Purpose: The purpose of this paper is to explore how individual and macro-level factors shape the work–life balance of young men and women across European countries.Design/methodology/approach: The paper combines macro-level data from the official statistics with individual-level data from the Work, Family and Wellbeing (2010/2011) module of the European Social Survey. The study uses multilevel modelling to explore the factors which shape the work–life balance of men and women aged 15–34 across 24 European countries.Findings: The findings show both differences and similarities between young men and women in how education shapes work–life balance. Higher education increases the likelihood of considering work–life balance as important in work selection for men, while lower education decreases the odds of considering this balance for women. More education is associated with lower acceptance of the traditional norm, for both men and women, and less time spent on housework. Higher share of family benefits decreases the importance of work–life balance, more so for men than for women. Work–life balance is more important for men living in conservative, Mediterranean and post-socialist welfare regimes compared to those from social-democratic regimes.Social implications: The policy implications are to more closely consider education in the transformation of gender-sensitive norms during earlier stages of child socialization and to design more holistic policy measures which address the multitude of barriers individuals from poor families and ethnic/migrant background face.Originality/value: The study contributes to existing literature by applying the capability approach to the empirical investigation of work–life balance. The analytical model contains three dimensions – norms about paid/unpaid work, considering work–life balance in the choice of employment and time spent on unpaid work. Through this approach, we are able to uncover the agency inequality of young people taking into account individual level characteristics, including gender, education, ethnicity and macro-level factors.

Bulgaria’s educational and economic landscapes are marked by substantial regional disparities that are interlaced with ethnic inequalities in school-to-work transitions. Young adults from Roma and Turkish origins particularly suffer from disadvantages with respect to education and labour market participation. We ask how ethnicity affects labour market entry in Bulgaria once educational resources of different ethnic groups are accounted for, and how regional contexts impact ethnic disparities in employment insecurities. Building on comparative school-to-work transition (STWT) concepts and on the labour queueing approach, we assume that ethnic disparities in the STWTs of youths in Bulgaria depend on the degree of urbanisation and the strength and structure of the regional economy. The study draws on data from the Bulgarian School Leaver Survey 2014 of 2103 young adults who had left education in the five years preceding the survey. Descriptive analysis and multilevel logistic regression models were applied to analyse STWT patterns with a special focus on education, regional contexts, and ethnicity. The results highlight that STWT risks differ considerably across the Bulgarian regions. The strength of the local economy thereby moderates ethnic disparities. Young people from Roma and Turkish origins are much less disadvantaged to transition towards employment compared to ethnic Bulgarians the stronger the local economy gets. Our study has several policy implications. In addition to the development of public and private employment opportunities for disadvantaged young people, special attention should also be paid to the development of quality vocational education at the national and regional level.

Purpose: The focus of this article is on gender justice with respect to opportunities (educational) and outcome (earnings). The main research question is whether educational opportunities are positively converted into fairness of income, and for whom and where this is the case. The importance of this study lies in the understanding that the subjective feeling of justice is a significant measure of quality of life, of the individual's subjective feeling of happiness and of the fulfilment of the goals people have reason to value.Design/methodology/approach: The study takes a micro-macro approach, combining macro-level data taken from official statistics and micro-data from the 2018 European Social Survey for 25 European countries; the authors also apply multilevel modelling to the data analysis.Findings: At individual level the authors found gender differences in the associations between education and fairness of educational opportunities. With regard to the scope of fairness, the authors emphasise that fairness of educational opportunities and net pay in European countries is less likely to be felt by someone who has a lower educational level. Higher educational expenditures are positively correlated with fairness of educational opportunities but not with fairness of net pay.Originality/value: This article contributes to theoretical, empirical and policy-relevant gender justice research on the link between inequalities and justice perceptions. The authors have expanded the theoretical understanding of the concept of gender justice by taking into account the role of a specific gender norm on fairness perceptions. The norm, when asked about in a gender-neutral way, is not associated with fairness of pay, but when posed as a question specifically to women, has a negative relationship with perceptions of fair pay. The empirical contribution consists in the evaluation of individual and country mechanisms from a gender justice perspective. The policy contribution consists in questioning the belief that longer paid maternity leave is beneficial for women. In countries with long paid leave available to mothers, women reported even lower levels of fairness of net pay than men.

The article’s aim is twofold: to outline the specificity of the embeddedness approach and to explore the embeddedness of graduates’ education-job mismatch and the formation of lifelong learning policies. The study is based on both quantitative and qualitative data, obtained from the Bulgarian Universities Ranking System, and from interviews with experts and young adults engaged in a lifelong learning programme. The analysis uses multilevel modelling. It also relies on mapping lifelong learning policies in Bulgaria through a thematic content analysis. The article argues that the misbalances for highly educated people on the labour market mirror structural problems in the economy and the educational system. The argument is reflected in the historical and structural embeddedness of graduates’ education-job mismatches and the lifelong learning policies applied to overcome this. The results show that the extent of vertical education-job mismatch depends on the different profiles of higher education institutions and professional fields; they also demonstrate different ways in which the embeddedness approach could help shed new light on, and critically assess, lifelong learning policies. The findings reveal a differentiation between national and local levels of lifelong learning policy towards graduates and that regional policies are actively embedded in local contexts.

The digital transition is a major contemporary challenge that unevenly impacts the life chances of occupational classes and the well-being of individuals. The decline of the working class, driven by skill-based technological change, further provides additional arguments for examining the impact of digitalization on individuals’ chances from a class perspective. The intersections between social class and gender deserve attention in relation to adult education participation. This paper aims to account for both individual-level characteristics—occupational class and gender—and macro-level characteristics including digitalization, measured by the Digital Economy and Society Index (DESI), and inequality, measured by the Gini coefficient. Analyzing data from the European Social Survey, Round 10 (2021/2022), our results show that digital performance in a given country is positively associated with the probability of participation in adult education. Women in countries with higher levels of digital performance are more likely to participate in adult education. We found evidence for a positive interaction between DESI and lower-grade service class for women, whereas in the case of men, we found positive interaction terms between DESI and small business owners, skilled workers, and unskilled workers.