IDEAS home Printed from https://ideas.repec.org/a/cvv/journ5/v6y2019i3p186-200.html

Macroeconomic impacts of refugee inflows in OECD countries: A panel data analysis

Author

Listed:
  • Mustafa Batuhan TUFANER
  • İlyas SÖZEN

    (Turkey)

Abstract

The increase in refugee inflows due to war and violence in the world has revealed the necessity of dealing refugee inflows internationally. The aim of the study is to investigate the impact of refugee inflows on host economies. In this study, 36 OECD countries were analyzed with panel data method for the period 1993-2017. In the model, the number of refugees is independent; economic growth, inflation and government expenditures are dependent variables. In the first stage of the analysis, panel unit root tests were applied to test the stationary of the variables. Then, Gengenbach, Urbain and Westerlund panel cointegration tests were performed to test the cointegration relationship between the variables. To estimate the long-term relationships between variables, the Dynamic Ordinary Least Squares Mean Group (DOLSMG) estimator was used and a negative relationship was found between refugee inflows and economic growth, while a positive correlation was found between refugee inflows and inflation, also between refugee inflows and government expenditures. Finally, the Dumitrescu-Hurlin panel Granger causality test was used to estimate the causality relationship between the variables. According to the causality test results, while there was no causality relationship between refugee inflows and economic growth, a mutual causality relationship was found between refugee inflows and government expenditures. However, it has been observed that unidirectional Granger causality running from refugee inflows to inflation.

Suggested Citation

  • Mustafa Batuhan TUFANER & İlyas SÖZEN, 2019. "Macroeconomic impacts of refugee inflows in OECD countries: A panel data analysis," Journal of Economics Library, EconSciences Journals, vol. 6(3), pages 186-200, September.
  • Handle: RePEc:cvv:journ5:v:6:y:2019:i:3:p:186-200
    as

    Download full text from publisher

    File URL: https://journals.econsciences.com/index.php/JEL/article/view/1935/1952
    Download Restriction: no

    File URL: https://journals.econsciences.com/index.php/JEL/article/view/1935
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hatton, Timothy J., 2012. "Refugee and Asylum Migration to the OECD: A Short Overview," IZA Discussion Papers 7004, IZA Network @ LISER.
    2. Jack A. Goldstone & Robert H. Bates & David L. Epstein & Ted Robert Gurr & Michael B. Lustik & Monty G. Marshall & Jay Ulfelder & Mark Woodward, 2010. "A Global Model for Forecasting Political Instability," American Journal of Political Science, John Wiley & Sons, vol. 54(1), pages 190-208, January.
    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. Mueller, Hannes & Rauh, Christopher, 2018. "Reading Between the Lines: Prediction of Political Violence Using Newspaper Text," American Political Science Review, Cambridge University Press, vol. 112(2), pages 358-375, May.
    2. Janus, Thorsten & Riera-Crichton, Daniel, 2015. "Economic shocks, civil war and ethnicity," Journal of Development Economics, Elsevier, vol. 115(C), pages 32-44.
    3. repec:rnp:ppaper:mn45 is not listed on IDEAS
    4. Andrew P. Owsiak, 2015. "Forecasting conflict management in militarized interstate disputes," Conflict Management and Peace Science, Peace Science Society (International), vol. 32(1), pages 50-75, February.
    5. Karen E. Smith, 2015. "Mass Atrocity Prevention: Forever Elusive or Potentially Achievable?," Politics and Governance, Cogitatio Press, vol. 3(3), pages 1-4.
    6. Giovanni Carnazza & Paolo Liberati & Agnese Sacchi, 2024. "Political instability and international trade in the European Union: A network-based approach," Discussion Papers 2024/319, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    7. Hartley, Tilman, 2022. "State Crisis Theory: A systematization of institutional, socio-ecological, demographic-structural, world-systems, and revolutions research," SocArXiv e7zsd_v1, Center for Open Science.
    8. Collins, William J. & Zimran, Ariell, 2019. "The economic assimilation of Irish Famine migrants to the United States," Explorations in Economic History, Elsevier, vol. 74(C).
    9. Simplice A. Asongu & Thales P. Yapatake Kossele & Joseph Nnanna, 2021. "Not all that glitters is gold: political stability and trade in Sub-Saharan Africa," Research Africa Network Working Papers 21/005, Research Africa Network (RAN).
    10. repec:gig:afjour:v:44:y:2009:i:3:p:2-10 is not listed on IDEAS
    11. Karen E. Smith, 2015. "Mass Atrocity Prevention: Forever Elusive or Potentially Achievable?," Politics and Governance, Cogitatio Press, vol. 3(3), pages 1-4.
    12. Hou, Xin & Gao, Jianbo, 2025. "Toward Common Prosperity: Measuring decrease in inequality in China prefecture-level cities," Structural Change and Economic Dynamics, Elsevier, vol. 72(C), pages 29-46.
    13. Andrey Korotayev & Ilya Vaskin & Stanislav Bilyuga & Alina Khokhlova & Anastasia Baltach & Eugeny Ivanov & Kira Meshcherina, 2017. "Economic Development and Sociopolitical Destabilization: A Re-Analysis," HSE Working papers WP BRP 46/PS/2017, National Research University Higher School of Economics.
    14. Nicholas J Shallcross & Darryl K Ahner, 2020. "Predictive models of world conflict: accounting for regional and conflict-state differences," The Journal of Defense Modeling and Simulation, , vol. 17(3), pages 243-267, July.
    15. Brandon Parsons & Joseph St. Marie & Robert Pauly, 2025. "Quantile via Moments Panel Data Analysis: Dissecting Political Regimes and the Spectrum of Internal Conflicts," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 51(2), pages 268-307, April.
    16. Sunde, Uwe & Fortunato, Piergiuseppe & Cervellati, Matteo, 2011. "Democratization and Civil Liberties: The Role of Violence During the Transition," CEPR Discussion Papers 8315, C.E.P.R. Discussion Papers.
    17. repec:fsu:wpaper:wp2013_12_01 is not listed on IDEAS
    18. Koen Zwet & Ana I. Barros & Tom M. Engers & Peter M. A. Sloot, 2022. "Emergence of protests during the COVID-19 pandemic: quantitative models to explore the contributions of societal conditions," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
    19. Bodea, Cristina & Elbadawi, Ibrahim A., 2008. "Political violence and economic growth," Policy Research Working Paper Series 4692, The World Bank.
    20. Alfred Krzywicki & David Muchlinski & Benjamin E. Goldsmith & Arcot Sowmya, 2022. "From academia to policy makers: a methodology for real-time forecasting of infrequent events," Journal of Computational Social Science, Springer, vol. 5(2), pages 1489-1510, November.
    21. Boese Vanessa A., 2015. "Viva la Revolución, or: Do Revolutions Lead to More Democracy?," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 21(4), pages 541-551, December.
    22. Cervellati, Matteo & Fortunato, Piergiuseppe & Sunde, Uwe, 2014. "Violence during democratization and the quality of democratic institutions," European Economic Review, Elsevier, vol. 66(C), pages 226-247.
    23. Ms. Anna Kochanova & Carlos Caceres, 2012. "Country Stress Events: Does Governance Matter?," IMF Working Papers 2012/116, International Monetary Fund.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

    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:cvv:journ5:v:6:y:2019:i:3:p:186-200. 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: Bilal KARGI (email available below). General contact details of provider: https://journals.econsciences.com/index.php/JEL .

    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.