Where Did They Come From, Where Did They Go? Bridging the Gaps in Migration Data

Standaert, Samuel and Rayp, Glenn (2022). Where Did They Come From, Where Did They Go? Bridging the Gaps in Migration Data. UNU-CRIS Working Paper. UNU Insitute on Comparative Regional Integration Studies.

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  • Subtitle Working Paper
    Author Standaert, Samuel
    Rayp, Glenn
    Title Where Did They Come From, Where Did They Go? Bridging the Gaps in Migration Data
    Series Title UNU-CRIS Working Paper
    Volume/Issue No. 2022/4
    Publication Date 2022
    Place of Publication Bruges
    Publisher UNU Insitute on Comparative Regional Integration Studies
    Pages 30
    Language eng
    Abstract Many research analyses monitoring the patterns and evolution of international migration would benefit from high-frequency data on a global scale. However, the presently existing databases force a choice between the frequency of the data and the geographical scale. Yearly data exist but only for a small subset of countries, while most others are only covered every 5 to 10 years. To fill in the gaps in the coverage, the vast majority of databases use some imputation method. Gaps in the stock of migrants are often filled by combining information on migrants based on their country of birth with data based on nationality or using ‘model’ countries and propensity methods. Gaps in the data on the flow of migrants, on the other hand, are often filled by taking the difference in the stock, which the ’demographic accounting’ methods then adjust for demographic evolutions. This paper proposes a novel approach to estimating the most likely values of missing migration stocks and flows. Specifically, we use a Bayesian state-space model to combine the information from multiple datasets on both stocks and flows into a single estimate. Like the demographic accounting technique, the state-space model is built on the demographic relationship between migrant stocks, flows, births and deaths. The most crucial difference is that the state-space model combines the information from multiple databases, including those covering migrant stocks, net flows, and gross flows. The result of this analysis is a global, yearly, bilateral database on the stock of migrants according to their country of birth. This database contains close to 2.9 million observations on over 56,000 country pairs from 1960 to 2020, a tenfold increase relative to the second-largest database. In addition, it also produces an estimate of the net flow of migrants. For a subset of countries –over 8,000 country pairs and half a million observations– we also have lower-bound estimates of the gross in- and outflow.
    Copyright Holder UNU Institute on Comparative Regional Integration Studies
    Copyright Year 2022
    Copyright type All rights reserved
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    Created: Wed, 21 Feb 2024, 22:46:31 JST by Masovic, Ajsela on behalf of UNU CRIS