族群网络能改善教育-职业不匹配吗?

IF 0.7 Q4 INDUSTRIAL RELATIONS & LABOR
Labour-England Pub Date : 2020-07-16 DOI:10.1111/labr.12183
Eric Schuss
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引用次数: 2

摘要

到目前为止,种族网络在多大程度上影响职业错配的问题一直被忽视。本文利用了德国民族构成的跨区域差异,结果表明,每个邮政编码中本民族的比例每增加一个标准差,就会显著减少女性大材小用的年限,减少0.27年。对于男性来说,每个居住区域的外国人比例和少数民族比例都没有发现对资历过高的程度有显著影响。对居住群体和职业的选择以及语言资本的不同禀赋解释了种族网络对女性产生的更有效的利益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Do Ethnic Networks Ameliorate Education–Occupation Mismatch?

Do Ethnic Networks Ameliorate Education–Occupation Mismatch?

The question to what extent ethnic networks affect occupational mismatch has so far been overlooked. This paper exploits supraregional variation in ethnic composition in Germany and shows that a one standard deviation increase in the share of the own ethnic group per zip code significantly reduces the years of overqualification for females, by 0.27 years. For males, neither the foreign share nor the ethnic share per residency area is found to significantly impact the extent of overqualification. Selection into residency groups and occupations and different endowments in language capital explain the more efficient benefit of ethnic networks accrued to females.

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来源期刊
Labour-England
Labour-England INDUSTRIAL RELATIONS & LABOR-
CiteScore
1.30
自引率
16.70%
发文量
25
期刊介绍: LABOUR provides a forum for analysis and debate on issues concerning labour economics and industrial relations. The Journal publishes high quality contributions which combine economic theory and statistical methodology in order to analyse behaviour, institutions and policies relevant to the labour market.
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