Gender and family perspectives on the uptake of ICT-induced home-based work
Ewa Cukrowska-Torzewska,
Anna Matysiak and
Agnieszka Kasperska
No 2023-01, Working Papers from Faculty of Economic Sciences, University of Warsaw
Abstract:
This article examines how men and women exploited the work location flexibility enabled by ICT in the context of their family obligations prior to the Covid-19 pandemic. We use the 2015 European Working Conditions Survey for 30 European countries and estimate a set of multinomial logistic regression models, with the dependent variable measuring the frequency of home-based work. We find that when using ICT at work, men were more likely to work from home, both occasionally and more frequently whereas women were more likely to engage in sporadic home-based work but less likely to do so frequently. These results are particularly true for parents, except for single mothers of young children. As single mothers cannot rely on partners’ support in combining paid work and care, the advantages of home-based telework (time savings, flexible time organization) outweigh the negative consequences of this work arrangement.
Keywords: family; gender; home-based telework; ICT use; remote work; teleworkers (search for similar items in EconPapers)
JEL-codes: J12 J13 J16 J21 (search for similar items in EconPapers)
Pages: 37 pages
Date: 2023
New Economics Papers: this item is included in nep-ict and nep-lab
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.wne.uw.edu.pl/download_file/2429/0 First version, 2023 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:war:wpaper:2023-01
Access Statistics for this paper
More papers in Working Papers from Faculty of Economic Sciences, University of Warsaw Contact information at EDIRC.
Bibliographic data for series maintained by Marcin Bąba ().