A life course approach to understanding homelessness of shelter residents

ABSTRACT

Using in-depth interviews of 40 residents from a homeless shelter in El Paso, Texas in the United States, this study examines the etiology, processes, and patterns of homelessness by assessing those confronting homeless spells at different time points and for varying reasons. Our study is guided by the research questions: How did residents of homeless shelters experience transitions and turning points of homelessness? What were the coping resources that homeless people drew on to overcome life adversities? Overall, we found that risk accumulation as a result of different traumatic events, such as death of a family member, marital or relationship breakdown, victimization, unemployment, substance addiction, poor mental health, or discrimination confronted in varied contexts, could serve as precursors or consequences that exacerbated the housing crisis over the course of a life. We recommend that efforts geared toward remediating, alleviating, or preventing homelessness be life course driven. It is only through compassion and empathy rather than criminalizing and stigmatizing that we can help stop the triggers and spread of the downward spiral of homelessness.     

Making Rural and Remote Communities More Age-Friendly: Experts’ Perspectives on Issues,Challenges, and Priorities

With the growing interest worldwide in making communities more age-friendly, it is becoming increasingly important to understand the factors that help or hinder communities in attaining this goal. In this article, we focus on rural and remote communities and present perspectives of 42 experts in the areas of aging, rural and remote issues, and policy who participated in a consensus conference on age-friendly rural and remote communities. Discussions highlighted that strengths in rural and remote communities, such as easy access to local leaders and existing partnerships, can help to further age-friendly goals; however, addressing major challenges, such as lack of infrastructure and limited availability of social and health services, requires regional or national government buy-in and funding opportunities. Age-friendly work in rural and remote communities is, therefore, ideally embedded in larger age-friendly initiatives and supported by regional or national policies, programs, and funding sources.     

Tests for the variance parameter in the Fay–Herriot model

The Fay–Herriot model is a linear mixed model that plays a relevant role in small area estimation (SAE). Under the SAE set-up, tools for selecting an adequate model are required. Applied statisticians are often interested on deciding if it is worthwhile to use a mixed effect model instead of a simpler fixed-effect model. This problem is not standard because under the null hypothesis the random effect variance is on the boundary of the parameter space. The likelihood ratio test and the residual likelihood ratio test are proposed and their finite sample distributions are derived. Finally, we analyse their behaviour under simulated scenarios and we also apply them to real data.     

The Effects of Transformational Leadership on Organizational Performance through Knowledge and Innovation*

Today's information and knowledge society requires new leaders who can confront a reality based on knowledge and foster innovation to achieve improvements in organizational performance. However, organizations sometimes fail to achieve sustainable competitive advantage due to their limited understanding of the relationships between these strategic variables. To date, very little research has analysed the direct and indirect relationships between these variables. Our study seeks to fill this research gap by analysing theoretically and empirically how the leader's perceptions of different intermediate strategic variables related to knowledge (knowledge slack, absorptive capacity, tacitness, organizational learning) and innovation influence the relation between transformational leadership and organizational performance. Based on the literature, we develop a theoretical model that shows the interrelations between these variables. We then test the model using data from 408 Spanish organizations, discuss the findings and provide several implications for business practitioners.     

Small area estimation under random regression coefficient models

Statistical agencies are interested to report precise estimates of linear parameters from small areas. This goal can be achieved by using model-based inference. In this sense, random regression coefficient models provide a flexible way of modelling the relationship between the target and the auxiliary variables. Because of this, empirical best linear unbiased predictor (EBLUP) estimates based on these models are introduced. A closed-formula procedure to estimate the mean-squared error of the EBLUP estimators is also given and empirically studied. Results of several simulation studies are reported as well as an application to the estimation of household normalized net annual incomes in the Spanish Living Conditions Survey.     

A comparison of uniformity tests

Problems of goodness-of-fit to a given distribution can usually be reduced to test uniformity. The uniform distribution appears due to natural random events or due to the application of methods for transforming samples from any other distribution to the samples with values uniformly distributed in the interval (0, 1). Thus, one can solve the problem of testing if a sample comes from a given distribution by testing whether its transformed sample is distributed according to the uniform distribution. For this reason, the methods of testing for goodness-of-fit to a uniform distribution have been widely investigated. In this paper, a comparative power analysis of a selected set of statistics is performed in order to give suggestions on which one to use for testing uniformity against the families of alternatives proposed by Stephens [Stephens, M.A., 1974, EDF statistics for goodness of fit and some comparisons. Journal of the American Statistical Association, 69, 730–737.]. Definition and some relevant features of the considered test statistics are given in section 1. Implemented numerical processes to calculate percentage points of every considered statistic are described in section 2. Finally, a Monte Carlo simulation experiment has been carried out to fulfill the mentioned target of this paper.     

Expedient and Monotone Learning Rules

This paper considers learning rules for environments in which little prior and feedback information is available to the decision maker. Two properties of such learning rules are studied: absolute expediency and monotonicity. Both require that some aspect of the decision maker's performance improves from the current period to the next. The paper provides some necessary, and some sufficient conditions for these properties. It turns out that there is a large variety of learning rules that have the properties. However, all learning rules that have these properties are related to the replicator dynamics of evolutionary game theory. For the case in which there are only two actions, it is shown that one of the absolutely expedient learning rules dominates all others.