Indicators of child well-being through a neighborhood lens

Adverse child outcomes tend to be concentrated in neighborhoods with constellations of adverse conditions and risk factors. This paper examines the challenges of developing meaningful and useful indicators of child well-being at the level of the neighborhood. Recent technological advances have made it more feasible for communities to develop neighborhood indicators, but there are a number of practical, conceptual and methodological challenges that are involved in this work. In this article, we discuss the potential usefulness of neighborhood indicators, several of the conceptual and methodological challenges and offer some illustrations of neighborhood indicators that are pertinent to the well-being of children. In addition to administrative data, we discuss indicators of child well-being rooted in both child and adult perceptions of neighborhood.     

Comparing professional identities, attitudes, and views in public communication: A study of Chilean journalists and public relations practitioners

Public relations (PR) practitioners’ and journalists’ professional views and attitudes toward each other have been a subject of academic inquiry during the past decades; however, much of this research has focused on Europe and North America. In other regions of the world, for example in Latin America, historical developments and social understandings have led to slightly different conceptualizations of PR and journalism. Using Chile as a case study, this paper reports the results of an examination of Chilean journalists’ and PR practitioners’ professional conceptions. While both groups tend to have somewhat similar views of media relations and see themselves as part of the same profession, there are also important differences which are most likely based on professional socialization processes rather than educational backgrounds or sociodemographic and work related variables. Implications for contextually grounded approaches to the study of PR and journalism are highlighted.     

Facilitating access to services for children and families: lessons from Sure Start Local Programmes

With the introduction of the highly publicized Sure Start Local Programme (SSLP) initiative in 1998, the UK government introduced a community‐based set of provisions targeted at families with children under 4 years who were living in some of the 20% most deprived and disadvantaged geographical areas in England. These programmes were designed to combat the adverse effects of poverty and disadvantage on the long‐term outcomes for children and families. One challenging dimension for programme development has been the facilitation of access to the services on offer in these programmes. Drawing on findings from the implementation module within the government‐commissioned National Evaluation of Sure Start, this paper examines the way in which SSLPs have sought to facilitate access to services for their local communities and to encourage community members to take up and continue using those services. This paper presents a detailed overview of programme activity in respect of access. It identifies a continuum of access and a model of three styles of parental service use. The paper highlights the implications of the SSLP implementation process for the development of subsequent related initiatives such as children’s centres and extended schools.     

Anisotropy analysis of pressed point processes

This paper introduces methods for the detection of anisotropies which are caused by compression of regular 3D point patterns. Isotropy tests based on directional summary statistics and estimators for the compression factor are developed. Using simulated data, the dependence of the power of these methods on the intensity, the degree of regularity, and the compression strength is studied. Finally, our methods are applied to the point patterns of centers of air pores extracted from tomographic images of ice cores. This way the presence of anisotropies in the ice caused by the compression of the ice sheet and an increase of their strength with increasing depth are shown.     

Spanning trees and identifiability of a single-factor model

The aim of this paper is to propose conditions for exploring the class of identifiable Gaussian models with one latent variable. In particular, we focus attention on the topological structure of the complementary graph of the residuals. These conditions are mainly based on the presence of odd cycles and bridge edges in the complementary graph. We propose to use the spanning tree representation of the graph and the associated matrix of fundamental cycles. In this way it is possible to obtain an algorithm able to establish in advance whether modifying the graph corresponding to an identifiable model, the resulting graph still denotes identifiability.     

Words versus actions as a means to influence cooperation in social dilemma situations

We use a sequential voluntary contribution game to compare the relative impact of a first-mover’s non-binding announcement versus binding commitment on cooperation. We find that a non-binding announcement and a binding commitment increase individual contributions to a similar extent. Since announced contributions systematically exceed commitments, in sessions with a non-binding announcement, second-movers tend to contribute more to the group activity than in sessions with a binding commitment. Yet, second-movers appear to be more motivated towards achieving a social optimum when the first-mover uses commitment. We also find that a non-binding announcement has a higher impact on individual propensity to cooperate than the ex post contribution of the first-mover. However, the failure to make announced contributions decreases cooperation even though the first-mover is reassigned in every period.     

Integration and efficiency convergence in EU banking markets

Evidence of financial integration and convergence are considered of importance in assessing the outcome of EU deregulation policies aimed at improving the efficiency and performance of banking sectors. This paper evaluates the recent dynamics of bank cost efficiency by means of data envelopment analysis (DEA). Borrowing from the growth literature, we apply dynamic panel data models (GMM) to the concepts of β-convergence and σ-convergence to assess the speed at which banking markets are integrating. We also employ a partial adjustment model to evaluate convergence towards best practice. Results seem to provide supporting evidence of convergence of efficiency levels towards an EU average. Nevertheless, there is no evidence of an overall improvement of efficiency levels towards best practice.     

Testing for state dependence in binary panel data with individual covariates by a modified quadratic exponential model

We propose a test for state dependence in binary panel data with individual covariates. For this aim, we rely on a quadratic exponential model in which the association between the response variables is accounted for in a different way with respect to more standard formulations. The level of association is measured by a single parameter that may be estimated by a Conditional Maximum Likelihood (CML) approach. Under the dynamic logit model, the conditional estimator of this parameter converges to zero when the hypothesis of absence of state dependence is true. Therefore, it is possible to implement a t-test for this hypothesis which may be very simply performed and attains the nominal significance level under several structures of the individual covariates. Through an extensive simulation study, we find that our test has good finite sample properties and it is more robust to the presence of (autocorrelated) covariates in the model specification in comparison with other existing testing procedures for state dependence. The proposed approach is illustrated by two empirical applications: the first is based on data coming from the Panel Study of Income Dynamics and concerns employment and fertility; the second is based on the Health and Retirement Study and concerns the self reported health status.     

Fitting three-dimensional Laguerre tessellations to foam structures

Foam models, especially random tessellations, are powerful tools to study the relations between the geometric structure of foams and their physical properties. In this paper, we propose the use of random Laguerre tessellations, weighted versions of the well-known Voronoi tessellations, as models for the microstructure of foams. Based on geometric characteristics estimated from a tomographic image of a closed-cell polymer foam, we fit a Laguerre tessellation model to the material. It is shown that this model allows for a better fit of the geometric structure of the foam than some classical Voronoi tessellation models.