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Persistently low employment of women in some countries can still be ascribed to a traditional perception of women’s role in society. According to observed data and prevailing social and cultural norms, women have been bearing the primary burdens of housework, childcare, and other family responsibilities. The unequal share of care responsibilities between women and men further worsens the disadvantages of women in balancing public and private life, with an impact on their employment and health outcomes. In this paper we investigate the role of family responsibilities in shaping employment and health outcomes by gender, in Italy and France, during and after the economic downturn. We use data from the European Union Statistics on Income and Living Conditions for the time windows of 2007-2010 and 2011-2014. Our results support that gender differences in the share of responsibilities roles in the public and private sphere influence the employability and health perception of women.

The 2030 Agenda of the United Nations clearly sets the inclusion of persons with disabilities in the labour market as a main goal. However, especially in care welfare systems characterized by a low level of social services, disability not only impacts the labour market participation of disabled people themselves but may also affect the labour opportunities of other members of their household. Using EU-SILC data to compute individual work intensity-as a better measure of the actual level of labour attainment-this paper aims to disentangle direct and indirect correlations between disability and labour market participation in Italian households. In confirming the negative direct correlation between disability and labour market participation, the results also show a negative indirect correlation that depends on the family relationship between the disabled person and household members.

We use the 2015–2018 European Union Statistics on Income and Living Conditions panel data and a dynamic bivariate probit model to estimate the impact of childbirth on the risk of poverty in 25 European countries. We model both poverty and childbirth mechanisms, identifying genuine state dependence and accounting for feedback effects from past poverty to childbirth. We find that childbirth slightly increases the risk of poverty in Europe, but some heterogeneities emerge at the country level. When disentangling the effects of childbirth conditional on past poverty status, it appears that child-birth determines redistributive effects possibly induced by welfare systems. We find evidence of genuine state dependence and suggests that discouraging factors induced by the experience of poverty itself has increased over time. The risk of poverty is triggered by the presence of dependent members in the household, while education and employment stability are helpful to combat poverty.

This paper offers novel evidence and a discussion of the main measurement issues associated with the complex phenomenon of youth not in employment, education or training (NEET) in Italy. The problem is quite relevant for Italian youths, and it is characterized by important gender differences. We use data from the European Union Statistics on Income and Living Conditions (EU-SILC) and estimate correlated random effects probit models with endogenous initial conditions by gender for the 2017–2020 period. Our findings suggest a relevant persistence in this condition for both males and females. As for the determinants, we note that educational attainment is a protective factor against the risk of being NEET, as is the presence of employed individuals in the household. All in all, our findings suggest the need for additional policy interventions aimed at reducing both the risk of being NEET and the consistency of the phenomenon.

Using Italian Labour Force Survey data for the period 2019Q1-2020Q4 and applying quantile regression model accounting for sample selection bias, the paper investigates the effects of the first wave of the COVID-19 pandemic on the wage distribution of employees, exploiting differences across sectors and by working from home arrangement. The findings reveal that the pandemic seems to positively affect wages of the entire workforce. However, this short-term advantage might be temporary as potentially driven by occupational changes in employment composition, whereas teleworking arrangement entails a wage premium for all workers. Low paid workers, employed in hotel/restaurant sector and not teleworking during the outbreak, face a reduction in wages (− 13.7%), while employees of public administration and education sectors exhibit a wage premium. When considering the joint effect of COVID-19 and working from home arrangement, estimates show that, despite few exceptions, wages of teleworking employees have been not affected by the coronavirus. Finally, we also control for self-selection issue by implementing the inverse probability weighting estimator.