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首页> 外文期刊>The Annals of regional science >Interregional migration, self-selection and the returns to education in Brazil
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Interregional migration, self-selection and the returns to education in Brazil

机译:巴西的区域间迁移,自我选择和教育回报

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During the last decade Brazil has seen an astonishing reversal in the original north-east-to-south-east direction of migration. Within a framework of human capital and self-selection theory we try to identify the individual characteristics and motivations linked to the migration pattern. The overall results of this procedure suggest that there is a key difference between NE => SE movers and SE => NE movers. (1) SE => NE movers were adverse self-selected in terms of observable education characteristics. (2) No self-selection could be observed among migrants in the NE => SE direction. In general the North-East seems less attractive to highly skilled people. (3) Labor market segmentation with respect to sector occupation is likely. (4) There are clear differences in income determinants between movers and non movers. The majority of migrants except for migrants with higher education cannot expect to realize a return to education comparable to the average in the region of departure or destination. However, in the context of the Borjas selection model the returns to education analysis would predict a different pattern of migrant selectivity than the one observed in Brazil. Apart from soft characteristics connected to the regions we believe, that the large share of the non formal labor market is likely to indicate a surplus labor leading to a migration pattern different than expected from selection theory.
机译:在过去的十年中,巴西从原始的东北向东南迁移方向发生了惊人的逆转。在人力资本和自我选择理论的框架内,我们尝试确定与迁移模式相关的个人特征和动机。此过程的总体结果表明,NE => SE推动者和SE => NE推动者之间存在关键差异。 (1)SE => NE动词在可观察的教育特征方面是不利的自我选择。 (2)在NE => SE方向的移民中没有观察到自我选择。总的来说,东北地区似乎对高技能人才没有吸引力。 (3)可能按行业划分劳动力市场。 (4)搬家者与非搬家者的收入决定因素存在明显差异。除受过高等教育的移民外,大多数移民都无法期望获得与出发或目的地地区平均水平相当的教育回报。但是,在Borjas选择模型的背景下,教育回报的分析将预测与巴西观察到的移民选择模式不同的模式。除了与地区相关的软性特征外,我们认为,非正规劳动力市场的较大份额可能表明存在剩余劳动力,从而导致迁移模式与选择理论所预期的不同。

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