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Labour market performance and migration flows - European ...

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Chapter IFinal Reportst<strong>and</strong>s at 29.7% (based on data from OECD countries, the rate of <strong>migration</strong> for the high skilled st<strong>and</strong>s at38.6%, according to data of Docquier <strong>and</strong> Marfouk 2005 – see Table 5.2.1). Almost 22% of universitygraduates migrate each year, <strong>and</strong> 50% of current university students wish to leave.However, the rates of migrant selectivity among AMCs are highest in Egypt <strong>and</strong> Jordan, where theshare of graduate migrants exceeds 50% (but due to the large stock no brain drain seems to beunderway). In any case the region has seen the <strong>migration</strong> of 9% of their university graduates onaverage, almost double as much as the 5% world average. In the case of Algeria, for instance,estimates range from between 9.4% <strong>and</strong> 18% of all national graduates, in Morocco between 17% <strong>and</strong>19.5% <strong>and</strong> for Tunisia between 12.5% <strong>and</strong> 21.5%, a very high level. In Egypt, by contrast, it st<strong>and</strong>s atfewer than 5% (World Bank 2009a, p. 96). Figures in Table 5.2.1 are roughly equivalent to the morerecent data provided for North Africa <strong>and</strong> Near <strong>and</strong> Middle East Countries in Table 6.3.1.1, referredexclusively to migrant workers in the EU. In any case, the figures in Table 5.2.1 should be taken as aminimum estimation of graduate <strong>migration</strong> in AMCs, since they exclude <strong>migration</strong> to Gulf States.Table 5.2.1. Rates of e<strong>migration</strong> <strong>and</strong> selection rates of migrants from AMCs, 1990-2000Rate of e<strong>migration</strong> (%)by skillsSelection rate (%)by skillsLow Medium High Total Low Medium High TotalAlgeria 4.6 2.1 9.4 4.5 76.7 9.2 14.1 100.0Egypt 0.2 0.8 4.6 0.9 18.3 22.9 58.9 100.0Jordan 1.0 2.4 7.2 2.8 16.4 28.0 55.6 100.0Lebanon 9.4 11.1 38.6 15.0 30.4 25.1 44.5 100.0Morocco 6.8 8.1 17.0 7.6 70.6 16.5 12.9 100.0Palestine 1.0 2.5 7.2 2.9 15.8 29.1 55.0 100.0Syria 0.9 2.3 6.1 1.9 31.0 24.7 44.3 100.0Tunisia 5.1 3.8 12.5 5.4 73.0 12.1 14.9 100.0Source: Docquier <strong>and</strong> Marfouk (2005). Based on OECD countries of destination statistics.In any case, what is clear is that the loss caused by <strong>migration</strong> of qualified workers is not only adirect cost, i.e. the cost of losing the production of those workers in the best jobs available for them inthe county (that cost tends to be zero when graduate unemployment is very high, as it is the case inAMCs). There is also the opportunity cost of losing the returns on the investment in education made inthose qualified workers, often with a substantial investment of public resources (public expenditure oneducation averages more than 5% in AMCs, a very substantial part of it on university education).To what extent this loss of human capital <strong>and</strong> public education investment is compensated throughthe increase in private educational investment induced by the prospects to migrate in AMCs is unclear.While there is limited direct evidence with respect to the impact of the prospect to migrate on humancapital formation in AMCs, some indirect evidence can be gained by observing the pattern of <strong>migration</strong>by skill levels reflected in Table 5.2.1. The theoretical arguments outlined above reveal that a necessarycondition for the occurrence of a beneficial brain drain is represented by an increase in the expectedreturn to education once <strong>migration</strong> prospects open up, <strong>and</strong> this entails that better educated individualshave either a higher incentive to migrate because of the prevailing wage distribution at destination, or abetter ability to do so, because of skill-selective im<strong>migration</strong> policies. Still, what we observe in Table5.2.1 need not be driven by a higher incentive or better ability to migrate for better educatedindividuals, as the skill premium in wage distribution tends to fall with higher levels of income. Thepossibility that the e<strong>migration</strong> rates across educational groups reported in Table 5.2.1 are influenced bythe adoption of skill-selective im<strong>migration</strong> policies seems unreliable as well, as migrants to OECD71

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