Health and well-being of older workers: comparing their associations with effort–reward imbalance and Pressure,Disorganisation and Regulatory Failure

Work organisation has well-established associations with health. This study compares the associations of Pressure, Disorganisation and Regulatory Failure (PDR) and effort–reward imbalance (ERI) with health and well-being among older workers. Participants were 714 Australian workers aged 45–65 (56.3% female), with a mean age of 54.6 years (SD = 5.0) and a mean of 34.7 working hours per week (SD = 13.9). Hierarchical regression analyses tested the strengths of the associations of both ERI and PDR with work–life conflict and mental health. Independent variables were entered in blocks: demographic characteristics (age and gender), working hours and then ERI or PDR (measured using the four subscales: financial pressure, reward pressure, disorganisation and regulatory failure). Compared to ERI, the PDR subscales collectively accounted for slightly less variance in work–life conflict and slightly more variance in mental health. The PDR subscales also accounted for extra variance in both dependent variables when ERI was included in the model. These findings indicate that PDR is a promising construct that includes elements of work organisation not addressed by ERI.     

Where is the Fed in the distribution of forecasters?

Previous research comparing the Fed's Greenbook forecasts with a median forecast from a private-sector panel has found that the Fed's forecasts are superior. These comparisons potentially miss information from other parts of the distribution of forecast errors. We compare the Fed's forecast errors to the upper and lower quartiles from the Survey of Professional Forecasters’ forecast errors and find that errors in the lower quartile are significantly smaller. We further investigate whether the forecasters who produced those forecast errors can be identified ex-ante and find that while possible the practicality of this finding is limited due to forecaster turnover.     

Conceptualizing discourses on environmental refugees at the United Nations

This paper conceptualizes the absence of multilateral protection for environmental refugees. It does this by critically scrutinizing interviews conducted with United Nations ambassadors and senior diplomats in 2004 (n = 45) in a number of key policy-making locations. These interviews reveal that an absence of policy on environmental refugees has been reproduced by discursive politics at the United Nations. The reasons for which are explored here in this paper, and include shifting attitudes towards the role of multilateralism and environmental issues generally.     

Adapting production for private label goods

Linear Programming (LP) is a valuable tool of operational research and has been applied successfully to problems of production scheduling, particularly in the process industries. It is dependent to a large degree on forecasts of demand for the products: when demand is erratic, production scheduling suffers, whatever the technique employed. LP is sometimes adopted, however, in situations which do not necessarily warrant its use. Such a case arose when considering the production difficulties of private label goods in the food industry. The problem was eventually modified with the full cooperation of management, despite initial opposition. The solution found was to adapt as a company to market conditions, instead of forcing the production function to operate within artificial constraints.     

Portfolio Selection Using Stochastic Dominance Criteria

The direct application of stochastic dominance criteria to portfolio selection problems has been thought impractical because an extremely large number of combinations of returns must be considered. This paper proposes and evaluates a rigorous statistical procedure for sampling the combinations of returns on candidate risky assets so that stochastic dominance criteria may be used directly in an efficient linear programming model for portfolio selection. The sampling scheme exploits the association of the return on each candidate stock with the return on a market index in a manner analogous to the Sharpe single-index model, thereby eliminating the large number of combinations with probabilities close to or equalling zero. Portfolios computed by the proposed linear programming stochastic dominance model are compared with those computed by the single-index quadratic programming model, using 180 months of recent data on a sample of NYSE common stocks.     

Risk Factors for Problem Gambling in California: Demographics,Comorbidities and Gambling Participation

While population surveys have been carried out in numerous jurisdictions internationally, little has been done to assess the relative strength of different risk factors that may contribute to the development of problem gambling. This is an important preparatory step for future research on the etiology of problem gambling. Using data from the 2006 California Problem Gambling Prevalence Survey, a telephone survey of adult California residents that used the NODS to assess respondents for gambling problems, binary logistic regression analysis was used to identify demographic characteristics, health-related behaviors, and gambling participation variables that statistically predicted the odds of being a problem or pathological gambler. In a separate approach, linear regression analysis was used to assess the impact of changes in these variables on the severity of the disorder. In both of the final models, the greatest statistical predictor of problem gambling status was past year Internet gambling. Furthermore, the unique finding of a significant interaction between physical or mental disability, Internet gambling, and problem gambling highlights the importance of exploring the interactions between different forms of gambling, the experience of mental and physical health issues, and the development of problem gambling using a longitudinal lens.     

Evidencing the harms of hate speech

The ways in which targeted communities experience hate speech is an important, but often neglected, component of the debate over the legitimacy of hate speech laws. This article reports on data drawn from interviews conducted with 101 members of Indigenous and minority ethnic communities in Australia regarding their experiences of hate speech. We give voice to targets’ experiences of face-to-face and more widely broadcast hate speech, and outline the constitutive and consequential harms they claim to have suffered. We assess these against the alleged harms of hate speech in the literature, finding a close correlation between targets’ reports and the literature.     

An examination of the disparity between self-identified versus legally identified rape victimization: A pilot study

ABSTRACT

Objective: Researchers compared rape victimization based on self-identification to the current federal legal definition in a pilot study of college students. Methods: The sample was comprised of 1,648 (69.8% female; 30.2% male) college students who completed the Sexual Experiences Survey—Short Form Victimization (SES-SFV) online. Results: Based on the current legal definition of rape, 9.4% (11.1% female; 5.2% male) of students had been raped since being enrolled, but only 2.9% of students self-identified as being raped. Moreover, 15.1% of students reported ever being raped, with females acknowledging higher rates (19.7%) than males (4.3%). Conclusions: Rape continues to be a major issue for colleges and universities. A serious concern is the disparity between the number of those who met the behavioral criteria for rape victimization based on the current legal definition, but who did not self-identify as a victim. Universities must address this disparity by using multiple measures to assess the prevalence of sexual violence on campus.