JOURNAL ARTICLE
Maternal Employment and Childcare Use from an Intersectional Perspective: Stratification along Class, Contractual and Gender Lines in Denmark, France, Germany, Italy, Sweden and the UK.
Published In: Social Politics: International Studies in Gender, State & Society, 2023, v. 30, n. 3. P. 871 1 of 3
Database: Sociology Source Ultimate 2 of 3
Authored By: Ferragina, Emanuele; Magalini, Edoardo 3 of 3
Abstract
This article examines how social stratification factors—specifically class, employment contract type, and gender inequality—affect maternal employment and childcare use across six European countries (Denmark, France, Germany, Italy, Sweden, and the United Kingdom) representing five family policy models. Using data from the European Union Survey on Income and Living Conditions (EU-SILC) from 2007 to 2018 and multivariate regression analyses, the study finds that formal childcare use has generally increased for couples but less so for single mothers, with notable disparities linked to social class and contract type. The relationship between childcare use and maternal employment is stronger in countries with historically male-breadwinner-oriented policies, yet childcare access remains more stratified by class and contract in these contexts compared to dual-earner/carer models like those in Scandinavia. Additionally, households with more equal earning distributions between partners tend to use childcare more intensively, highlighting the intersection of gender inequality and family policy in shaping childcare use and maternal labor participation.
Additional Information
- Source:Social Politics: International Studies in Gender, State & Society. 2023/09, Vol. 30, Issue 3, p871
- Document Type:Article
- Subject Area:Political Science
- Publication Date:2023
- ISSN:1072-4745
- DOI:10.1093/sp/jxad021
- Accession Number:172001615
- Copyright Statement:Copyright of Social Politics: International Studies in Gender, State & Society is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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