TY - JOUR
T1 - The Trojan-horse mechanism: How networks reduce gender segregation
AU - Ardvisson, Martin
AU - Collet, François Herve Rene
AU - Hedström Peter, null
PY - 2021/4/1
Y1 - 2021/4/1
N2 - he segregation of labor markets along ethnic and gender lines is socially highly consequential, and the social science literature has long viewed homophily and network-based job recruitments as some of its most crucial drivers. Here, we focus on a previously unidentified mechanism, the Trojan-horse mechanism, which, in contradiction to the main tenet of previous research, suggests that network-based recruitment reduce rather than increase segregation levels. We identify the conditions under which networks are desegregating, and using unique data on all individuals and all workplaces located in the Stockholm region during the years 2000-2017, we find strong empirical evidence for the Trojan-horse mechanism and its role in the gender segregation of labor markets.
AB - he segregation of labor markets along ethnic and gender lines is socially highly consequential, and the social science literature has long viewed homophily and network-based job recruitments as some of its most crucial drivers. Here, we focus on a previously unidentified mechanism, the Trojan-horse mechanism, which, in contradiction to the main tenet of previous research, suggests that network-based recruitment reduce rather than increase segregation levels. We identify the conditions under which networks are desegregating, and using unique data on all individuals and all workplaces located in the Stockholm region during the years 2000-2017, we find strong empirical evidence for the Trojan-horse mechanism and its role in the gender segregation of labor markets.
U2 - 10.1126/sciadv.abf6730
DO - 10.1126/sciadv.abf6730
M3 - Article
SN - 2375-2548
VL - 7
JO - Science Advances
JF - Science Advances
IS - eabf6730
ER -