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The Internet has revolutionized our economies, societies, and everyday lives. Many social phenomena are no longer the same as they were in the pre‐Internet era: they have been "Internetized." We define the Internetization of international migration, and we investigate it by exploring the links between the Internet and migration outcomes all along the migration path, from migration intentions to actual migration. Our analyses leverage a number of sources, both at the micro‐ and the macro‐level, including the Gallup World Poll, the Arab Barometer, data from the International Telecommunication Union, the Italian population register, and unique register data from a migrant reception center in Southern Italy. We also distinguish between economic migrants—those who leave their country of origin with the aim of seeking better economic opportunities elsewhere—and political migrants—those who are forced to leave their countries of origin for political or conflict‐related reasons. Our findings point to a consistently positive relationship between the diffusion of the Internet, migration intentions, and migration behaviors, supporting the idea that the Internet is not necessarily a driving force of migration per se, but rather an enabling "supportive agent." These associations are particularly relevant for economic migrants, at least for migration intentions. Further analyses underscore the importance of the Internet in providing a key informational channel which helps to define clearer migration trajectories. [ABSTRACT FROM AUTHOR]

Italy is a case study in lowest-low fertility. Its internal heterogeneity is substantial and changing over time. The paper has two main aims. First, it aims at investigating whether the theoretical framework offered by the diffusionist perspective to fertility transition could still be relevant in explaining fertility changes in contemporary advanced societies. Second, the paper aims at investigating if and how the associations between fertility and a series of indicators of secularisation, female occupation, contribution of fertility of immigrants, and economic development change across space and over time. We make use of geographically weighted regressions and spatial panel regressions to model explicitly spatial dependence in fertility among Italian provinces over the period between 1999 and 2010. Results show that spatial dependence in provincial fertility persists even after controlling for standard correlates of fertility, consistently with a diffusionist perspective. Further, the local association between fertility and its correlates is not homogeneous across provinces. The strength and in some cases also the direction of such associations vary spatially, suggesting that the determinants of low fertility change across space. Finally, the associations between fertility and its correlates change over time. Copyright © 2015 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Knowledge of social contact patterns still represents the most critical step for understanding the spread of directly transmitted infections. Data on social contact patterns are, however, expensive to obtain. A major issue is then whether the simulation of synthetic societies might be helpful to reliably reconstruct such data. In this paper, we compute a variety of synthetic age-specific contact matrices through simulation of a simple individual-based model (IBM). The model is informed by Italian Time Use data and routine socio-demographic data (e.g., school and workplace attendance, household structure, etc.). The model is named ''Little Italy'' because each artificial agent is a clone of a real person. In other words, each agent's daily diary is the one observed in a corresponding real individual sampled in the Italian Time Use Survey. We also generated contact matrices from the socio-demographic model underlying the Italian IBM for pandemic prediction. These synthetic matrices are then validated against recently collected Italian serological data for Varicella (VZV) and ParvoVirus (B19). Their performance in fitting sero-profiles are compared with other matrices available for Italy, such as the Polymod matrix. Synthetic matrices show the same qualitative features of the ones estimated from sample surveys: for example, strong assortativeness and the presence of super- and sub-diagonal stripes related to contacts between parents and children. Once validated against serological data, Little Italy matrices fit worse than the Polymod one for VZV, but better than concurrent matrices for B19. This is the first occasion where synthetic contact matrices are systematically compared with real ones, and validated against epidemiological data. The results suggest that simple, carefully designed, synthetic matrices can provide a fruitful complementary approach to questionnaire-based matrices. The paper also supports the idea that, depending on the transmissibility level of the infection, either the number of different contacts, or repeated exposure, may be the key factor for transmission. [ABSTRACT FROM AUTHOR]

The own-children method (OCM) applied to the Italian Labour Force Survey (ILFS) is an alternative way to give information on fertility for the years before the survey. By deriving children information and the population at risk on the basis of parents’ characteristics, a large-scale dataset for fertility analysis in Italy becomes available, also to reconstruct event histories. The quality assessment provided by comparing the total fertility rate (TFR) calculated on ILFS with the official regional and national TFRs by ISTAT gives us usable outcomes. [ABSTRACT FROM AUTHOR]

We investigate the impact of some characteristics of friendship networks on the timing of the first sexual intercourse. We assume that the gender-segregated composition of such networks explains part of the particularly late age at first intercourse in Italy. We use new data from a survey on sexual behavior and reproductive health of Italian first and second-year university students. The survey has been carried out in 15 different universities in 2000-2001 and it includes retrospective data on age at first intercourse, as well as retrospectively-collected time-varying measures for the gender composition of the friendship network at different ages, for almost 5,000 cases. After having described the data as transition frequencies, we use a Cox proportional hazards model with time-varying covariates. Results are in accordance with the hypothesis that having friendship networks that include more members of the other gender and talking about sex with friends increases the relative risk of first sexual intercourse. [ABSTRACT FROM AUTHOR]

Presents a paper which is a methodological using individual-level retrospective data from the Italian Fertility and Family Survey. How linking individual-level data with geographical characteristics of the community, we firstly used non-parametric methods, and in particular the bi-dimensional LOESS (locally weighted regression) method, to build smoothed maps of the transition to first sexual intercourse.

The paper presents a new type of parametric transition rate model that is particularly suitable for studying household and union formation. In such studies, it is often not easy to determine the moment at which individuals actually enter the population at risk - or at least when the risk begins to become socially important. Even in the presence of regulations stipulated by law, one might be interested in studying 'social' timetables. We assume that there is a constant rate for any duration and that after a certain threshold point a log-logistic rate is added, with this threshold as its time origin. This can be justified in a behavioural sense by assuming that random and social transitions arise from separate processes. We then apply the model to union formation in Italy and show how threshold and intensity effects generated by theoretical hypotheses can be revealed. [ABSTRACT FROM AUTHOR]

Exploits a multistate generalization of a classical, one-sex, stable population model to evaluate structural and long-term effects of changes in the attainment of adulthood. Application to Italy; Stable population theory; Multistate geography; Population ageing; Macrosimulation.