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Estimating global migration flow tables using place of birth data

Author

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  • Guy Abel

    (University of Hong Kong)

Abstract

Background: International migration flow data often lack adequate measurements of volume, direction and completeness. These pitfalls limit empirical comparative studies of migration and cross national population projections to use net migration measures or inadequate data. Objective: This paper aims to address these issues at a global level, presenting estimates of bilateral flow tables between 191 countries. Methods: A methodology to estimate flow tables of migration transitions for the globe is illustrated in two parts. First, a methodology to derive flows from sequential stock tables is developed. Second, the methodology is applied to recently released World Bank migration stock tables between 1960 and 2000 (Özden et al. 2011) to estimate a set of four decadal global migration flow tables. Results: The results of the applied methodology are discussed with reference to comparable estimates of global net migration flows of the United Nations and models for international migration flows. Comments: The proposed methodology adds to the limited existing literature on linking migration flows to stocks. The estimated flow tables represent a first-of-a-kind set of comparable global origin destination flow data.

Suggested Citation

  • Guy Abel, 2013. "Estimating global migration flow tables using place of birth data," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 28(18), pages 505-546.
  • Handle: RePEc:dem:demres:v:28:y:2013:i:18
    DOI: 10.4054/DemRes.2013.28.18
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    References listed on IDEAS

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    More about this item

    Keywords

    international migration; log-linear model; international migration flows; conditional maximisation; international migration stocks; migration estimation;
    All these keywords.

    JEL classification:

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

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