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Brain drain, informality and inequality: A search-and-matching model for sub-Saharan Africa

机译:人才流失,非正式性和不平等:撒哈拉以南非洲地区的搜索匹配模式

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This paper revisits the effect of brain drain on development and inequality using a two-sector model with formal and informal labor markets. Contrary to existing studies, we use a search-and-matching setting that allows to endogenize the employment structure and the wage differentials between different skill groups in the same sector, and between workers with identical skills employed in different sectors. Theoretically, the brain drain induces ambiguous welfare effects for those left behind as the potential loss/gain depends on the parameters of the model. We thus parameterize our model on 33 sub-Saharan African countries and produce comparative results for each of them. We find that skilled emigration induces heterogeneous welfare losses for the low-skilled population. The size of these losses varies between 0.2 and 8%, and is influenced by the parameters of the production and education technologies. The results are fairly robust to identifying assumptions, to the inclusion of technological externalities, and to the endogenization of training decisions. (C) 2019 Elsevier B.V. All rights reserved.
机译:本文使用具有正式和非正式劳动力市场的两部门模型,重新审视了人才流失对发展和不平等的影响。与现有研究相反,我们使用搜索和匹配设置,该设置可以内生同一行业中不同技能组之间以及不同行业中使用相同技能的工人之间的就业结构和工资差异。从理论上讲,人才流失会给那些留在后面的人带来模糊的福利影响,因为潜在的损失/收益取决于模型的参数。因此,我们在33个撒哈拉以南非洲国家对我们的模型进行参数化,并为每个国家提供比较结果。我们发现,技术移民会给低技术人口带来不同的福利损失。这些损失的规模在0.2到8%之间变化,并且受生产和教育技术参数的影响。结果对于确定假设,包含技术外部性以及培训决策的内在化都非常可靠。 (C)2019 Elsevier B.V.保留所有权利。

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