An exploratory analysis of select predictors of concern for law and order

Within the last decade concern for law and order has become a major domestic issue. Presidential candidates have campaigned on the issue. Opinion polls have charted the growing public concern. Crime statistics have reported startling growth in the number of serious crimes committed in the United States. This paper attempts to assess the ability of different variables to predict and explain this high concern. Two aspects of concern will be discussed: (1) awareness of and (2) willingness to do something about crime. Theoretically little is known about how awareness for a social problem can be translated into forms of action to deal with the perceived problem. Methodologically, a technique is needed for assessing the relative importance of different variables related to the problem area. Path analysis is discussed as a possible technique. The data was collected through a random sample of heads-of-households in the State of Washington during the summer of 1970 (N=3101; response rate=75%). Some of the major findings include: (1) people in larger cities are more aware of a crime problem than people in smaller cities and towns, but people in larger cities are less willing to allocate tax dollars to combat crime; (2) the size of city, and implicitly the crime rate, is the most important variable for understanding the public awareness of crime; (3) the elderly and those of conservative orientation are more willing to allocate funds to combat crime than the young and liberal, although there exists no difference in their awarencess of the problem; and (4) relative exposure to mass media, socio-economic status, or identification with one's community make little contribution to the understanding of either awareness of crime or willingness to allocate tax dollars to combat crime.     

YOUNG REFUGEES TALK ABOUT WELL‐BEING: A QUALITATIVE ANALYSIS OF REFUGEE YOUTH MENTAL HEALTH FROM THREE STATES

Young people from refugee backgrounds face enormous challenges in the settlement process within Australia. They must locate themselves within a new social, cultural, geographic and adult space, yet also try to find security within the spaces of their own families and ethnic communities. Traumas of the past can mix with painful experiences of the present. The stressors in the lives of these young people can be both complex and diverse. This paper explores the nature of these stressors among young people from refugee backgrounds living in Australia. It is based on in‐depth interviews with 76 young people from refugee backgrounds now living in Brisbane, Adelaide and Perth. A qualitative analysis of the impact of these stressors as well as the coping strategies employed are discussed. It is argued that trauma exists within a life continuum and that approaches to supporting young people in these circumstances should be wary of limiting their focus to biomedical categories such as Post Traumatic Stress Disorder or Acculturation Stress and instead focus on a wider social context.     

Common-factor stochastic volatility modelling with observable proxy

Multi-asset modelling is of fundamental importance to financial applications such as risk management and portfolio selection. In this article, we propose a multivariate stochastic volatility modelling framework with a parsimonious and interpretable correlation structure. Building on well-established evidence of common volatility factors among individual assets, we consider a multivariate diffusion process with a common-factor structure in the volatility innovations. Upon substituting an observable market proxy for the common volatility factor, we markedly improve the estimation of several model parameters and latent volatilities. The model is applied to a portfolio of several important constituents of the S&P500 in the financial sector, with the VIX index as the common-factor proxy. We find that the prediction intervals for asset forecasts are comparable to those of more complex dependence models, but that option-pricing uncertainty can be greatly reduced by adopting a common-volatility structure. The Canadian Journal of Statistics 48: 36–61; 2020 © 2020 Statistical Society of Canada     

Multivariate analysis of variance with additional data from an unknown subset of the populations

In this paper we consider the problem of testing the means of k multivariate normal populations with additional data from an unknown subset of the k populations. The purpose of this research is to offer test procedures utilizing all the available data for the multivariate analysis of variance problem because the additional data may contain valuable information about the parameters of the k populations. The standard procedure uses only the data from identified populations. We provide a test using all available data based upon Hotelling' s generalized T²statistic. The power of this test is computed using Betz's approximation of Hotelling' s generalized T²statistic by an F-distribution. A comparison of the power of the test and the standard test procedure is also given.     

Disordered Gambling Prevalence: Methodological Innovations in a General Danish Population Survey

We study Danish adult gambling behavior with an emphasis on discovering patterns relevant to public health forecasting and economic welfare assessment of policy. Methodological innovations include measurement of formative in addition to reflective constructs, estimation of prospective risk for developing gambling disorder rather than risk of being falsely negatively diagnosed, analysis with attention to sample weights and correction for sample selection bias, estimation of the impact of trigger questions on prevalence estimates and sample characteristics, and distinguishing between total and marginal effects of risk-indicating factors. The most significant novelty in our design is that nobody was excluded on the basis of their response to a ‘trigger’ or ‘gateway’ question about previous gambling history. Our sample consists of 8405 adult Danes. We administered the Focal Adult Gambling Screen to all subjects and estimate prospective risk for disordered gambling. We find that 87.6% of the population is indicated for no detectable risk, 5.4% is indicated for early risk, 1.7% is indicated for intermediate risk, 2.6% is indicated for advanced risk, and 2.6% is indicated for disordered gambling. Correcting for sample weights and controlling for sample selection has a significant effect on prevalence rates. Although these estimates of the ‘at risk’ fraction of the population are significantly higher than conventionally reported, we infer a significant decrease in overall prevalence rates of detectable risk with these corrections, since gambling behavior is positively correlated with the decision to participate in gambling surveys. We also find that imposing a threshold gambling history leads to underestimation of the prevalence of gambling problems.     

Six Distributional Effects of Environmental Policy

While prior literature has identified various effects of environmental policy, this note uses the example of a proposed carbon permit system to illustrate and discuss six different types of distributional effects: (1) higher prices of carbon‐intensive products, (2) changes in relative returns to factors like labor, capital, and resources, (3) allocation of scarcity rents from a restricted number of permits, (4) distribution of the benefits from improvements in environmental quality, (5) temporary effects during the transition, and (6) capitalization of all those effects into prices of land, corporate stock, or house values. The note also discusses whether all six effects could be regressive, that is, whether carbon policy could place disproportionate burden on the poor.     

The influence of CEO equity incentives on licensing

In a study of life science firms, we find that, in accordance with predictions drawn from agency theory and behavioral agency theory, CEO stock ownership is negatively associated with licensing while CEO stock options are positively associated with licensing. Furthermore, by combining theoretical insights from the capabilities literature with both agency theory and behavioral agency theory, we predict that a key measure of capabilities in the licensing context—a firm's alliance experience—significantly influences the ways in which CEO equity incentives impact licensing. More specifically, we find that, in accordance with our theoretical predictions, alliance experience positively (negatively) moderates the relationship between CEO stock ownership (CEO stock options) and licensing. Our study contributes to the wider literature on the determinants of licensing by examining whether licensing is sensitive to CEO equity incentives. We also extend the capabilities literature on licensing by examining the contrasting influences of a firm's alliance experience on the relationship between CEO equity incentives and licensing. Our findings also inform behavioral agency-based research on the effects of equity incentives by highlighting the usefulness of a capabilities perspective in augmenting our understanding of the behavioral role of CEO equity incentives.     

Hepatitis C knowledge among staff in U.S. drug treatment programs

Staff in drug treatment programs are in an optimal position to support the hepatitis C related needs of their patients. To do so effectively, however, staff need to have accurate information about the hepatitis C virus (HCV). This article examines the HCV knowledge of staff (N= 104) in two drug-free and two methadone maintenance treatment programs (MMTPs) in the New York metropolitan area. Five of 20 items on an HCV Knowledge Assessment were not answered correctly by the majority of the participating staff, and total scores on the Assessment averaged 70%, 71%, and 45% among the medically credentialed staff, non-medically credentialed staff in the MMTPs, and non-medically credentialed staff in the drug-free programs, respectively. The majority of those in the latter group had never participated in a training specifically devoted to HCV. Results suggest the need for effective HCV-related training for all staff in drug treatment programs.