2018
DOI: 10.1177/0894439318815636
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Immigration, Social Networks, and the Emergence of Ethnic Segmentation in a Low-Skill Labor Market

Abstract: Postwar migration to “western” countries has gone hand in hand with the development of ethnically segmented labor markets, particularly in low-skill roles where entry requirements are minimal. While numerous theories have been forwarded as to why such situations occur, it has remained difficult to empirically test the relative impact of the many interacting processes that produce segmentation in the labor market. In this article, we investigate the processes of ethnic segmentation in low-skilled labor markets,… Show more

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Cited by 7 publications
(3 citation statements)
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“…Ethnic segmentation in the labor market has, among other things, been attributed to the unequal opportunity structures of ethnically homogeneous networks and discrimination in recruitment (cf. Meyer & Vasey, 2020). Moreover, the employment protection legislation for fixedterm and temporary employment contracts in Sweden has weakened in recent decades.…”
Section: Discussionmentioning
confidence: 99%
“…Ethnic segmentation in the labor market has, among other things, been attributed to the unequal opportunity structures of ethnically homogeneous networks and discrimination in recruitment (cf. Meyer & Vasey, 2020). Moreover, the employment protection legislation for fixedterm and temporary employment contracts in Sweden has weakened in recent decades.…”
Section: Discussionmentioning
confidence: 99%
“…Such a discriminatory practise may have a profound impact on school-towork transition trajectories and even on adult life trajectories. The effects of such a phenomenon may lead to the production of a process of social segmentation (e.g., Martin, 1994;Meyer and Vasey, 2020). On the one hand, young migrants affected by such discrimination are driven to less prestigious and less well-paid jobs, a factor that may pose additional difficulties to the school-to-work transition and to the process of transition to adulthood in general, as it would negatively impact the conditions of constructing a financially independent, adult way of life.…”
Section: Paths To Vulnerabilitymentioning
confidence: 99%
“…Each simulation was run 10 times to account for the probabilistic nature of the models, and average scores were taken. Although 50 runs are more commonly used (Malleson et al, 2010), 10 runs have also been used in previous geographical (Crooks 2008) and labour market based ABMs (Meyer and Vasey, 2018). However due to computing resources this was not possible.…”
Section: Agent Movement Within the Modelsmentioning
confidence: 99%