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A Simulation Study of Weighting Methods to Improve Labour-Force Estimates of Immigrants in Ireland

Author

Listed:
  • Nguyen Nancy Duong

    (School of Mathematics and Statistics, University College Dublin, Belfield, Dublin 4, Ireland.)

  • Burke Órlaith

    (Nuffield Department of Population Health, University of Oxford, Richard Doll Building, Old Road Campus, Oxford OX3 7LF, United Kingdom of Great Britain and Northern Ireland.)

  • Murphy Patrick

    (School of Mathematics and Statistics, University College Dublin, Belfield, Dublin 4, Ireland.)

Abstract

As immigration has become a global phenomenon in recent years, a number of European countries, including Ireland, have experienced an influx of immigrants, causing a shift in their national demographics. Therefore, it is important that the EU-LFS yield reliable labour-force estimates not only for the whole population, but also for the immigrant population.

Suggested Citation

  • Nguyen Nancy Duong & Burke Órlaith & Murphy Patrick, 2016. "A Simulation Study of Weighting Methods to Improve Labour-Force Estimates of Immigrants in Ireland," Journal of Official Statistics, Sciendo, vol. 32(3), pages 693-718, September.
    • Handle: RePEc:vrs:offsta:v:32:y:2016:i:3:p:693-718:n:7
    DOI: 10.1515/jos-2016-0035
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    References listed on IDEAS

    as
    1. Alan Barrett & Adele Bergin & Elish Kelly, 2011. "Estimating the Impact of Immigration on the Wages in Ireland," The Economic and Social Review, Economic and Social Studies, vol. 42(1), pages 01-26.
    2. Albers, Scott & Albers, Andrew, 2015. "On the mathematic prediction of economic and social crises: toward a harmonic interpretation of the Kondratiev Wave, revised and corrected, with a new appendix, February 12, 2015," MPRA Paper 62118, University Library of Munich, Germany.
    3. Nancy Duong Nguyen & Patrick Murphy, 2015. "To Weight or Not To Weight? A Statistical Analysis of How Weights Affect the Reliability of the Quarterly National Household Survey for Immigration Research in Ireland," The Economic and Social Review, Economic and Social Studies, vol. 46(4), pages 567-603.
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