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What factors contribute to uneven suburbanisation? Predicting the number of migrants from Warsaw to its suburbs with machine learning

Author

Listed:
  • Honorata Bogusz

    (University of Warsaw)

  • Szymon Winnicki
  • Piotr Wójcik

    (University of Warsaw
    University of Warsaw)

Abstract

This article investigates the spatially uneven migration from Warsaw to its suburban municipalities. We report a novel approach to modelling suburbanisation: several linear and nonlinear predictive models are applied, and Explainable Artificial Intelligence methods are used to interpret the shape of relationships between the dependent variable and the most important regressors. The support vector regression algorithm is found to yield the most accurate predictions of the number of migrants to the suburbs of Warsaw. In addition, we find that migrants choose wealthier and more urbanised municipalities that offer better institutional amenities and a shorter driving time to Warsaw’s city centre.

Suggested Citation

  • Honorata Bogusz & Szymon Winnicki & Piotr Wójcik, 2024. "What factors contribute to uneven suburbanisation? Predicting the number of migrants from Warsaw to its suburbs with machine learning," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 72(4), pages 1353-1382, April.
    • Handle: RePEc:spr:anresc:v:72:y:2024:i:4:d:10.1007_s00168-023-01245-y
    DOI: 10.1007/s00168-023-01245-y
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    References listed on IDEAS

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    1. Poot, Jacques & Alimi, Omoniyi & Cameron, Michael P. & Maré, David C., 2016. "The gravity model of migration: the successful comeback of an ageing superstar in regional science," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 36, pages 63-86.
    2. Charles M. Tiebout, 1956. "A Pure Theory of Local Expenditures," Journal of Political Economy, University of Chicago Press, vol. 64(5), pages 416-416.
    3. Lewer, Joshua J. & Van den Berg, Hendrik, 2008. "A gravity model of immigration," Economics Letters, Elsevier, vol. 99(1), pages 164-167, April.
    4. Michel Beine & Simone Bertoli & Jesús Fernández-Huertas Moraga, 2016. "A Practitioners’ Guide to Gravity Models of International Migration," The World Economy, Wiley Blackwell, vol. 39(4), pages 496-512, April.
    5. Peter Mieszkowski & Edwin S. Mills, 1993. "The Causes of Metropolitan Suburbanization," Journal of Economic Perspectives, American Economic Association, vol. 7(3), pages 135-147, Summer.
    6. Paul Hofmarcher & Jesús Crespo Cuaresma & Bettina Grün & Kurt Hornik, 2015. "Last Night a Shrinkage Saved My Life: Economic Growth, Model Uncertainty and Correlated Regressors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(2), pages 133-144, March.
    7. Jessie Bakens & Raymond J.G.M. Florax & Peter Mulder, 2018. "Ethnic drift and white flight: A gravity model of neighborhood formation," Journal of Regional Science, Wiley Blackwell, vol. 58(5), pages 921-948, November.
    8. Thomas J. Courchene, 1970. "Interprovincial Migration and Economic Adjustment," Canadian Journal of Economics, Canadian Economics Association, vol. 3(4), pages 550-576, November.
    9. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    10. Michèle Belot & Sjef Ederveen, 2012. "Cultural barriers in migration between OECD countries," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(3), pages 1077-1105, July.
    11. Flores, Benito E, 1986. "A pragmatic view of accuracy measurement in forecasting," Omega, Elsevier, vol. 14(2), pages 93-98.
    12. Filippo Simini & Marta C. González & Amos Maritan & Albert-László Barabási, 2012. "A universal model for mobility and migration patterns," Nature, Nature, vol. 484(7392), pages 96-100, April.
    13. Matthew E. Kahn, 2000. "The environmental impact of suburbanization," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 19(4), pages 569-586.
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    More about this item

    JEL classification:

    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • P25 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Urban, Rural, and Regional Economics
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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