Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Modelling and Forecasting Interregional Migration for Multiregional Population Projections

Bibliographic Data

ID11291176
AuthorsMichael P Cameron (0000-0002-4296-3775, University of Waikato), Jacques Poot (0000-0003-4735-9283, University of Waikato, corresponding author)
Year2024
Volume43
Issue4
Publication date2024-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePopulation Research and Policy Review (JOURNAL)
Journal identifiersISSN: 0167-5923 • E-ISSN: 1573-7829
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11113-024-09892-5
OpenAlexW4400598328
LanguageEN
Citations received1
References cited19

In this paper we focus on modelling and forecasting gross interregional migration in a way that can be embedded within multiregional population projections. We revisit, and apply, a family of spatial interaction models first formulated during the 1970s. The classic gravity model—in which migration is positively related to the populations of sending and receiving areas, but inversely related to various types of spatial friction associated with migrating between them—is a special case that is nested within this family of models. We investigate which member of the family of models gives the best fit when modelling five-year migration flows between the 66 Territorial Authorities (TAs) of Aotearoa New Zealand, using 2013 and 2018 census data. We find that predicting migration between two TAs can be improved by taking into account, firstly, an index of the ‘draw’ from all other TAs when modelling out-migration of any TA and, secondly, an index of the ‘competitiveness’ of a TA vis-à-vis all other TAs when modelling in-migration of any TA. We highlight the properties of the statistically-preferred model by simulating the impact on internal migration of an exogenous increase in Auckland’s population. In this model, such a population change affects not only migration flows from and to Auckland, but also migration between other TAs. The usefulness of this approach for population projections is assessed by forecasting the 2013–18 migration matrix by means of 2013 census data only. In this specific case, the model outperforms the classic gravity model in terms of forecasting gross migration, but not net migration

Econometrics · Economic geography · Economics · Population · Population projection · Research methodology · Sociology · Demography · Migration and Labor Dynamics · Regional Economics and Spatial Analysis · Regional Socio-Economic Development Trends

  • A review and evaluation of internal migration forecasting models

    Open Access•Charles Siriban, A Bernard et al.•Population Studies•2026

  • The Gravity Model

    James E Anderson•Annual Review of Economics•2011

  • Requiem for the Net Migrant

    Open Access•Andrei Rogers•Geographical Analysis•1990

  • Gravity with Gravitas

    James E Anderson, Eric van Wincoop•American Economic Review•2003

  • Gravity models do not explain, and cannot predict, international migration dynamics

    Open Access•Robert M Beyer, Jacob Schewe et al.•Humanities and Social Sciences…•2022

  • Climate change, internal migration, and the future spatial distribution of population

    Open Access•Michael P Cameron•Population and Environment•2018

  • An Alternative to Fixed Transition Probabilities for the Projection of Interprovincial Migration in Canada

    Open Access•Patrice Dion•Population Research and Policy…•2017

  • A System Approach to Modelling the Inter‐urban Exchange of Workers in New Zealand

    Open Access•Jacques Poot•Scottish Journal of Political…•1986

  • A Computer Movie Simulating Urban Growth in the Detroit Region

    W R Tobler, Waldo Tobler•Economic Geography•1970

  • Internal migration around the world

    Open Access•John Stillwell, Martin Bell et al.•Environment and Planning A…•2016

  • On the Relationship between Alonso's Theory of Movement and Wilson's Family of Spatial-Interaction Models

    Open Access•Jacques Ledent•Environment and Planning A…•1981

  • A Family of Spatial Interaction Models, and Associated Developments

    Open Access•A G Wilson, Alan Wilson•Environment and Planning A…•1971

Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae