Dados Bibliográficos

AUTOR(ES) Iñaki R Longarela
AFILIAÇÃO(ÕES) Stockholm University
ANO 2017
TIPO Artigo
PERIÓDICO Work, Employment and Society
ISSN 0950-0170
E-ISSN 1469-8722
EDITORA Annual Reviews (United States)
DOI 10.1177/0950017016668133
CITAÇÕES 5
ADICIONADO EM Não informado

Resumo

This research agenda outlines possible routes to pursue an explanation of vertical gender segregation. The analysis emphasizes the expanding opportunities brought about by a combination of Big Data and public policies, like gender quotas, and uncovers important challenges for which possible solutions are offered. Experimental work is likely to remain very useful in the pursuit of answers to this asymmetric gender presence.

Ferramentas