IDEAS home Printed from https://ideas.repec.org/a/sae/inrsre/v27y2004i4p379-410.html
   My bibliography  Save this article

Economic-Demographic Effects of Immigration: Results from a Dynamic Spatial Microsimulation Model

Author

Listed:
  • Terance J. Rephann

    (Office of Institutional Research, Allegany College of Maryland, Cumberland, MD, trephann@allegany.edu)

  • Einar Holm

    (Department of Social and Economic Geography, Umeå University, Sweden, einar.holm@geography.umu.se)

Abstract

Sweden has a liberal immigration policy compared to other developed countries. However, this policy has been reexamined in recent years. This article examines the economic-demographic effects of immigration using a dynamic spatial microsimulation model called SVERIGE (System for Visualizing Economic and Regional Influences Governing the Environment). It presents simulations that vary three key characteristics of immigration:(1) magnitude, (2) ethnicorigins, and (3) settlement characteristics. Outcome variables examined include immigration, emigration, births, population, migration, labor force participation, and average earnings. Preliminary and illustrative results suggest that large immigration flows can be accommodated by a country with modest economic-demographic effects. Also, the characteristics of immigrants, including initial settlement choice, affect outcomes in different ways.

Suggested Citation

  • Terance J. Rephann & Einar Holm, 2004. "Economic-Demographic Effects of Immigration: Results from a Dynamic Spatial Microsimulation Model," International Regional Science Review, , vol. 27(4), pages 379-410, October.
  • Handle: RePEc:sae:inrsre:v:27:y:2004:i:4:p:379-410
    DOI: 10.1177/0160017604267628
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0160017604267628
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0160017604267628?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
    ---><---

    References listed on IDEAS

    as
    1. Mitton,Lavinia & Sutherland,Holly & Weeks,Melvyn (ed.), 2000. "Microsimulation Modelling for Policy Analysis," Cambridge Books, Cambridge University Press, number 9780521790062.
    2. Caldwell, Steven B., 1983. "Modeling demographic-economic interactions: Micro, macro and linked micro/macro strategies," Socio-Economic Planning Sciences, Elsevier, vol. 17(5-6), pages 365-372.
    3. Laurie Brown & Ann Harding, 2002. "Social Modelling and Public Policy: Application of Microsimulation Modelling in Australia," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(4), pages 1-6.
    4. Rephann, Terance J. & Vencatasawmy, Coomaren P, 2000. "Determinants of the Spatial Mobility of Immigrants: Evidence from Sweden," The Review of Regional Studies, Southern Regional Science Association, vol. 30(2), pages 189-213, Fall.
    5. N. Anders Klevmarken, 1997. "Behavioral Modeling in Micro Simulation Models. A Survey," Working Paper Series 1997:31, Uppsala University, Department of Economics.
    6. Merz, Joachim, 1991. "Microsimulation -- A survey of principles, developments and applications," International Journal of Forecasting, Elsevier, vol. 7(1), pages 77-104, May.
    7. Michael J. Greenwood, 1994. "Potential Channels Of Immigrant Influence On The Economy Of The Receiving Country," Papers in Regional Science, Wiley Blackwell, vol. 73(3), pages 211-240, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jessica M. Mc Lay & Roy Lay-Yee & Barry J. Milne & Peter Davis, 2015. "Regression-Style Models for Parameter Estimation in Dynamic Microsimulation: An Empirical Performance Assessment," International Journal of Microsimulation, International Microsimulation Association, vol. 8(2), pages 83-127.
    2. ., 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.
    3. Frederik Priem & Philip Stessens & Frank Canters, 2020. "Microsimulation of Residential Activity for Alternative Urban Development Scenarios: A Case Study on Brussels and Flemish Brabant," Sustainability, MDPI, vol. 12(6), pages 1-28, March.
    4. Antonis Rovolis & Alexandra Tragaki, 2006. "Immigrant Population in a New Host-Region: Differences and Similarities Across Southern European Countries," ERSA conference papers ersa06p877, European Regional Science Association.
    5. Eveline van Leeuwen & Karima Kourtit & Peter Nijkamp, 2013. "Residents' Appreciation of Cultural Heritage in Tourist Centres: A Microsimulation Modelling Approach to Amsterdam," Tourism Economics, , vol. 19(5), pages 1077-1098, October.
    6. Malcolm Campbell & Dimitris Ballas, 2013. "A spatial microsimulation approach to economic policy analysis in Scotland," Regional Science Policy & Practice, Wiley Blackwell, vol. 5(3), pages 263-288, August.
    7. Antonis Rovolis & Alexandra Tragaki, 2005. "The Regional Dimension of Migration in Greece - Spatial Patterns and Causal Factors," ERSA conference papers ersa05p774, European Regional Science Association.
    8. Cathal O'Donoghue & Karyn Morrissey & John Lennon, 2014. "Spatial Microsimulation Modelling: a Review of Applications and Methodological Choices," International Journal of Microsimulation, International Microsimulation Association, vol. 7(1), pages 26-75.
    9. Simonetta Longhi & Peter Nijkamp & Jacques Poot, 2009. "Regional Economic Impacts of Immigration: A Review," Tinbergen Institute Discussion Papers 09-047/3, Tinbergen Institute, revised 23 Jul 2009.
    10. Lay-Yee, Roy & Milne, Barry & Davis, Peter & Pearson, Janet & McLay, Jessica, 2015. "Determinants and disparities: A simulation approach to the case of child health care," Social Science & Medicine, Elsevier, vol. 128(C), pages 202-211.
    11. 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.
    12. Heffner Krystian & Solga Brygida, 2013. "Features of a migration region – an analysis using the example of the Opolskie Voivodship," Bulletin of Geography. Socio-economic Series, Sciendo, vol. 20(20), pages 43-58, June.
    13. Eveline S. Van Leeuwen, 2010. "The effects of future retail developments on the local economy: Combining micro and macro approaches," Papers in Regional Science, Wiley Blackwell, vol. 89(4), pages 691-710, November.
    14. Dianna M. Smith & Alison Heppenstall & Monique Campbell, 2021. "Estimating Health over Space and Time: A Review of Spatial Microsimulation Applied to Public Health," J, MDPI, vol. 4(2), pages 1-11, June.
    15. Leeuwen, E.S. van & Nijkamp, P., 2011. "Operational advances in tourism research," Serie Research Memoranda 0019, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.

    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. repec:hal:wpspec:info:hdl:2441/f4rshpf3v1umfa09lat214kj4 is not listed on IDEAS
    2. repec:spo:wpecon:info:hdl:2441/f4rshpf3v1umfa09lat214kj4 is not listed on IDEAS
    3. repec:hal:spmain:info:hdl:2441/f4rshpf3v1umfa09lat214kj4 is not listed on IDEAS
    4. Anne-Gisèle Privat, 2005. "L'avenir des retraites en France: Evalutation de l'impact des réformes de 1993 et de 2033 à l'aide du modèle de microsimulation Artémis," Sciences Po publications info:hdl:2441/f4rshpf3v1u, Sciences Po.
    5. Martin Spielauer & René Houle, 2004. "Sample size and statistical significance of hazard regression parameters. An exploration by means of Monte Carlo simulation of four transition models based on Hungarian GGS data," MPIDR Working Papers WP-2004-020, Max Planck Institute for Demographic Research, Rostock, Germany.
    6. Joachim, Merz & Henning, Stolz & Markus, Zwick, 2002. "Professions, entrepreneurs, employees and the new German tax (cut) reform 2000 - A MICSIM microsimulation analysis of distributional impacts," MPRA Paper 6345, University Library of Munich, Germany.
    7. Joachim Merz & Dominik Hanglberger & Rafael Rucha, 2009. "The Timing of Daily Demand for Goods and Services – Multivariate Probit Estimates and Microsimulation Results for an Aged Population with German Time Use Diary Data," FFB-Discussionpaper 77, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    8. Merz, Joachim & Stolze, Henning & Zwick, Markus, 2006. "Wirkungen alternativer Steuerreformmodelle auf die Einkommensverteilung von Freien und anderen Berufen," MPRA Paper 5844, University Library of Munich, Germany.
    9. Merz, Joachim, 2002. "Zur Kumulation von Haushaltsstichproben," MPRA Paper 5991, University Library of Munich, Germany.
    10. Joachim Merz & Dominik Hanglberger & Rafael Rucha, 2010. "The Timing of Daily Demand for Goods and Services—Microsimulation Policy Results of an Aging Society, Increasing Labour Market Flexibility, and Extended Public Childcare in Germany," Journal of Consumer Policy, Springer, vol. 33(2), pages 119-141, June.
    11. François Bourguignon & Amedeo Spadaro, 2006. "Microsimulation as a tool for evaluating redistribution policies," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 4(1), pages 77-106, April.
    12. David Rossiter & Dimitris Ballas & Graham Clarke & Danny Dorling, 2009. "Dynamic spatial microsimulation using the concept of GHOSTs," International Journal of Microsimulation, International Microsimulation Association, vol. 2(2), pages 15-26.
    13. Merz, Joachim & Böhm, Paul & Hanglberger, Dominik & Rucha, Rafael & Stolze, Henning, 2007. "Wann werden Serviceleistungen nachgefragt? – Ein Mikrosimulationsmodell alternativer Ladenöffnungszeiten mit Daten der Zeitbudgeterhebung ServSim," MPRA Paper 5739, University Library of Munich, Germany.
    14. Joachim Merz & Henning Stolze, 2008. "Representative time use data and new harmonised calibration of the American Heritage Time Use Data (AHTUD) 1965-1999," electronic International Journal of Time Use Research, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)) and The International Association for Time Use Research (IATUR), vol. 5(1), pages 90-126, November.
    15. Annie Abello & Sharyn Lymer & Laurie Brown & Ann Harding & Ben Phillips, 2008. "Enhancing the Australian National Health Survey Data for Use in a Microsimulation Model of Pharmaceutical Drug Usage and Cost," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(3), pages 1-2.
    16. Christof Schatz & Joachim Merz, 2000. "Die Rentenreform in der Diskussion Ein Mikrosimulationsmodell für die Altersvorsorge in Deutschland (AVID-PRO)," FFB-Discussionpaper 28, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)), LEUPHANA University Lüneburg.
    17. Terance J. Rephann & Kalle Mäkilä & Einar Holm, 2005. "Microsimulation for Local Impact Analysis: an Application to Plant Shutdown," Journal of Regional Science, Wiley Blackwell, vol. 45(1), pages 183-222, February.
    18. Jinjing Li & Cathal O'Donoghue, 2012. "Simulating Histories within Dynamic Microsimulation Models," International Journal of Microsimulation, International Microsimulation Association, vol. 5(1), pages 52-76.
    19. Nijkamp, P. & Stough, R. & Sahin, M., 2009. "Impact of social and human capital on business performance of migrant entrepreneurs - a comparative dutch-us study," Serie Research Memoranda 0017, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    20. Lidia CERIANI & Carlo V. FIORIO & Chiara GHIGLIARANO, 2013. "The importance of choosing the data set for tax-benefit analysis," Departmental Working Papers 2013-05, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    21. Eugenio Zucchelli & Andrew M Jones & Nigel Rice, 2012. "The evaluation of health policies through dynamic microsimulation methods," International Journal of Microsimulation, International Microsimulation Association, vol. 5(1), pages 2-20.
    22. Merz, Joachim, 1993. "Microsimulation as an Instrument to Evaluate Economic and Social Programmes," MPRA Paper 7236, University Library of Munich, Germany.
    23. Labandeira, Xavier & Labeaga, José M. & Rodríguez, Miguel, 2009. "An integrated economic and distributional analysis of energy policies," Energy Policy, Elsevier, vol. 37(12), pages 5776-5786, December.

    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:sae:inrsre:v:27:y:2004:i:4:p:379-410. 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: SAGE Publications (email available below). General contact details of provider: .

    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.