Back to the Future: a Sensitivity Analysis to Predict Future Fertility Rates Considering the Influence of Family Policies—The Cases of Spain and Norway

This article analyzes the relationship between family policies focused on childcare for children under the age of three and fertility levels. In the current context of very low European fertility, it is important to understand whether public support for families can help increase fertility or if, on the contrary, existing fertility levels are the exact reflection of the reproductive desires of families, regardless of the family-support of the policies that may exist in each country. This analysis was carried out through a stochastic dynamic mathematical model that incorporates both demographic variables and family policy variables. A sensitivity analysis was carried out on Spain and Norway, two countries that have very different models of family policies. This sensitivity analysis allows establishing a relationship between the existing family policies and the total fertility rate and also the expected evolution of fertility rates in the future, if the current family policies remain constant. The results showed that the models which lead to an increase in fertility are those which are most generous and which also incorporate a gender perspective, so they allow the identification of good practices and maximum levels of policy efficiency in regards to different objectives such as increase fertility and advances towards gender equality. By contrast, models with erratic and insufficient support clearly contribute to maintaining fertility at very low levels and perpetuate unequal gender relationships. There is, therefore, space for state agency to develop more effective public policies in both dimensions.

     

Special issue on statistical analysis of networks

Statistical Methods & Applications - The special issue on Statistical Analysis of Networks aspires to convey the breadth and depth of statistical learning with networks, ranging from networks...     

Public investment and growth: Lessons learned from 60-years experience in Southern Italy

This article analyses the contribution of public investment to economic growth in Southern Italy in the second half of the twentieth century (1951–2011). The Bai–Perron tests suggest that economic growth followed three distinct regimes: accelerated growth in the years 1951–1973 (average growth rate 5.3%); low growth in the period 1974–1995 (average growth rate 1.6%); zero growth on average after 1995. Using cointegration analysis, we find a positive effect of public investment on per unit of labour output of the Mezzogiorno in the whole period, 1951–2011. However, the estimates of the model show statistically significant parameters of public investment in the first regime, but not in the second regime, when economic growth is sustained by business investment and technical change. The last phase of growth sees the negative influence of the social and institutional environment on the functioning of the economy. The different impact of public investment on growth over time is ascribed to changes in the quality of institutions.     

Do Caregivers’ Health Conditions Impact Children’s Externalizing Behavior? The Roles of Caregivers’ Parenting Frustration and Family Cohesion

Child and Adolescent Social Work Journal - The present study aimed to explore whether caregivers’ parental frustration mediates the relationship between parental health and children’s...     

Couples’ First Child Intentions and Disagreement: An Analysis of the Italian Case

The aim of this article is to examine the determinants of couples’ childbearing intentions, by explicitly taking into account the agreement or disagreement of the two members of the couple. The relevance of the partner’s reproductive intentions has been well recognised in the literature, but few studies have provided in-depth analyses of the fertility plans of both partners. In our study, we used the household-level data from a survey on “Family and Social Subjects”, carried out by the Italian National Statistical Office in 2003, which provides characteristics on both partners. We adopted a couple’s perspective which allows us to give a unitary picture of the concordant or discordant nature of partners’ first child intentions. We found that a lack of agreement in the reproductive decision-making process is likely to occur in the Italian couples where the role of the woman is less traditional. In particular, cohabitant, highly educated and working women are more likely to be in disagreement with their partners in the decisions concerning having a first child. Being religious may be also a source of discordance in the couples’ reproductive plans. Our findings support the utility of taking a couple-based approach in studies on fertility intentions.     

Planned and Unplanned Births and Conceptions in Italy, 1970–1995

Using FFS data on births andofficial data on abortions, focus is firstgiven to trends in planned and unplannedpregnancies during 1970–1995, comparing Italywith the USA and France. The next step is topinpoint groups where unplanned events are morecommon. Finally, the relationship betweenunplanned births and changes in contraceptivebehaviour is examined.The planned fertility decline distinguishesItaly from other Western countries. Unplannedbirths and abortions have also declinedconsiderably during the last twenty years.However, some caution is urged before it may beassumed that Italians are the masters of theirown fertility as, during the first half of1990s, 37% of conceptions were unplanned (atthe moment of the event), reaching 45% amongunder 20 and over 35 years old women.     

Tailoring the Gaussian Law for Excess Kurtosis and Skewness by Hermite Polynomials

This article aims at reshaping the normal law to account for tail-thickness and asymmetry, of which there is plenty of evidence in financial data. The inspiration to address the issue was provided by the orthogonality of Hermite polynomials with the Gaussian density as a weight function, with the Gram–Charlier expansion as background. A solution is then devised accordingly, by embodying skewness and excess-kurtosis in a normal kernel, via third- and forth-degree polynomial tune-up. Features of the densities so obtained are established in the main theorem of this article. In addition, a glance is cast at the issue of embodying between-squares correlation, and a solution is outlined.     

Various Approaches for Predicting Land Cover in Mountain Areas

Using former maps, geographers intend to study the evolution of the land cover in order to have a prospective approach on the future landscape; predictions of the future land cover, by the use of older maps and environmental variables, are usually done through the GIS (Geographic Information System). We propose here to confront this classical geographical approach with statistical approaches: a linear parametric model (polychotomous regression modeling) and a nonparametric one (multilayer perceptron). These methodologies have been tested on two real areas on which the land cover is known at various dates; this allows us to emphasize the benefit of these two statistical approaches compared to GIS and to discuss the way GIS could be improved by the use of statistical models.