Shelter Service Utilization of Domestic Violence Victims

This study examines service utilization among 283 adult victims of domestic violence identified by crisis responders as being in need of crisis services. The purpose of this study is to explore the differences between the domestic violence victims who choose to utilize shelter services and those who do not. Findings suggest that domestic violence victims who were more likely to utilize shelter services included those who had children at the time of the incident, victims who called for assistance from a location other than their home, victims who did not have a current order of protection in place, and victims who were injured during the domestic violence incident. Implications suggest more specific services to be provided by shelters.     

DYNAMICAL AND STATISTICAL MODELS FOR EXPLOITED POPULATIONS†

Human activities have indirectly modified the dynamics of many populations, accelerating considerably the natural rate of species extinction and raising strong concerns about biodiversity. In many such cases, the underlying ‘natural’ dynamics of the population has been modified by human‐induced increases in mortality, even if the populations are not exploited or harvested in the strict sense. Both dynamical and statistical models are needed to investigate the consequences of human‐induced mortality on the overall dynamics of a population. This paper reviews existing approaches and the potential of recent developments to help form a conceptual and practical framework for analysing the dynamics of exploited populations. It examines both the simple case of an extra source of mortality instantaneously in time, and the theory involved when both risks compete over a continuous time scale. This basic theory is expanded to structured populations, using matrix population models, with applications to the conservation biology of long‐lived vertebrates. The type and degree of compensation expected and approaches to detect it are reviewed, and ways of handling uncertainty are discussed.     

Comment confronter mobilité « subjective » et mobilité « objective » ?

The methods for analyzing objective social mobility and subjective mobility as perceived by individuals are reviewed in the case of two surveys: Trois générations by the French Old-Age Fund (CNAV, Caisse Nationale d'Assurance Vieillesse) and Formation qualification professionnelle by the French National Institute of Statistics and Economic Studies (INSEE). These two surveys have formulated subjective mobility in quite different ways, but this observation also holds for objective mobility, which, for the purpose of comparison with respondents' subjective evaluations, is defined using specific procedures. A method is proposed for contrasting these two sorts of mobility based on classical mobility tables. When the latter are designed so as to cross three variables (social origins, destinations and average scores of subjective mobility), the spontaneous sociology that can be collectively detected in the assessments made by respondents turns out to be not very different from the scholarly sociology of social categories produced by sociologists. After showing that subjective and objective mobility vary coherently in relation to each other, an additional hypothesis is advanced to account for some discrepancies.     

Le syndicat des travailleurs domestiques de Rio de Janeiro : un observatoire des transformations de l'emploi domestique au Brésil

This study of the major dimensions of actions undertaken by the labor union for household employees in Rio de Janeiro shows how the new “social rights” extended to these personal service workers has led to a new sense of what is “fair” and to an increase in lawsuits with employers. Given its place in labor relations courts, the union's position is ambivalent. Light is shed on the tensions between various categories of persons who visit the union's offices — tensions that tell us much about social relations. Attention is then turned to this small organization's role in labor courts: after cases have been heard, household employees often have a feeling that their rights have been upheld.     

Work and pay in flexible and regulated labor markets: A generalized perspective on institutional evolution and inequality trends in Europe and the U.S.

In recent years a “unified theory” has emerged out of labor economics, which argues that a combination of “macroeconomic shocks” and flexible labor market institutions in the U.S. has produced strong upward trends in wage inequality, while these same shocks have produced high unemployment and low employment growth in Europe as a side effect of the wage stability preserved by that continent's rigid labor market institutions. This paper takes issue with the common view that inequality trends are best explained by a model of stable institutions interacting with changing macroeconomic forces. It argues that European institutions in fact have changed, and that institutional changes which were triggered by the broader macroeconomic forces have affected the form as well as the size of inequality trends. While the U.S. has experienced rising strong skill-based wage inequality, institutional change in France has produced an upward trend in the density of insecure jobs and an increased concentration of low-skill workers in insecure jobs. These results challenge the view that low employment rates is the sole mechanism through which European labor markets have absorbed asymmetric shocks to their demand for labor.     

ON LIKELIHOOD ESTIMATION FOR DISCRETELY OBSERVED MARKOV JUMP PROCESSES

The parameter estimation problem for a Markov jump process sampled at equidistant time points is considered here. Unlike the diffusion case where a closed form of the likelihood function is usually unavailable, here an explicit expansion of the likelihood function of the sampled chain is provided. Under suitable ergodicity conditions on the jump process, the consistency and the asymptotic normality of the likelihood estimator are established as the observation period tends to infinity. Simulation experiments are conducted to demonstrate the computational facility of the method.     

Characterizing the Performance of the Conway‐Maxwell Poisson Generalized Linear Model

Count data are pervasive in many areas of risk analysis; deaths, adverse health outcomes, infrastructure system failures, and traffic accidents are all recorded as count events, for example. Risk analysts often wish to estimate the probability distribution for the number of discrete events as part of doing a risk assessment. Traditional count data regression models of the type often used in risk assessment for this problem suffer from limitations due to the assumed variance structure. A more flexible model based on the Conway‐Maxwell Poisson (COM‐Poisson) distribution was recently proposed, a model that has the potential to overcome the limitations of the traditional model. However, the statistical performance of this new model has not yet been fully characterized. This article assesses the performance of a maximum likelihood estimation method for fitting the COM‐Poisson generalized linear model (GLM). The objectives of this article are to (1) characterize the parameter estimation accuracy of the MLE implementation of the COM‐Poisson GLM, and (2) estimate the prediction accuracy of the COM‐Poisson GLM using simulated data sets. The results of the study indicate that the COM‐Poisson GLM is flexible enough to model under‐, equi‐, and overdispersed data sets with different sample mean values. The results also show that the COM‐Poisson GLM yields accurate parameter estimates. The COM‐Poisson GLM provides a promising and flexible approach for performing count data regression.     

Post-2008 Multi-Sited Household Practices: Between Morocco,Spain and Norway

The recent outmigration patterns from Southern Europe since the outbreak of the global economic crisis have interested many migration researchers. Despite their long migration history towards Europe, little is known about the onward migration of the Moroccan-born, yet this group was one of the most affected by the recession. Furthermore, studies on onward migration tend to focus on the individual perspective and overlook the non-economic factors that shape migration decisions. This article focuses on Moroccan-born migrants who, after several years in Spain, migrated to Norway after 2008. Through analysis of ten semi-structured interviews and fieldwork observations, onward migration practices are studied from the perspective of broader dynamics at the household level, which combine different types of migration and non-migration. Looking beyond the economic factors that triggered remigration, the article contributes to the discussion on onward migration, stressing its non-linear character and inserting it in wider multi-sited household projects in constant change.