, Volume 49, Issue 4, pp 1307–1333 | Cite as

Migration Systems in Europe: Evidence From Harmonized Flow Data



Empirical tests of migration systems theory require consistent and complete data on international migration flows. Publicly available data, however, represent an inconsistent and incomplete set of measurements obtained from a variety of national data collection systems. We overcome these obstacles by standardizing the available migration reports of sending and receiving countries in the European Union and Norway each year from 2003–2007 and by estimating the remaining missing flows. The resulting harmonized estimates are then used to test migration systems theory. First, locating thresholds in the size of flows over time, we identify three migration systems within the European Union and Norway. Second, examining the key determinants of flows with respect to the predictions of migration systems theory, our results highlight the importance of shared experiences of nation-state formation, geography, and accession status in the European Union. Our findings lend support to migration systems theory and demonstrate that knowledge of migration systems may improve the accuracy of migration forecasts toward managing the impacts of migration as a source of social change in Europe.


International migration Migration systems Harmonization 



Jack DeWaard is supported by NICHD Training Grant T32-HD07014 and Center Grant R24-HD047873 to the Center for Demography and Ecology at the University of Wisconsin–Madison. James Raymer received support from the ESRC Research Centre for Population Change (Grant Reference RES-625-28-0001). The authors acknowledge the MIgration MOdeling for Statistical Analysis (MIMOSA) project in providing harmonized flow data for comparison, and comments from Theodore P. Gerber, Katherine J. Curtis, Jenna Nobles, Mary M. Kritz, Douglas T. Gurak, Joel E. Cohen, Stewart Tolnay, and three anonymous reviewers. Previous versions of this article were presented at the annual meeting of the Population Association of America on April 15, 2010 and the Integrated Modeling of European Migration (IMEM) workshop on May 27, 2011.


  1. Abel, G. J. (2010). Estimation of international migration flow tables in Europe. Journal of the Royal Statistical Society, Series A, 173, 797–825.CrossRefGoogle Scholar
  2. Andrienko, Y., & Guriev, S. (2004). Determinants of interregional mobility in Russia. The Economics of Transition, 12, 1–27.CrossRefGoogle Scholar
  3. Bauer, T. K., & Zimmermann, K. F. (1999). Assessment of possible migration pressure and its labour market impact following EU enlargement to central and eastern Europe (IZA Research Report No. 3). Bonn, Germany: Institute for the Study of Labor.Google Scholar
  4. Bijak, J. (2006). Forecasting international migration: Selected theories, models and methods (CEFMR Working Paper 4/2006). Warsaw, Poland: Central European Forum for Migration Research.Google Scholar
  5. Bilsborrow, R. E., Hugo, G., Oberai, A. S., & Zlotnik, H. (1997). International migration statistics: Guidelines for improving data collection systems. Geneva, Switzerland: International Labour Office.Google Scholar
  6. Bongaarts, J. (2004). Population aging and the rising cost of public pensions. Population and Development Review, 30, 1–23.CrossRefGoogle Scholar
  7. Bonifazi, C., Okolski, M., Schoorl, J., & Simon, P. (2008). International migration in Europe: New trends and new methods of analysis. Amsterdam, The Netherlands: Amsterdam University Press.CrossRefGoogle Scholar
  8. Boyd, M. (1989). Family and personal networks in international migration: Recent developments and new agendas. International Migration Review, 23, 638–670.CrossRefGoogle Scholar
  9. Calavita, K. (2003). Italy: Immigration, economic flexibility and policy responses. In W. Cornelius, P. L. Martin, & J. F. Hollifield (Eds.), Controlling immigration: A global perspective (2nd ed.). Stanford, CA: Stanford University Press.Google Scholar
  10. Castles, S., & Miller, M. (2003). The age of migration: International population movements in the modern world (3rd ed.). New York: The Guilford Press.Google Scholar
  11. Cohen, J. E., Roig, M., Reuman, D. C., & GoSwilt, C. (2008). International migration beyond gravity: A statistical model for use in population projections. Proceedings of the National Academy of Sciences of the United States of America, 105, 15269–15274.CrossRefGoogle Scholar
  12. Cover, T. M., & Hart, P. E. (1967). Nearest neighbor pattern classification. IEEE Transactions on Information Theory, 13, 21–27.CrossRefGoogle Scholar
  13. Cui, J. (2007). QIC program and model selection in GEE. The Stata Journal, 7, 209–220.Google Scholar
  14. de Beer, J., Raymer, J., van der Erf, R., & van Wissen, L. (2010). Overcoming the problems of inconsistent migration data: A new method applied to flows in Europe. European Journal of Population, 26, 459–481.CrossRefGoogle Scholar
  15. DeWaard, J., & Raymer, J. (2012). The temporal dynamics of international migration in Europe: Recent trends. Demographic Research. doi: 10.4054/DemRes.2012.26.21
  16. Fassmann, H. (2009). European migration: Historical overview and statistical problems. In H. Fassmann, U. Reeger, & W. Sievers (Eds.), Statistics and reality: Concepts and measurements of migration in Europe (pp. 21–44). Amsterdam, The Netherlands: Amsterdam University Press.CrossRefGoogle Scholar
  17. Fawcett, J. T. (1989). Networks, linkages, and migration systems. International Migration Review, 23, 671–680.CrossRefGoogle Scholar
  18. Greenwood, M. J. (1997). Internal migration in developed countries. In M. R. Rozenzweig & O. Stark (Eds.), Handbook of population and family economics (Vol. 2, pp. 647–720). New York: Elsevier.CrossRefGoogle Scholar
  19. Greenwood, M. J., & McDowell, J. M. (1991). Differential economic opportunity, transferability of skills, and immigration to the United States and Canada. The Review of Economics and Statistics, 73, 612–623.CrossRefGoogle Scholar
  20. Hardin, J. W., & Hilbe, J. M. (2003). Generalized estimating equations. Boca Raton, FL: Chapman and Hall/CRC.Google Scholar
  21. Jennissen, R. P. W. (2004). Macro-economic determinants of international migration in Europe. Amsterdam, The Netherlands: Dutch University Press.Google Scholar
  22. Kaczmarczyk, P., & Okólski, M. (2005). International migration in central and eastern Europe: Current and future trends (UN/POP/MIG/2005/12). United Nations Expert Group Meeting on International Migration and Development. New York: Population Division, Department of Economic and Social Affairs, United Nations.Google Scholar
  23. Karemera, D., Oguledo, V., & Davis, B. (2000). A gravity model analysis of international migration to North America. Applied Economics, 32, 1745–1755.CrossRefGoogle Scholar
  24. Kim, K., & Cohen, J. E. (2010). Determinants of international migration flows to and from industrialized countries: A panel data approach beyond gravity. International Migration Review, 44, 899–932.CrossRefGoogle Scholar
  25. Kritz, M. M., Lim, L. L., & Zlotnik, H. (1992). International migration systems: A global approach. Oxford, UK: Clarendon Press.Google Scholar
  26. Kritz, M. M., & Zlotnik, H. (1992). Global interactions: Migration systems, processes, and policies. In M. M. Kritz, L. L. Lim, & H. Zlotnik (Eds.), International migration systems: A global approach (pp. 1–18). Oxford, UK: Clarendon Press.Google Scholar
  27. Kupiszewska, D., & Nowok, B. (2008). Comparability of statistics on international migration flows in the European Union. In J. Raymer & F. Willekens (Eds.), International migration in Europe: Data, models and estimates. Chichester, UK: Wiley and Sons.Google Scholar
  28. Leblang, D. A., Fitzgerald, J., & Teets, J. (2009). Defying the law of gravity: The political economy of international migration (Working paper). Cambridge, MA: Faculty Discussion Group on Political Economy, Weatherhead Center for International Affairs, Harvard University.Google Scholar
  29. Lemaitre, G. (2005). The comparability of international migration statistics: Problems and prospects (Statistics Brief No. 9). Paris, France: Organisation for Economic Co-operation and Development.Google Scholar
  30. Liang, K. Y., & Zeger, S. L. (1986). Longitudinal data analysis using generalized linear models. Biometrika, 73, 13–22.CrossRefGoogle Scholar
  31. Mabogunje, A. L. (1970). A systems approach to a theory of rural–urban migration. Geographic Analysis, 2, 1–18.CrossRefGoogle Scholar
  32. Massey, D. S., Arango, J., Hugo, G., Kouaouci, A., Pellegrino, A., & Taylor, J. E. (1998). Worlds in motion: Understanding international migration at the end of the millennium. Oxford, UK: Clarendon Press.Google Scholar
  33. Mayda, A. M. (2005). International migration: A panel data analysis of economic and non-economic determinants (Discussion Paper No. 1590). Bonn, Germany: Institute for the Study of Labor.Google Scholar
  34. Milligan, G. W., & Cooper, M. C. (1985). An examination of procedures for determining the number of clusters in a data set. Psychometrika, 50, 159–179.CrossRefGoogle Scholar
  35. Neumayer, E. (2005). Bogus refugees? The determinants of asylum migration to western Europe. International Studies Quarterly, 49, 389–409.CrossRefGoogle Scholar
  36. Nowok, B., Kupiszewska, D., & Poulain, M. (2006). Statistics on international migration flows. In M. Poulain, N. Perrin, & A. Singleton (Eds.), THESIM: Towards harmonised European statistics on international migration. Louvain-la-Neuve, Belgium: UCL Presses Universitaires de Louvain.Google Scholar
  37. Pan, W. (2001). Akaike’s information criterion in generalized estimating equations. Biometrics, 57, 120–125.CrossRefGoogle Scholar
  38. Pedersen, P. J., Pytlikova, M., & Smith, N. (2008). Selection and network effects: Migration flows into OECD countries 1990–2000. European Economic Review, 52, 1160–1186.CrossRefGoogle Scholar
  39. Poulain, M. (1993). Confrontation des Statistiques de Migrations Intra-Européennes: Vers plus d’harmonisation? [Statistical comparison of intra-European migration: Toward greater harmonization]. European Journal of Population, 9, 353–381.CrossRefGoogle Scholar
  40. Poulain, M. (1999). International migration within Europe: Towards more complete and reliable data (Working Paper 12). Geneva, Switzerland: Joint ECE-Eurostat Work Session on Migration Statistics.Google Scholar
  41. Poulain, M., Perrin, N., & Singleton, A. (2006). THESIM: Towards harmonized European statistics on international migration. Louvain-la-Neuve, Belgium: UCL Presses Universitaires de Louvain.Google Scholar
  42. Rabe-Hesketh, S., & Everett, B. S. (2006). A handbook of statistical analyses using Stata (4th ed.). Boca Raton, FL: Chapman & Hall/CRC.Google Scholar
  43. Raftery, A. E. (1995). Bayesian model selection in social research. Sociological Methodology, 25, 111–163.CrossRefGoogle Scholar
  44. Raymer, J., & Abel, G. (2008). The MIMOSA model for estimating international migration flows in the European Union (Working Paper 8). Geneva, Switzerland: Joint UNECE/Eurostat Work Session on Migration Statistics.Google Scholar
  45. Raymer, J., de Beer, J., & van der Erf, R. (2011). Putting the pieces of the puzzle together: Age and sex-specific estimates of migration between EU/EFTA countries, 2002–2007. European Journal of Population, 27, 185–215.CrossRefGoogle Scholar
  46. Raymer, J., Forster, J. J., Smith, P. W. F., Bijak, J., Wiśniowski, A., & Abel, G. J. (2010). The IMEM model for estimating international migration flows in the European Union (Working Paper 14). Geneva, Switzerland: Joint UNECE/Eurostat Work Session on Migration Statistics.Google Scholar
  47. Regulation (EC) No 862/2007 of the European parliament and of the council of 11 July 2007 on community statistics on migration and international protection and repealing council regulation (EEC) No 311/76 on the Compilation of Statistics on Foreign Workers. (2007). Official Journal of the European Union. Retrieved from
  48. Rogers, A. (2008). Demographic modeling of the geography of migration and population: A multiregional perspective. Geographical Analysis, 40, 276–296.CrossRefGoogle Scholar
  49. Salt, J. (1989). A comparative overview of international trends and types: 1950–80. International Migration Review, 23, 431–456.CrossRefGoogle Scholar
  50. Salt, J. (2001). Current trends in international migration in Europe (Report CDMG (2001) 33). Stasbourg, France: European Committee on Migration, Council of Europe.Google Scholar
  51. Svaton, P., & Warin, T. (2008). European migration: Welfare migration or economic migration? Global Economy Journal, 8, 1–30.Google Scholar
  52. Todaro, M. P. (1976). Internal migration in developing countries. Geneva, Switzerland: International Labor Office.Google Scholar
  53. United Nations. (1998). Recommendations on statistics of international migration (Statistical Papers Series M, No. 58, Rev. 1). New York: Statistics Division, Department of Economic and Social Affairs, United Nations.Google Scholar
  54. van der Erf, R., & van der Gaag, N. (2007). An iterative procedure to revise available data in the double entry migration matrix for 2002, 2003 and 2004 (Discussion Paper). The Hague: Netherlands Interdisciplinary Demographic Institute. Retrieved from
  55. van Tubergen, F., Maas, I., & Flap, H. (2004). The economic incorporation of immigrants in 18 Western societies: Origin, destination, and community effects. American Sociological Review, 69, 704–727.CrossRefGoogle Scholar
  56. Zheng, B. (2000). Summarizing the goodness of fit of generalized linear models for longitudinal data. Statistics in Medicine, 19, 1265–1275.CrossRefGoogle Scholar
  57. Zlotnik, H. (1992). Empirical identification of international migration systems. In M. M. Kritz, L. L. Lim, & H. Zlotnik (Eds.), International migration systems: A global approach (pp. 19–40). Oxford, UK: Clarendon Press.Google Scholar
  58. Zolberg, A. R. (2006). A nation by design: Immigration policy in the fashioning of America. New York: Russell Sage Foundation.Google Scholar

Copyright information

© Population Association of America 2012

Authors and Affiliations

  1. 1.Department of SociologyCenter for Demography and Ecology, University of Wisconsin–MadisonMadisonUSA
  2. 2.Department of SociologyCenter for Demography and Ecology, University of Wisconsin–MadisonMadisonUSA
  3. 3.Division of Social SciencesUniversity of SouthamptonSouthamptonEngland

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