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Sampling international migrants with origin-based snowballing method: New evidence on biases and limitations

Author

Listed:
  • Cris Beauchemin

    (Institut National d'Études Démographiques (INED))

  • Amparo González-Ferrer

    (Consejo Superior de Investigaciones Científicas (CISC))

Abstract

This paper provides a methodological assessment of the advantages and drawbacks of the origin-based snowballing technique as a reliable method to construct representative samples of international migrants in destination areas. Using data from the MAFE-Senegal Project, our results indicate that this is a very risky method in terms of quantitative success. Besides, it implies some clear selection biases: it over-represents migrants more strongly connected to their home country, and it tends to overestimate both poverty in households at origin and the influence of previous migration experiences of social networks on individuals’ out-migration.

Suggested Citation

  • Cris Beauchemin & Amparo González-Ferrer, 2011. "Sampling international migrants with origin-based snowballing method: New evidence on biases and limitations," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 25(3), pages 103-134, July.
  • Handle: RePEc:dem:demres:v:25:y:2011:i:3
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    File URL: http://www.demographic-research.org/volumes/vol25/3/25-3.pdf
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    References listed on IDEAS

    as
    1. Stillman, Steven & McKenzie, David & Gibson, John, 2009. "Migration and mental health: Evidence from a natural experiment," Journal of Health Economics, Elsevier, vol. 28(3), pages 677-687, May.
    2. David J. McKenzie & Johan Mistiaen, 2009. "Surveying migrant households: a comparison of census-based, snowball and intercept point surveys," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(2), pages 339-360.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Pau Baizán & Cris Beauchemin & Amparo González-Ferrer, 2014. "An Origin and Destination Perspective on Family Reunification: The Case of Senegalese Couples," European Journal of Population, Springer;European Association for Population Studies, vol. 30(1), pages 65-87, February.
    2. Isabelle Chort & Jean-Noël Senne, 2012. "Intra-household Selection into Migration : Evidence from a Matched Sample of Migrants and Origin Households in Senegal," Post-Print hal-01516775, HAL.
    3. Frere-Smith, Tom & Luthra, Renee Reichl & Platt, Lucinda, 2014. "Sampling recently arrived immigrants in the UK: exploring the effectiveness of Respondent Driven Sampling," ISER Working Paper Series 2014-25, Institute for Social and Economic Research.
    4. Pau Baizán & Amparo González-Ferrer, 2016. "What drives Senegalese migration to Europe? The role of economic restructuring, labor demand, and the multiplier effect of networks," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 35(13), pages 339-380, August.
    5. Calogero Carletto & Jennica Larrison & Çaglar Özden, 2014. "Informing migration policies: a data primer," Chapters,in: International Handbook on Migration and Economic Development, chapter 2, pages 9-41 Edward Elgar Publishing.
    6. repec:dem:demres:v:38:y:2018:i:21 is not listed on IDEAS
    7. Mao-Mei Liu & Mathew J. Creighton & Fernando Riosmena & Pau Baizán, 2016. "Prospects for the comparative study of international migration using quasi-longitudinal micro-data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 35(26), pages 745-782, September.

    More about this item

    Keywords

    international migration; sampling; survey methodology;

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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