On the Determinants of Mortality Reductions in the Developing World

This article presents and critically discusses evidence on the determinants of mortality reductions in developing countries. It argues that increases in life expectancy between 1960 and 2000 were largely independent of improvements in income. The author characterizes the age and cause‐of‐death profile of changes in mortality and assesses what can be learned about the determinants of these changes from the international evidence and from country‐specific studies. Public health infrastructure, immunization, targeted programs, and the spread of less palpable forms of knowledge all seem to have been important factors. Finally, the article suggests that the evolution of health inequality across and within countries is intrinsically related to the process of diffusion of new technologies and to the nature of these new technologies, public or private.     

Borderline and antisocial personality scores as mediators between attachment and intimate partner violence

Court-mandated male batterers (n = 192) attending an intervention program completed measures examining adult attachment orientations (anxious and avoidant), personality disorders (borderline and antisocial), type of violence (psychological and physical), and social desirability. Structural equation modeling was used to determine whether there were significant relationships between anxious attachment and physical and psychological violence that are mediated by either borderline or antisocial personality disorders. Social desirability was included in both models as a covariate. Results indicated that personality disorders fully mediated the relationship between avoidant attachment and physical as well as psychological violence. Personality disorders only partially mediated the relationship between anxious attachment and psychological violence. Implications for intervention are discussed.     

Men's experiences of violence: extent, nature and 'determinants'

We examined the extent, nature and 'determinants' of violence in a randomly selected sample of men from the general population (18–64 years, n = 520). The men were assessed on various factors (e.g. demographics). The design was cross-sectional and data were collected over eight consecutive weeks. About 68 per cent of the men reported experiencing violence at some point during their lifetime, and just over 14 per cent in the past 12 months. The violence occurred mainly in public and work settings, with threatening/aggressive language/physical assaults as the most common forms. The main perpetrators were strangers or clients. Sexual abuse was rare. Repeated/multiple abuses were common and injuries were sustained. The victims and non-victims were similar for many factors (e.g. alcohol use). Only younger age and being a blue-collar/low white-collar worker were risk factors for violence. Men's experiences of violence (e.g. physical assaults/multiple abuses) should be a source of concern as they can have profound negative effects. Extensive research on the impact of violence on men's health appears necessary in light of the present findings.     

A note on influence diagnostics in AR(1) time series models

The purpose of this paper is to develop influence diagnostics for AR(1) models under the innovative and the data perturbation schemes. There are four main contributions. First, we derive analytical expressions for the slope and curvature statistics. Second, we establish a relationship between the slope and curvature showing that the standardised slope and standardised curvature are equal for the innovative perturbation scheme, and these vectors are nearly identical for several values of the autoregressive parameter, for the data perturbation scheme. Third, we present a connection between the influence statistics and the tests for outlier detection. Fourth, for the innovative perturbation scheme, we derive the asymptotic distribution of a new influence statistic, whereas for the data perturbation scheme, the distribution of the influence statistics is obtained via Monte Carlo simulation. We additionally discuss practical guidelines for the use of local influence statistics, which are illustrated on a chemical process data set.     

Can Reporting Heterogeneity Explain Differences in Depressive Symptoms Across Europe?

Depression is one of the leading causes of disability in the developed world. Previous studies have shown varying depression prevalence rates between European countries, and also within countries, between socioeconomic groups. However, it is unclear whether these differences reflect true variations in prevalence or whether they are attributable to systematic differences in reporting styles (reporting heterogeneity) between countries and socioeconomic groups. In this study, we examine the prevalence of three depressive symptoms (mood, sleeping and concentration problems) and their association with educational level in 10 European countries, and examine whether these differences can be explained by differences in reporting styles. We use data from the first and second waves of the COMPARE study, comprising a sub-sample of 9,409 adults aged 50 and over in 10 European countries covered by the Survey of Health, Ageing and Retirement in Europe. We first use ordered probit models to estimate differences in the prevalence of self-reported depressive symptoms by country and education. We then use hierarchical ordered probit models to assess differences controlling for reporting heterogeneity. We find that depressive symptoms are most prevalent in Mediterranean and Eastern European countries, whereas Sweden and Denmark have the lowest prevalence. Lower educational level is associated with higher prevalence of depressive symptoms in all European regions, but this association is weaker in Northern European countries, and strong in Eastern European countries. Reporting heterogeneity does not explain these cross-national differences. Likewise, differences in depressive symptoms by educational level remain and in some regions increase after controlling for reporting heterogeneity. Our findings suggest that variations in depressive symptoms in Europe are not attributable to differences in reporting styles, but are instead likely to result from variations in the causes of depressive symptoms between countries and educational groups.     

Ethnic solidarity and the vote: Mapuche candidates and voters in Chile

In this article, we evaluate ethnic solidarity and the vote in Chile with reference to the Mapuche, the largest and most traditional ethnic group in the country. We use electoral data from the mayoral elections of 2012, drawn from all the municipalities of the Araucanía, the region with the largest percentage of Mapuche population. Using a multi-level linear regression model and controlling for poverty and rurality, we found that Mapuche candidates, regardless of their political orientation, were indeed more successful than non-Mapuche candidates in areas with the greatest concentration of Mapuche voters. Additionally, we used results from an unpublished opinion survey conducted in three municipalities of the Araucanía. We concluded that after controlling for other variables ethnic solidarity prevails as a robust predictor of electoral behaviour, albeit more strongly in rural areas than urban ones. The Chilean case, moreover, is useful for studying the strategies used by the traditional parties that promote this solidarity – that is, by presenting candidates with Mapuche surnames in their lists.     

A Multidimensional Approach to Measuring Quality of Employment (QoE) Deprivation in Six Central American Countries

This paper proposes a methodology for measuring Quality of Employment (QoE) deprivation from a multidimensional perspective in six Central American countries (Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, and Panama) using a dataset specifically designed to measure employment conditions. Building on previous work on multidimensional poverty and employment indicators, the paper uses the Alkire/Foster (AF) method to construct a synthetic indicator of the QoE at an individual level. It selects four dimensions that must be considered as essential to QoE deprivation: income, job stability, job security and employment conditions. These dimensions then subdivide into several indicators, a threshold for each indicator and dimension is established before defining an overall cut-off line that allows for the calculation of composite levels of deprivation. The results generated by this indicator show that Central American countries can be divided into three distinct and robust performance groups in terms of their QoE deprivation. Overall, approximately 60% of the deprivation levels are attributable to non-income variables, such as occupational status and job tenure. The methodology used can allow policymakers to identify and focus on the most vulnerable workers in a labour market and highlights the fact that having a formal written contract is no guarantee of good job quality, particularly in the case of women.

     

The environmental value of buildings: a proposal for performance assessment with reference to the case of the tall office building

Buildings consume approximately 33% of the world's energy, equivalent to 21% of global CO₂ emissions (IEA 2009, World energy outlook 2009, http://www.iea.org/weo/electricity.asp). Given the current scenario of energy consumption in buildings, the objective of this paper is to present some of the key issues related to assessment of the environmental performance of buildings, supported by the proposal of strategic indicators (with reference to the tall office building), followed by a critical review of the value of environmental design. Fieldwork has shown that a group of European case-studies show signs of change beginning to emerge considering value ahead of first cost, challenging the conventional commercial model. Energy savings and environmental quality in the operation of buildings bring marketability benefits to tenants, whilst future-proofing investments are of benefit to investors. In addition, buildings need to go beyond governmental targets to be able to remain competitive, adding value to environmentally considerate design.