A Measure of Trust: The Italian Regional Divide in a Latent Class Approach

Social differences within countries may partly explain the lack of economic convergence and the persistence of regional disparities. The case of Italy is emblematic: economic gap between North and South remains at high levels with large differences in social capital and in trust. In this paper, we use the micro data from the ISTAT “Aspects of Daily Life” Survey to build a measure of “trust in others” and a measure of “trust in institutions” through a latent class model to attribute a trust score to the Italian households and the Italian regions and, in this way, to add elements of knowledge useful to policies. Our measures confirm a persistent territorial divide although the regional mapping appears more complex than the classical North–South partition. At last, a discussion on the household typology shows that the territorial gaps of trust persist even among households with similar socio-economic characteristics.     

Data for the Sustainable Development Goals: Metrics for Evaluating Civil Registration and Vital Statistics Systems Data Relevance and Production Capacity,Illustrations with Nigeria

Three issues impinging on the potential use of Civil Registration and Vital Statistics (CRVS) data for the Sustainable Development Goals (SDGs) are analysed in the paper. These include CRVS data relevance, content and data production capacity of CRVS systems. The paper adopts a ‘data type’ approach to relevance and capacity and proposes two metrics based on a graded qualitative evaluation (GQE) methodology. One is a data-relevance metric for evaluating the relevance of CRVS data types to the SDGs. The second is a National Statistical Systems (NSS) data type production capacity metric used for evaluating the data production capacity of CRVS systems. CRVS data instrument analysis and the CRVS data production capacity are exemplified with the Nigerian CRVS system. Relevance assessment results suggest that CRVS systems can provide data relevant to 25% of the SDGs. However the SDG data contribution of CRVS depends on the ‘data type’ capacity of National CRVS systems. As the capacity assessment shows, the Nigerian CRVS system has ‘nominal’ capacity to produce all CRVS data types (fertility, mortality, migration, nuptiality and socio-economic) and ‘active’ and ‘latent’ capacities to provide data for some 21 SDG targets. However, it currently lacks ‘effective’ capacity to produce any of the data types for the SDGs. The paper has implications for goal setting and prioritization in evolving strategies to enhance the development of CRVS/NSS systems’ data capacities, especially in developing countries.     

Disasters,local organizations,and poverty in the USA, 1998 to 2015

Disaster research has drawn attention to how natural hazards transform local organizational dynamics and social inequalities. It has yet to examine how these processes unfold together over time. We begin to fill this gap with a county-level, longitudinal analysis that examines how property damages from natural hazards correlate not only with local shifts in poverty a year later but also counts of for-profit as well as bonding and bridging social capital organizations. Results show that poverty and all organizational types tend to increase with local hazard damages. They also show that poverty tends to increase most where the number of bonding social capital organizations is also increasing. This pattern suggests a Janus-faced dynamic in which bonding, or more inwardly focused, organizations that arise after disaster may end up inadvertently marginalizing those in more dire need.     

Fifty Years After the Social Indicators Movement: Has the Promise Been Fulfilled?

In spite of its currency both in academic research and political rhetoric, there are numerous attempts to define and conceptualize the social cohesion concept but there has been paid little attention to provide a rigorous and empirically tested definition. There are even fewer studies that address social cohesion in a framework of cross-cultural validation of the indicators testing the equivalence of the factorial structure across countries. Finally, as far as we know there is no study that attempt to provide an empirically tested multilevel definition of social cohesion specifying a Multilevel Structural Equation Model. This study aims to cover this gap. First, we provide a theoretical construct of social cohesion taking into account not only its multidimensionality but also its multilevel structure. In the second step, to test the validity of this theoretical construct, we perform a multilevel confirmatory factor analysis in order to verify if the conceptual structure suggested in first step holds. In addition, we test the cross-level structural equivalence and the measurement invariance of the model in order to verify if the same multilevel model of social cohesion holds across the 29 countries analysed. In the final step, we specify a second-order multilevel CFA model in order to identify the existence of a general factor that can be called “social cohesion” operating in society that accounts for the surface phenomena that we observe.     

Time in the Development of Indicators on Sustainable Wellbeing: A Local Experiment in Developing Alternative Indicators

This paper is a theoretical and methodological study on the topics of distribution of and competition between time spans dedicated to social activities in the development of sustainable well-being indicators. This article seeks to answer the following question: why and how should we take into account social time in the development of alternative indicators? To bring to light the complex relationship between well-being, sustainability and people’s relationship to time, this article draws on an experiment aimed at developing Regional Sustainable Well-being Indicators (Indicateurs de Bien-être Soutenable Territorialisés—IBEST), which took place in the Grenoble urban area. This experiment was based on two methodologies; the first one being a quantitative survey, and the second one being a series of qualitative interviews coupled with a participatory approach. One of the datasheet indicators developed following this methodological crossover is the activity times balancing indicator, which allows us to take into consideration the pressure affecting time spent on social activities (work, leisure, families and civic engagement).     

SNAP Benefits and Pregnancy-Related Emergency Room Visits

Pregnant women are likely to be sensitive to daily fluctuations in nutritional intake. To see if income constraints at the end of the month limit food consumption and trigger health problems, we examine how the date that benefits are issued for the Supplemental Nutrition Assistance Program (SNAP) changes the probability that a woman will go to the Emergency Room (ER) for pregnancy-related conditions using administrative data from SNAP and Medicaid from Missouri for 2010–2013. SNAP benefits in Missouri are distributed from the 1st through the 22nd day of the month based on the birth month and the first letter of the last name of the head of the household, making timing of SNAP issuance exogenous. We estimate probit models of the calendar month and SNAP benefit month on the probability of a pregnancy-related ER visit for women age 17–45, or the sample at risk of being pregnant. We also examine the relationship between SNAP benefit levels and ER visits. We found that women who received SNAP benefits in the second or third week of the calendar month were less likely to receive pregnancy-related care through the ER in the week following benefit receipt. Results suggest that SNAP benefits might be related to patterns of pregnancy-related medical care accessed through the ER. Since SNAP issuance date is within state control in the United States, states may want to consider the health effects of their choice.     

Subsequent Migration of Immigrants Within Australia, 1981–2016

Australia is a major immigration country and immigrants currently represent around 28% of the total population. The aim of this research is to understand the long-term consequences of this immigration and, particularly, how migrants respond to opportunities within the country after arriving through the process of subsequent (internal) migration. The focus is on major immigrant groups in Australia, including persons born in the United Kingdom, New Zealand, China and India, and how their patterns differ from persons born in Australia. To conduct this analysis, we have gathered data for a 35-year period based on quinquennial census data. We also obtained birthplace-specific mortality data for constructing multiregional life tables for the immigrant populations. Subsequent migration is important for understanding population redistribution, and the relative attractiveness of destinations within host countries. Our results highlight the importance of subsequent migration and the diversity of migration behaviours amongst different immigrant groups in the context of overall declines in internal migration since 1981.     

Business Cycles,Medicaid Generosity,and Birth Outcomes

Birth outcomes influence many aspects of later life health and wellbeing, making healthcare access during pregnancy a policy priority. Low-income mothers often depend on Medicaid, for which eligibility is determined by their income relative to state eligibility thresholds. The prevalence of adverse birth outcomes is known to exhibit cyclical variation, due in part to changes in the composition of women giving birth in response to changing economic conditions. However, cyclical variation in adverse birth outcomes also varies with respect to Medicaid eligibility thresholds. Our analysis uses birth-records data for 2000 through 2013, aggregated into 173,936 county-by-quarter observations and linked to county-level unemployment rates and state-level parental Medicaid thresholds. Using fixed-effects negative binomial models, we examine the role of Medicaid generosity in influencing birth outcomes across business cycles. We test for interactions between Medicaid and unemployment, hypothesizing that the negative effects of recessions are worse where Medicaid thresholds are more restrictive. We find that higher Medicaid generosity dampens the negative effects of recessions on birth outcomes. The extent to which Medicaid interacts with unemployment also varies according to the age and race composition of mothers; in particular, Black mothers are both most affected by unemployment and most responsive to Medicaid generosity. Given current concerns about racial gaps in both infant and maternal mortality, our findings suggest that Medicaid may be an important feature of a strategy to close gaps in the prevalence of adverse birth outcomes across racial groups, especially during bust years.