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Since the Soviet Union's collapse, Georgia has undergone profound socio-political and demographic changes. This paper examines recent fertility trends in Georgia using GGS data from 2006. Results show that the postponement of first birth does not significantly account for the decline in childbearing, suggesting that decline is primarily due to a reduction of second-order births. I then investigate determinants of intentions to have a second child in three different periods: now, within three years and ever. Findings reveal that household income, education level and psychological well-being of the respondents as well as their satisfaction concerning the division of tasks within the couple have a significant effect on second birth decision-making. However, these determinants differ significantly regarding the timing of the intended child. On the other hand, there seems to be no effect of ideational changes, represented by a measure of the spread of post-materialist values within the society, on fertility intentions.

This paper investigates the role of extended parental leave in the return to work of mothers of newborn children. Exploiting the variability in policies offered by European countries, the paper studies the influence of statutory leave on the probability of returning to work at different ages of the child. Results suggest that providing paid leaves increases the probability of remaining at home when the child is under 3, and that lengthy statutory leaves are associated with being more likely to return eventually to work.

We study the educational choices of children of immigrants in a tracked school system. We first show that immigrant boys in Italy enroll disproportionately into vocational high schools, as opposed to technical and academically-oriented high schools, compared to natives of similar ability. Immigrant girls, instead, choose similar schools as native ones. We then estimate the impact of a large-scale, randomized intervention providing tutoring and career counseling to high-ability immigrant students. Male treated students increase their probability of enrolling into the high track to the same level of natives, also closing the gap in terms of grade retention. There are no significant effects on immigrant females, who exhibit similar choices and performance as native ones in absence of the intervention. Increases in academic motivation and the resulting changes in teachers’ recommendation regarding high school choice explain a sizable portion of the effect, while the effect of increases in cognitive skills is negligible. Finally, we find positive spillovers on immigrant classmates of treated students, while there is no effect on native classmates.

Robots have radically changed the demand for skills and the role of workers in production at an unprecedented pace, with little scope for human capital adjustments. This has affected the job stability and the economic perspectives of large parts of the population in all industrialized countries. Recent evidence on the US labor market has shown negative effects of robots on employment and wages. In this study, we examine how exposure to robots and its consequences on job stability and economic uncertainty have affected individual demographic behavior. To establish this relationship, we use data from the American Community Survey and the International Federation of Robotics and we adopt an empirical strategy that relies on regional industry specialization before the advent of robots combined with the growth of robot adoption by industry. We first document the differential effect of robots on the labor market opportunities of men and women. We find that in regions that were more exposed to robots, the gender-income and labor-force-participation gaps declined. We then show that US regions affected by intense robot penetration experienced a decrease in new marriages, and an increase in both divorce and cohabitation. While there was no change in overall fertility rate, marital fertility declined, and there was an increase in out-of-wedlock births. Our findings are consistent with the hypothesis that the changes in labor markets triggered by robot adoption increased uncertainty, reduced the relative marriage-market value of men, and the willingness to commit for the long term.

Education is a key sociological variable in the explanation of health and health disparities. Conventional wisdom emphasizes a life course-human capital perspective with expectations of causal effects that are quasi-linear, large in magnitude for high levels of educational attainment, and reasonably robust in the face of measured and unmeasured explanatory factors. In this paper, we challenge this wisdom by offering an alternative theoretical account and an empirical investigation organized around the role of measured and unmeasured cognitive and non-cognitive skills as confounders in the association between educational attainment and health. Based on longitudinal data from the National Longitudinal Survey of Youth – 1997 spanning mid adolescence through early adulthood, results indicate that a) effects of educational attainment are very vulnerable to issues of omitted variable bias; b) that measured indicators of cognitive and non-cognitive skills account for a significant proportion of the traditionally observed effect of educational attainment; c) that such skills have effects larger than that of even the highest levels of educational attainment when appropriate controls for unmeasured heterogeneity are incorporated; and d) that models that most stringently control for such time-stable abilities show little evidence of a substantive association between educational attainment and health. Implications for theory and research are discussed.

Using descriptive statistics, civil marriages and marriages preceded by premarital cohabitation are more unstable, i.e., more frequently followed by divorce. However, the literature has shown that selectivity plays an important role in the relationship between premarital cohabitation and union dissolution. We do not have evidence to date regarding the selectivity in the effect of civil marriage. The Italian case appears particularly interesting given the recent diffusion of premarital cohabitation and civil marriage. Using micro-level data from a national-level representative survey held in 2003, we develop a multiprocess model that allows unobserved heterogeneity to be correlated across the three decisions (premarital cohabitation, civil marriage, and divorce). Our results show that selectivity is the main factor that explains the higher divorce rates among those who experience premarital cohabitation and a civil marriage. Net of selectivity, the causal effect on union dissolution disappears.

Agent-based modelling and numerical simulations are means that facilitate exploring the structural and dynamic characteristics of systems which may prove intractable with analytical methods. This contribution examines the issues related to them with a particular attention to their use in the study of social economic and ecological systems. Besides a general description, the possibilities, limitations and their relationship with other more traditional investigation methods are examined. Special focus is put on the assessment of their validation and reliability. Finally an application example is provided. A simple model is built to analyse the movements of tourists and the relationship between these and the attractiveness of a tourism destination. The results are discussed along with possible future developments.

Does removing the constraints of time and place of work increase the utility of workers and firms? We design a randomized experiment on a sample of workers in a large Italian company: workers are randomly divided into a treated group that engages in flexible space and time job (which we call “smart-working”) one day per week for 9 months and a control group that continues to work traditionally. By comparing the treated and control workers, we find causal evidence that the flexibility of smart-working increases the productivity of workers and improves their well-being and work-life balance. We also observe that the effects are stronger for women and that there are no significant spillover effects within workers of a team.

This paper relates social mobility and social stratification to higher education policy. We show that higher‐education policy which leads to differences in quality and per‐student expenditure as well as in admission procedures between standard and elite universities, is a key factor in generating permanent social stratification and social immobility. We develop an intergenerational model which shows that a two‐tier higher education characterised by a division between elite and standard universities can be a key factor in generating permanent social stratification, social immobility and self‐reproduction of the ‘elite’. In our approach, low mobility is essentially explained by the differences in quality and in selection between elite and standard universities. A key result is that the wider the quality gap and the difference in per‐student expenditures between elite and standard universities, the less social mobility. This is because a larger quality gap reinforces the weight of family backgrounds at the expense of personal ability. Our simulations show that this impact can be large. These findings provide theoretical bases for the impact of higher education policy on social mobility.

The association between social classes and fertility behaviour remains undertheorized as the literature focused mostly on the differentials in education and income levels as determinants of fertility behaviour. By using data from the European Union Statistics on Income and Living Conditions (EU-SILC), which for many countries combine a cross-sectional and a longitudinal component, we aim at filling this gap in the literature. Hence, we first explore the association between social classes and fertility behaviour and the extent to which this association is moderated by education and income. Secondly, we consider how this association varies by parity. Results underline the role of social class in affecting individuals’ fertility, over and above education and income.