Article (Scientific journals)
On the Robustness of Brain Drain Estimates
Beine, Michel; Docquier, Frédéric; Rapoport, Hillel
2010In Annales d'Economie et de Statistique, 97, p. 143-166
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Keywords :
Brain drain; Brain gain; Esimation; International Migration
Abstract :
[en] Recent theoretical studies suggest that migration prospects can raise the ex- pected return to human capital and thus foster education investment at home or, in other words, induce a brain gain. In a recent paper we used the Docquier and Marfouk (2006) data set on emigration rates by education level to examine the impact of brain drain migration on gross (pre-migration) human capital for- mation in developing countries. We found a positive e¤ect of skilled migration prospects on human capital growth in a cross-section of 127 developing coun- tries, with a short-run elasticity of about 5 percent. In this paper we assess the robustness of our results to the use of alternative brain drain measures, de nitions of human capital, and functional forms. We nd that the results hold using alternative brain drain measures controlling for whether migrants acquired their skills in the home or in the host country. We also regress other indicators of human capital investment on skilled migration rates and nd a positive e¤ect on youth literacy while the e¤ect on school enrolment depends on the exact functional speci cation chosen. Finally, we nd our resuls to be robust to using the ratio of skilled to unskilled migration rates (instead of just the former) and to controlling for the demoraphic structure of the population. This
Disciplines :
International economics
Author, co-author :
Beine, Michel  ;  University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Center for Research in Economic Analysis (CREA)
Docquier, Frédéric
Rapoport, Hillel
Language :
Title :
On the Robustness of Brain Drain Estimates
Publication date :
Journal title :
Annales d'Economie et de Statistique
Publisher :
Association pour le développement de la recherche en économie et en statistique, Paris, France
Volume :
Pages :
Peer reviewed :
Peer reviewed
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