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Project deliverable . 2024
License: CC BY
Data sources: Datacite
ZENODO
Project deliverable . 2024
License: CC BY
Data sources: Datacite
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Locating Shortages in Migrants' Origin Countries: A Big Data Approach

Authors: Poeschel, Friedrich;

Locating Shortages in Migrants' Origin Countries: A Big Data Approach

Abstract

This working paper is D7.3 (T3.1) of the Horizon Europe project 'Global Strategy for Skills, Migration and Development' (GS4S). The working paper documents a data collection on vacancies published online, which is being implemented by web scraping online platforms in selected non-EU countries. The data collection aims at locating labour or skill shortages in important origin countries of migration to the EU. Where the shortages coincide with shortages in EU countries, a skill partnership could address both shortages simultaneously. The potential of the web scraped data are explored based on the initial wave of the data collection. The note concludes by outlining how the data collection can be transformed into measures of shortages at the level of occupations and skills.

Keywords

Online job adverts, Global skills partnerships, BLMA, Shortages, Web scraping, Vacancies

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average