huang & Jingjing Yang & Ming Huang, 2023. "Transcending Time and Space: Survey Methods, Uncertainty, and Development in Human Migration Prediction," Sustainability, MDPI, vol. 15(13), pages 1-23, July.
    3. Karagedikli, Özer & Ryan, Michael & Steenkamp, Daan & Vehbi, Tugrul, 2016. "What happens when the Kiwi flies? Sectoral effects of exchange rate shocks on the New Zealand economy," Economic Modelling, Elsevier, vol. 52(PB), pages 945-959.
    4. Brian Cushing & Jacques Poot, 2004. "Crossing boundaries and borders: Regional science advances in migration modelling," Advances in Spatial Science, in: Raymond J. G. M. Florax & David A. Plane (ed.), Fifty Years of Regional Science, pages 317-338, Springer.
    5. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    6. Özer Karagedikli & Ryan, Michael & Daan Steenkamp & Tugrul Vehbi, 2013. "What happens when the Kiwi flies? Sectoral effects of the exchange rate shocks," Reserve Bank of New Zealand Discussion Paper Series DP2013/05, Reserve Bank of New Zealand.
    7. Cees Gorter & Jacques Poot, 1999. "The Impact of Labour Market Deregulation: Lessons from the," Tinbergen Institute Discussion Papers 99-001/3, Tinbergen Institute.
    8. Jakub Bijak & Arkadiusz Wiśniowski, 2010. "Bayesian forecasting of immigration to selected European countries by using expert knowledge," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(4), pages 775-796, October.
    9. Nijkamp, P. & Poot, H.J., 2012. "Migration impact assessment: A state of the art," Serie Research Memoranda 0009, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    10. Winkelmann, Rainer, 2000. "Immigration Policies and their Impact: The Case of New Zealand and Australia," IZA Discussion Papers 169, Institute of Labor Economics (IZA).
    11. Cees Gorter & Jacques Poot, 1998. "The impact of labour market deregulation: lessons from the "Kiwi" and "Polder" models," ERSA conference papers ersa98p481, European Regional Science Association.
    12. Michael P. Cameron & Jacques Poot, 2010. "A Stochastic Sub-national Population Projection Methodology with an Application to the Waikato Region of New Zealand," Population Studies Centre Discussion Papers dp-70, University of Waikato, Te Ngira Institute for Population Research.
    13. Jed Armstrong & Chris McDonald, 2016. "Why the drivers of migration matter for the labour market," Reserve Bank of New Zealand Analytical Notes series AN2016/02, Reserve Bank of New Zealand.
    14. Jacques Poot, 2009. "Trans-Tasman Migration, Transnationalism and Economic Development in Australasia," Working Papers 09_05, Motu Economic and Public Policy Research.

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