Population growth and poverty measurement

If the absolute number of poor people goes up, but the fraction of people in poverty comes down, has poverty gone up or gone down? The economist’s instinct, framed by population replication axioms that undergird standard measures of poverty, is to say that in this case poverty has gone down. But this goes against the instinct of those who work directly with the poor, for whom the absolute numbers notion makes more sense as they cope with more poor on the streets or in the soup kitchens. This paper attempts to put these two conceptions of poverty into a common framework. Specifically, it presents an axiomatic development of a family of poverty measures without a population replication axiom. This family has an intuitive link to standard measures, but it also allows one or other of “the absolute numbers” or the “fraction in poverty” conception to be given greater weight by the choice of relevant parameters. We hope that this family will prove useful in empirical and policy work, where it is important to give both views of poverty—the economist’s and the practitioner’s—their due.     

Street children in Trinidad and Tobago: understanding their lives and experiences

A community-based action research process, over a three-year period, employed interviews and participant observations with five children living on the streets in Port of Spain, the capital of Trinidad and Tobago. Data revealed violence in the family to be a contributing factor to children's presence on the streets: it was also a feature of their lives on the streets. A complex pattern emerged of violence, hostility, and distorted social interactions amidst negative attitudes and disdainful behaviour all around them. It is argued that, although it is not easy, more people – professionals and citizens – would do well to listen to, and understand the lives of, street children in order to be motivated for change.     

Heterogeneity and study size in random-effects meta-analysis

It is well known that heterogeneity between studies in a meta-analysis can be either caused by diversity, for example, variations in populations and interventions, or caused by bias, that is, variations in design quality and conduct of the studies. Heterogeneity that is due to bias is difficult to deal with. On the other hand, heterogeneity that is due to diversity is taken into account by a standard random-effects model. However, such a model generally assumes that heterogeneity does not vary according to study-level variables such as the size of the studies in the meta-analysis and the type of study design used. This paper develops models that allow for this type of variation in heterogeneity and discusses the properties of the resulting methods. The models are fitted using the maximum-likelihood method and by modifying the Paule–Mandel method. Furthermore, a real-world argument is given to support the assumption that the inter-study variance is inversely proportional to study size. Under this assumption, the corresponding random-effects method is shown to be connected with standard fixed-effect meta-analysis in a way that may well appeal to many clinicians. The models and methods that are proposed are applied to data from two large systematic reviews.     

The Development of Students' Mathematics Self‐Concept in Relation to Gender: Different Countries,Different Trajectories?

Gender differences in the development of children's and adolescents' academic self‐perceptions have received increasing attention in recent years. This study extends previous research by examining the development of mathematics self‐concept across grades 7–12 in three cultural settings: Australia (Sydney; N=1,333), the United States (Michigan; N=2,443), and Germany (four federal states; N=4,688). Results of latent growth curve models document very similar patterns of self‐concept development in males and females in the three settings. First, gender differences in favor of boys were observed at the beginning of the observation period (grade 7). Second, gender was not significantly related to self‐concept change in either group, meaning that initial differences persisted across time. Third, the results provided no evidence that the form of the longitudinal change trajectories for mathematics self‐concept differed across the cultural settings. This pattern of results is inconsistent with explanatory models that predict converging or diverging gender differences in mathematics self‐concept. Furthermore, the results indicate that self‐concept development may be highly similar across western cultural settings.     

Boundary Ambiguity and Borderline Personality Traits: Implications for Treatment for Adolescent Girls in Foster Care

This article explores the relationship between boundary ambiguity and borderline personality traits in adolescent girls in foster care. Boundary ambiguity is a family systems concept: family members are uncertain about who is in or out of the family—in either psychological or physical presence or absence. In foster care, it can be assumed that an adolescent girl has experienced trauma significant enough to be removed from her family. The connection between early childhood trauma and attachment disruption in addition to the connection between insecure/disorganized attachment and borderline personality disorder leads to the conclusion that these same adolescents are at high risk for developing borderline personality traits. The sample consists of 40 caseworkers from New England’s child protection departments and therapists from residential programs working with adolescent girls. They completed the Shedler-Westen Assessment Procedure for Adolescents to determine the presence of personality disruption as well as a variation of Pauline Boss’s Boundary Ambiguity Scale #1, and demographic questionnaires. The results find a significant correlation between boundary ambiguity and borderline personality traits. These findings provide directions for future research in clinical treatment and child welfare policy making.     

Globalizations and the Transformation of Environmental Activism: Turkey since the 1980s

Social scientists have developed two main arguments regarding the impacts of globalization on environmental activism and politics. Environmental activism is thought to be associated with instances of local resistance to transnational corporations, and also with a diffusion of environmentalist ideas, practices, and regulations from global core to periphery. Alternatively, this paper argues that by eroding states' sovereignty and supporting ethnic and religious minority groups within and across nations, globalization processes have fused environmental politics with ethnic and religious identity politics worldwide. The environmentalist discourses and activities of Islamist intellectuals and Alevis (a large religious minority) in Turkey since the 1980s illustrate the limited applicability of center–periphery models of globalization, and the complexity of globalizations' impacts on environmental activism and politics.     

Financial inclusion in India: An axiomatic approach

In this paper we first develop an axiomatic measure of financial inclusion. This measure is readily implementable and useful to determine policy priorities to promote financial inclusion. Next, we demonstrate that supply side data on banking services can be usefully employed to measure financial inclusion. Third, we examine the effects of major banking policies on financial inclusion across states in India during 1972–2009, using panel data econometrics techniques. We find that the social-banking policy has played crucial role to foster financial inclusion across states in India during 1977–1990. Thereafter, the move toward pro-market financial sector reform has adversely affected the pace of financial inclusion. This paper identifies geographic penetration of banks and credit availability as two policy targets to foster financial inclusion in India.