LATIN AMERICAN IMMIGRATION TO SPAIN

On the whole, Latin American migration currently represents the highest percentage of migration into the Spanish state. This situation results from a series of factors, combined in both the points of origin and destination, and relating to the economic policies of the emitting and receiving countries within the framework of globalization. However, despite the way in which the phenomenon is portrayed by politicians and the media, this predominance is not due exclusively to the historical and cultural ties between Latin America and Spain, but rather to the implementation of a complex series of legal measures which contribute to the constant renewal of national collectives at the service of the labour markets in search of the desired ‘flexibility’ based on ethnic and gender segmentation of migrant workers.     

Reporting disability in the age of austerity: the changing face of media representation of disability and disabled people in the United Kingdom and the creation of new ‘folk devils’

Following its election in 2010 the UK’s Coalition Government has sought to implement radical restructuring of disability-related benefits justified by reference to the financial crises of 2007/08. In this article we examine how these changes have impacted on coverage of disability in the UK media comparing and contrasting coverage of disability in newspapers in 2010/11 with a similar period in 2004/05. Our analysis suggests that disabled people have become a ‘folk devil’ and that there has been a significant change in the way that disability is reported. Newspaper coverage in 2010/11 was less sympathetic and there was an increase in articles that focused on disability benefit and fraud, and an increase in the use of pejorative language to describe disabled people. An audience reception study suggests that this coverage is having an impact on the way that people think about disabled people.     

‘What did you think about that?’ Researching children's perceptions of participation in a longitudinal genetic epidemiological study

This paper examines how empirical study of children's involvement in non‐therapeutic health research can contribute to our understanding of the significance of the research to the children themselves. This raises issues that are pertinent to, and which will guide policy relating to ethical protection in research. The paper begins with a brief review of the literature considering how children perceive research in general, and non‐therapeutic health research in particular. The empirical study is then described, outlining the approach to sampling, recruitment and the focus group method used. This is followed by consideration of several key issues relating to research with children, with particular reference to ethical protection. Copyright © 2002 John Wiley & Sons, Ltd.     

The management of professional roles during boundary work in child welfare

Hall C, Slembrouck S, Haigh E, Lee A. The management of professional roles during boundary work in child welfare Int J Soc Welfare 2010: 19: 348–357 © 2010 The Author(s), Journal compilation © 2010 Blackwell Publishing Ltd and International Journal of Social Welfare. This article examines the ways in which child welfare professionals negotiate their roles and those of other professionals in home visits with clients, in this case the parents of young children. The concept of boundary work is developed within the context of the professional–client encounter. Drawing on Goffman's concept of ‘footing’, the analysis examines how professionals attend to ways of constructing family problems in terms of appropriate professional interventions – both from themselves and others. It is argued that the careful consideration of how problems merit interventions displays an adherence to the development of the supportive relations which move beyond strict professional remits. The article adds to the research evidence, which sees inter‐professional coordination as a complex matter, located in everyday practice rather than as advocating more tightly monitored procedure.     

Modeling the Public Health System Response to a Terrorist Event in the Food Supply

We have developed a simulation model to quantify and characterize the response of the public health system and the impact of public health advisories in the event of an intentional contamination of the food supply. The model has three components: (1) definition of individual exposure over time and the outcomes of exposure, (2) definition of the geographical dispersal of exposures, and (3) response of the public health authorities to symptomatic individuals. The model explicitly considers the variation in the multiple interrelated facets of the response system, including differences among individuals' responses to exposure, variation between health care providers, and the subsequent processing of samples and confirmation of cases. To illustrate use of the model, case studies with  Escherichia coli  O157:H7 and  Salmonella  spp. in three categories of food vehicle were compared. The level of detail required to run the public health component of the model is not trivial. While some data may not be available for hazards of particular interest in potential bioterrorism events, the application of expert judgment permits comparisons between different agents, different system reactions, and other assumptions within the system. The model provides the capacity to study the impact of system changes, to compare scenarios and to quantify the benefits of improvement in terms of averted exposures and risk reduction, and constitutes a significant aid to understanding and managing these threats. Essentially, the model provides an explicit valuation of time saved in the identification and intervention in terrorist events in the food supply.     

The Block-Block Bootstrap for Time Series

This article proves that the block-block bootstrap of Andrews (2004 Andrews , D. W. K. ( 2004 ). The block-block bootstrap: improved asymptotic refinements . Econometrica 72 ( 3 ): 673 – 700 .[Crossref], [Web of Science ®] , [Google Scholar]) can be helpful to provide asymptotic refinements for the GMM estimator when autocorrelation structures of moment functions are unknown (i.e., incorporating the HAC covariance matrix) and when we allow for statistics that are inefficient. The asymptotic refinements of this block-block bootstrap in the time series context are shown to exist with the use of less restricted kernels than in the block bootstrap in Inoue and Shintani (2006 Inoue , A. , Shintani , M. ( 2006 ). Bootstrapping GMM estimators for time series . J. Econometrics 113 : 531 – 555 .[Crossref] , [Google Scholar]), since they do not require to have a characteristic exponent larger than 2. The procedure allows to apply in practice kernels that guarantee that the HAC covariance matrix estimator is positive semidefinite, and to get asymptotic refinements at the same time.     

Filtering via approximate Bayesian computation

Approximate Bayesian computation (ABC) has become a popular technique to facilitate Bayesian inference from complex models. In this article we present an ABC approximation designed to perform biased filtering for a Hidden Markov Model when the likelihood function is intractable. We use a sequential Monte Carlo (SMC) algorithm to both fit and sample from our ABC approximation of the target probability density. This approach is shown to, empirically, be more accurate w.r.t.?the original filter than competing methods. The theoretical bias of our method is investigated; it is shown that the bias goes to zero at the expense of increased computational effort. Our approach is illustrated on a constrained sequential lasso for portfolio allocation to 15 constituents of the FTSE 100 share index.