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Immigrants’ Employment Probability in Europe: The Role of Native Attitudes

Abrahamsson, Amanda LU (2023) EKHS01 20231
Department of Economic History
Abstract
Previous research suggest that immigrants face significant disadvantages in the European labour markets, and that the magnitude of this disadvantage differs based on several factors such as gender, region of origin and educational attainment. Literature and theory present possible explanations for this, one of which being discrimination. Discrimination towards immigrants could be expressed through native attitudes. The aim of this paper was to examine whether there is an association between native attitudes towards immigrants and the employment probability of immigrants. For this, individual level data from 38 different European countries from the European Social Survey was used, and a linear probability model was estimated. The findings... (More)
Previous research suggest that immigrants face significant disadvantages in the European labour markets, and that the magnitude of this disadvantage differs based on several factors such as gender, region of origin and educational attainment. Literature and theory present possible explanations for this, one of which being discrimination. Discrimination towards immigrants could be expressed through native attitudes. The aim of this paper was to examine whether there is an association between native attitudes towards immigrants and the employment probability of immigrants. For this, individual level data from 38 different European countries from the European Social Survey was used, and a linear probability model was estimated. The findings suggest that as native attitudes become increasingly positive towards immigrants, the employment probability of immigrants increases. Moreover, the relation between native attitudes and immigrants' employment probability was found to significantly differ based on gender, origin region and educational attainment, where immigrant women and immigrants originating from the Middle East/Africa are particularly disadvantaged. (Less)
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author
Abrahamsson, Amanda LU
supervisor
organization
alternative title
Immigrants’ Employment Probability in Europe: The Role of Native Attitudes. A quantitative study of the association between native attitudes towards immigrants and immigrants' employment in Europe, and how it differs based on gender, origin, and educational attainment.
course
EKHS01 20231
year
type
H1 - Master's Degree (One Year)
subject
keywords
immigration, discrimination, attitudes, employment
language
English
id
9128652
date added to LUP
2023-08-30 08:02:37
date last changed
2023-08-30 08:02:37
@misc{9128652,
  abstract     = {{Previous research suggest that immigrants face significant disadvantages in the European labour markets, and that the magnitude of this disadvantage differs based on several factors such as gender, region of origin and educational attainment. Literature and theory present possible explanations for this, one of which being discrimination. Discrimination towards immigrants could be expressed through native attitudes. The aim of this paper was to examine whether there is an association between native attitudes towards immigrants and the employment probability of immigrants. For this, individual level data from 38 different European countries from the European Social Survey was used, and a linear probability model was estimated. The findings suggest that as native attitudes become increasingly positive towards immigrants, the employment probability of immigrants increases. Moreover, the relation between native attitudes and immigrants' employment probability was found to significantly differ based on gender, origin region and educational attainment, where immigrant women and immigrants originating from the Middle East/Africa are particularly disadvantaged.}},
  author       = {{Abrahamsson, Amanda}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Immigrants’ Employment Probability in Europe: The Role of Native Attitudes}},
  year         = {{2023}},
}