Explaining individual attitudes towards immigration in Europe: a multilevel analysis before and after the economic crisis

Authors

  • Emiliano Sironi Department of Statistical Sciences, Università Cattolica del Sacro Cuore, Milan, Italy
  • Amelie Nadine Wolff Center for Applied Statistics in Business and Economics, Università Cattolica del Sacro Cuore, Milan, Italy

DOI:

https://doi.org/10.26398/IJAS.0030-020

Keywords:

Attitudes, Migration, Labour market, Economic crisis, Multilevel regression

Abstract

This paper analyses the evolution of attitudes towards immigration over the years 2002-2014, a period characterized by the rise of the economic crisis. Using data of the first 7 rounds of the European Social Survey, we estimate a random intercept model with two levels. By considering that individuals are naturally grouped into countries, this model takes into account the hierarchical structure of the data and allows us to evaluate the net impact of both contextual and individual factors on attitudes towards migrants. Results show that in almost all countries included in the study attitudes slightly improved during these years, even if this change was not homogeneous for all social categories. On one hand, after the beginning of the economic crisis, attitudes worsened for the individuals mostly affected by the recession, such as low skilled workers, because of an increased competition in the labour market between natives and immigrants. On the other hand, attitudes 
generally improved for people belonging to ethnic minorities and for the social categories that do not compete on the labour market, such as retirees.

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Published

2020-03-02

How to Cite

Sironi, E. ., & Wolff, A. N. . (2020). Explaining individual attitudes towards immigration in Europe: a multilevel analysis before and after the economic crisis. Statistica Applicata - Italian Journal of Applied Statistics, 30(3), 393–424. https://doi.org/10.26398/IJAS.0030-020

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