The Matching Hierarchies Model: Evidence from a Survey Experiment on Employers’ Hiring Intent Regarding Immigrant Applicants
Author(s) -
Daniel Auer,
Giuliano Bonoli,
Flavia Fossati,
Fabienne Liechti
Publication year - 2018
Publication title -
international migration review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.109
H-Index - 95
eISSN - 1747-7379
pISSN - 0197-9183
DOI - 10.1177/0197918318764872
Subject(s) - disadvantage , immigration , nationality , matching (statistics) , ethnic group , sociocultural evolution , demographic economics , perception , disadvantaged , survey data collection , social psychology , psychology , labour economics , sociology , political science , economics , economic growth , law , statistics , mathematics , neuroscience , anthropology
We seek to understand why immigrants encounter labor market integration difficulties and thus propose a model that combines ethnic and occupational rankings to predict which candidates employers will favor for particular occupations (a matching hierarchies model). In a Swiss survey experiment, we found that employers’ evaluations of non-natives follow sociocultural distance perceptions and that a non-native background is a disadvantage mainly in high-skilled occupations. In low-skilled occupations, having an immigrant background is less detrimental. In elucidating disadvantage patterns, we conclude that it is important to consider contextual factors (occupational hierarchies) that may change the nature of nationality-based discrimination.
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