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We argue that fertility trends in advanced societies are in part driven by differences in trust. The argument builds around the idea that trust implies individuals and couples being willing to outsource traditional family activities to other individuals outside their own family. Trust is therefore seen as a catalyser for the process of increased female labour force participation, the diffusion of childcare facilities, and hence a halt to the continuing fertility decline. Support of this hypothesis is drawn from the World Values Survey and European Values Survey. We present evidence both from country-level regressions and from a series of multilevel analyses. We find that trust by itself is positively associated with fertility over recent decades. Moreover, trust interacts with women’s education. In particular, as higher education for women has expanded, which traditionally is seen as a robust predictor for lower fertility, trust is a precondition for achieving higher fertility among those women with very high education.

Interpersonal trust favors the expansion of organizations by allowing the delegation of decisions and tasks among anonymous others or people that interact only infrequently. We document these facts for a representative survey of Italian manufacturing firms and use this source of data to construct an industry-specific measure of need-for-delegation in production. We then show that trust shapes comparative advantage, as high-trust regions and countries exhibit larger value added and export shares in delegation-intensive industries relative to other industries. Such effects are associated with an increase in average firm size, while the number of firms is not significantly affected. Larger average size reflects in turn a shift of the distribution away from the smallest firms, consistently with the idea that trust allows organizations to expand beyond the narrow circle of family members and close friends.

As more studies focus on social trust and link it to the working of economies and societies, measuring properly this concept is growing in importance. Indeed, as it is a complex construct, entangled to other notions such as reciprocity, it is hard to obtain reliable and accurate measures of it. To mend for this, the OECD has launched Trustlab: a project aimed at creating the first internationally comparable and nationally representative database on trust and social preferences using both survey and experimental approaches. As of March 2018, Trustlab surveys have been run in 6 countries. In this paper we present the data and peculiarities of Trustlab Italy, in which, in addition to the measures of trust, data on personality traits and fertility intentions have been collected.

The vast majority of studies looking into the relationship between childbearing and subjective well-being uses overall measures where respondents either report their general level of happiness or their life satisfaction, leaving substantial doubt about the underlying mechanisms. However, life satisfaction and happiness are intuitively multidimensional concepts, simply because there cannot be only one aspect that affects individuals' well-being. In this study, by considering seventeen specific life satisfaction domains, these features come out very clearly. Whereas all the domains considered matter for the overall life satisfaction, only three of them, namely satisfaction with leisure, health and satisfaction with the partnership, change dramatically surrounding childbearing events. Even though we cannot generalize (since these results stems from one particular panel survey, i.e. Household Income and Labour Dynamics in Australia data), it appears that the typical anticipation and post-child decrease of life satisfaction, so often found in existing studies, stem from changes in these three domains.

Good estimates of HIV prevalence are important for policy makers in order to plan control programs and interventions. Although population-based surveys are now considered the "gold standard" to monitor the HIV epidemic, they are usually plagued by problems of nonignorable nonresponse. This paper uses the partial identification approach to assess the uncertainty caused by missing HIV status. We show how to exploit the availability of panel data and the absorbing nature of HIV infection to narrow the worst-case bounds without imposing assumptions on the missing-data mechanism. Applied to longitudinal data from rural Malawi, the Malawi Diffusion and Ideational Change Project (MDICP), our approach results in a reduction of the width of the worst-case bounds by about 18.2 percentage points in 2004, 13.2 percentage points in 2006, and 2.4 percentage points in 2008. We also use plausible instrumental variable and monotone instrumental variable restrictions to further narrow the bounds.

Studies adopting the Theory of Planned Behavior (TPB) mostly use quantitative methods. Sometimes, however, researchers choose to use a qualitative method because of the nature of available data (e.g., interviews) or availability of only a limited number of cases. This paper describes a study in which the TPB was used with qualitative methods to explain differences in university teaching. It focuses primarily on the methods used: qualitative data coding, data analysis and interpretation, and methods for presenting and supporting results. The study explored factors which influence university teachers to adopt teaching models based on online social interaction when an e-learning platform is used to complement undergraduate classroom teaching. Participants were 26 university teachers (15 from Australia and 11 from Italy). They responded to a semi-structured interview based on the TPB. Three approaches to use of e-learning platforms were identified: upload of materials, use of discussion forums, and computer-supported collaborative learning (CSCL). Using this approach, it was possible to highlight substantial differences in the attitudes, social influence, and perceived behavioral control among the three groups.

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.

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.

If individuals become aware of their stereotypes, do they change their behavior? We study this question in the context of teachers’ bias in grading immigrants and native children in middle schools. Teachers give lower grades to immigrant students compared to natives who have the same performance on standardized, blindly-graded tests. We then relate differences in grading to teachers’ stereotypes, elicited through an Implicit Association Test (IAT). We find that math teachers with stronger stereotypes give lower grades to immigrants compared to natives with the same performance. Literature teachers do not differentially grade immigrants based on their own stereotypes. Finally, we share teachers’ own IAT score with them, randomizing the timing of disclosure around the date on which they assign term grades. All teachers informed of their stereotypes before term grading increase grades assigned to immigrants. Revealing stereotypes may be a powerful intervention to decrease discrimination, but it may also induce a reaction from individuals who were not acting in a biased way.