Measuring International Skilled Migration

By Michel Beine, Frédéric Docquier, Hillel Rapoport. 2007

123 citations recorded by the source corpus.

Recent data on international migration of skilled workers define skilled migrants by education level without distinguishing whether they acquired their education in the home or the host country. This article uses immigrants' age of entry as a proxy for where they acquired their education. Data on age of entry are available from a subset of receiving countries that together represent 77 percent of total skilled immigration to countries of the OECD (Organization for Economic Co-operation and Development). Using these data and a simple gravity model to estimate the age-of-entry structure of the remaining 23 percent, alternative brain drain measures are proposed that exclude immigrants who arrived before ages 12, 18, and 22.

Subfields: Economics and Econometrics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/3868352a68544dba5de6d0b1e0b74d72fae26c81

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Citations in the corpus

High-Skilled Migration and Agglomeration (2017, background): “14 The migration cost literature also separates out actual moving and assimilation costs versus the cost of obtaining entry into the country in the form of a visa, citizenship or other means (e.g., Beine et al. 2011).”
The Economic Consequences of the International Migration of Labor (2008, unknown): “Table 2, using data from Beine et al. (2007), shows the share of the immigrant population in OECD countries by sending region.”
Comparing Immigration Policies: An Overview from the IMPALA Database 1 (2016, background): “…migrant flows are determined by factors affecting the supply of different types of immigrants seeking to enter recipient countries, including network effects among migrants, and economic and political conditions in sending countries (Beine, Docquier, and Rapoport 2007; Grogger and Hanson 2011).”
A Gendered Assessment of Highly Skilled Emigration (2009, background): “As mentionned above, Beine et al (2007a) provided corrected measures by age of entry and found a very high correlation with the uncorrected numbers.”