TY - JOUR
T1 - Migrant trade union membership, employment status and citizenship practices. A comparison of different European countries
AU - Marcaletti, Francesco
AU - Riniolo, Veronica
PY - 2015
Y1 - 2015
N2 - The present paper investigates migrant trade union membership in three different European areas, i.e. Western and Nordic countries, Southern countries and Central-Eastern countries, drawing on data from the European Social Survey 2012 Round 6, ed. 2.0. Specifically, the objectives are twofold: first, to compare trade union membership between natives and migrants in the three European areas analysed; second, to investigate the extent to which the possibility of being a member of a trade union is affected by other factors, notably individual characteristics (age, migration background, gender); employment status (economic activity, type of contract) and citizenship practices. The descriptive analysis shows that migrant patterns of unionization vary greatly in the three areas considered. Moreover the multivariate analysis (logistic regression) highlights that some factors are strong prediction variables of trade union membership, specifically the migration background, gender, age, educational attainment, employment status, country area, and some citizenship practices.
AB - The present paper investigates migrant trade union membership in three different European areas, i.e. Western and Nordic countries, Southern countries and Central-Eastern countries, drawing on data from the European Social Survey 2012 Round 6, ed. 2.0. Specifically, the objectives are twofold: first, to compare trade union membership between natives and migrants in the three European areas analysed; second, to investigate the extent to which the possibility of being a member of a trade union is affected by other factors, notably individual characteristics (age, migration background, gender); employment status (economic activity, type of contract) and citizenship practices. The descriptive analysis shows that migrant patterns of unionization vary greatly in the three areas considered. Moreover the multivariate analysis (logistic regression) highlights that some factors are strong prediction variables of trade union membership, specifically the migration background, gender, age, educational attainment, employment status, country area, and some citizenship practices.
KW - Citizenship practices
KW - Employment status
KW - European social survey round 6
KW - Migration background
KW - Trade union membership
KW - Citizenship practices
KW - Employment status
KW - European social survey round 6
KW - Migration background
KW - Trade union membership
UR - http://hdl.handle.net/10807/70258
UR - http://www.francoangeli.it/riviste/scheda_rivista.aspx?idarticolo=54420&tipo=articolo%20pdf&lingua=it&idrivista=149
U2 - 10.3280/MM2015-001007
DO - 10.3280/MM2015-001007
M3 - Article
SN - 1972-4888
SP - 127
EP - 149
JO - MONDI MIGRANTI
JF - MONDI MIGRANTI
ER -