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Integrated Modelling of European Migration: Background, specification and results

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Author Info

  • James Raymer

    ()
    (University of Southampton)

  • Jonathan J. Forster

    (University of Southampton)

  • Peter W.F Smith

    (University of Southampton)

  • Jakub Bijak

    (University of Southampton)

  • Arkadiusz Wiśniowski

    (University of Southampton)

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    Abstract

    The aims of this paper are to present the background and specification of the Integrated Modelling of European Migration (IMEM) model. Currently, international migration data are collected by individual countries with separate collection systems and designs. This creates problems when attempting to understand or predict population movements between countries as the reported data are inconsistent in terms of their availability, definitions and quality. Rather than wait for countries to harmonise their migration data collection and reporting systems, we propose a model to overcome the limitations of the various data sources. In particular, we propose a Bayesian model for harmonising and correcting the inadequacies in the available data and for estimating the completely missing flows. The focus is on estimating recent international migration flows amongst countries in the European Union (EU) and European Free Trade Association (EFTA) from 2002 to 2008, using data collected by Eurostat and other national and international institutions. We also include additional information provided by experts on the effects of undercount, measurement and accuracy. The methodology is integrated and capable of providing a synthetic data base with measures of uncertainty for international migration flows and other model parameters.

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    File URL: http://www.norface-migration.org/publ_uploads/NDP_04_12.pdf
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    Bibliographic Info

    Paper provided by Norface Research Programme on Migration, Department of Economics, University College London in its series Norface Discussion Paper Series with number 2012004.

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    Date of creation: Jan 2012
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    Handle: RePEc:nor:wpaper:2012004

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    Cited by:
    1. Arie ten Cate, 2012. "The identification of reporting accuracies from mirror data," CPB Discussion Paper 216, CPB Netherlands Bureau for Economic Policy Analysis.

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