Whole Family Theraplay: Integrating Family Systems Theory and Theraplay to Treat Adoptive Families

This article regarding the effectiveness of Theraplay for the clinical treatment of adoptive families both outlines a model for integrating family systems theory with Theraplay to create a new approach entitled Whole Family Theraplay (WFT), as well as provides a preliminary report of a pilot study demonstrating the efficacy of that model. WFT integrates Theraplay with family systems approaches (Structural and Experiential Family Therapies) to treat parents and all the siblings within adoptive families. The findings indicate that WFT treatment may lead to statistically significant benefits in regard to family communication, adults’ interpersonal relationships, and children's overall behavioral functioning.     

The impact of AIDS on income and human capital

This paper studies the impact of HIV/AIDS on per capita income and education. It explores two channels on how HIV/AIDS affects income that have not been sufficiently stressed by previous literature: the reduction of the incentives to stay in school due to shorter expected longevity and the reduction in productivity of experienced workers. In the model, individuals live for three periods, may get infected in the second period, and with some probability die of AIDS before reaching the third period of their lives. Parents care for the welfare of the future generations so that they will maximize lifetime utility of their dynasty. The simulations predict that the most affected countries in Sub-Saharan Africa in the future will be, on average, 30% poorer than they would be without AIDS. Schooling will decline in some cases by 40%. These figures are dramatically reduced with widespread medical treatment, as it increases the survival probability and productivity of infected individuals.     

Synergies and misalignments in lean and green practices: a logistics industry perspective

Abstract

This paper conducts an exploratory case study-based research in three companies to identify the main synergies and misalignments between Lean and Green in the context of a range of distribution networks operating globally, regionally and domestically. The research strategy applied by this study is exploratory multiple case studies in three companies, particularly in the road transport and logistics sector. Semi-structured interviews with 15 executives from three companies were conducted to identify activities within logistics operations leading to synergies and misalignment between Lean and Green practices. The outcome of the three cases shows that several improvements can be achieved by the simultaneous adoption of Lean and Green. The study contributes to the literature by extending the research in the logistics sector and providing examples from a wide variety of logistics operations on synergies and misalignments between Lean and Green practices. The findings and outcome of this study are a starting point for further research in the logistics sector.     

Finite sample performance of frequency- and time-domain tests for seasonal fractional integration

Testing the order of integration of economic and financial time series has become a conventional procedure prior to any modelling exercise. In this paper, we investigate and compare the finite sample properties of the frequency-domain tests proposed by Robinson [Efficient tests of nonstationary hypotheses, J. Amer. Statist. Assoc. 89(428) (1994), pp. 1420–1437] and the time-domain procedure proposed by Hassler, Rodrigues, and Rubia [Testing for general fractional integration in the time domain, Econometric Theory 25 (2009), pp. 1793–1828] when applied to seasonal data. The results presented are of empirical relevance as they provide some guidance regarding the finite sample properties of these tests.     

Markov-Correlated Poisson Processes

In this article, we present a simple generalization of the Bernoulli trials model to a Markov chain with an additional parameter that measures dependence. We then formulate a Markov correlated Poisson process which, due to its flexibility, has great potential for analyzing many practical processes including those for long-term survival analysis.     

The kullback - leibler approximation of the marginal posterior density: An application to the linear functional model

The main purpose of this paper is to introduce the Kullback - Leibler approximation to investigate the estimation of the unobserved x values in a simple linear regression model when the variables are measured vith error. The mean and the variance of the Kullback- Leibler approximatin are shown to coincide with the estimators considered by Fuller, (1987, p.38). The Kulback-Leibler approximation in the modal approximation (Kass et al., 1990) of the exact marginal posterior of the real value x.     

Nonlinear quasi-bayesian theory and inverse linear regression

We generalize Wedderburn's (1974) notion of quasi-likelihood to define a quasi-Bayesian approach for nonlinear estimation problems by allowing the full distributional assumptions about the random component in the classical Bayesian approach to be replaced by much weaker assumptions in which only the first and second moments of the prior distribution are specified. The formulas given are based on the Gauss-Newton estimating procedure and require only the first and second moments of the distributions involved. The use of GLIM package to solve for the estimation problems considered is discussed. Applications are made to estimation problems in inverse linear regression, regression models with both variables subject to error and also to the estimation of the size of animal populations. Some numerical illustrations are reported. For the inverse linear regression problem, comparisons with ordinary Bayesianand other techniques are considered.     

Choice,Competition and Care – Developments in English Social Care and the Impacts on Providers and Older Users of Home Care Services

This article critically examines recent changes in markets for home (domiciliary) care services in England. During the 1990s, the introduction of competition between private (for‐profit and charitable) organizations and local authority providers of long‐term care services aimed to create a ‘mixed economy’ of supply. More recently, care markets have undergone further reforms through the introduction of direct payments and personal budgets. Underpinned by discourses of user choice, these mechanisms aim to offer older people increased control over the public resources for their care, thereby introducing further competitive pressures within local care markets. The article presents early evidence of these changes on:

• The commissioning and contracting of home care services by local authorities and individual older people.
• The experiences and outcomes for individual older people using home care services.

Drawing on evidence from two recent empirical studies, the article describes how the new emphasis on choice and competition is being operationalized within six local care markets. There are suggestions of small increases in user agency and in opportunities for older people to receive more personalized home care, in which the quality of care‐giving relationships can also be optimized. However, the article also presents early evidence of increases in risk and costs associated with the expansion of competition and choice, both for organizations providing home care services and for individual older service users.     

A queueing model to study the occurrence and duration of ozone exceedances in Mexico City

It is well known that long-term exposure to high levels of pollution is hazardous to human health. Therefore, it is important to study and understand the behavior of pollutants in general. In this work, we study the occurrence of a pollutant concentration's surpassing a given threshold (an exceedance) as well as the length of time that the concentration stays above it. A general N(t)/D/1 queueing model is considered to jointly analyze those problems. A non-homogeneous Poisson process is used to model the arrivals of clusters of exceedances. Geometric and generalized negative binomial distributions are used to model the amount of time (cluster size) that the pollutant concentration stays above the threshold. A mixture model is also used for the cluster size distribution. The rate function of the non-homogeneous Poisson process is assumed to be of either the Weibull or the Musa–Okumoto type. The selection of the model that best fits the data is performed using the Bayes discrimination method and the sum of absolute differences as well as using a graphical criterion. Results are applied to the daily maximum ozone measurements provided by the monitoring network of the Metropolitan Area of Mexico City.     

A flexible model for survival data with a cure rate: a Bayesian approach

In this paper we deal with a Bayesian analysis for right-censored survival data suitable for populations with a cure rate. We consider a cure rate model based on the negative binomial distribution, encompassing as a special case the promotion time cure model. Bayesian analysis is based on Markov chain Monte Carlo (MCMC) methods. We also present some discussion on model selection and an illustration with a real data set.