Completing the Picture: The Challenges of Bringing “Consumption” into the Population–Environment Equation

The issue of environmentally significant consumption is closely linked to population–environment relationships, but with some exceptions the two literatures have proceeded along separate tracks. We explore three consumption–environment research agendas: household–level consumption; ecological footprints and material flow accounting; and values, attitudes, behaviors and lifestyles. In each of these we note areas of overlap with the population–environment literature, and ways in which the population–environment literature might benefit or borrow from conceptual or methodological approaches in the consumption–environment literature. We also propose ways in which consumption research might be integrated into the largest (in terms of funding) of the population–environment research agendas, land-use and land-cover change research. In the concluding section we present a conceptual framework for understanding the population–environment literature that incorporates production and consumption into the model, and we propose some population–consumption–environment (PCE) research areas to which the population-environment research community could make significant contributions.     

Dimensions of mental health: Life satisfaction,positive affect,anxiety and depression

Psychological well-being and psychological distress are often regarded as distinct, if not orthogonal dimensions of mental health. Based on analyses in this paper, we consider the distinction misleading. Four dimensions seem worth measuring in general population surveys: life satisfaction, positive affect, anxiety and depression. Furthermore, one of the well-being dimensions, life satisfaction, is quite strongly correlated with a distress dimension, depression. A person is unlikely to be both satisfied with life and depressed, but may be satisfied and anxious. The paper is based on convergent validity (exploratory and confirmatory factor analyses) and divergent validity assessments of a range of widely used measures, which were included in the Victorian Quality of Life Panel Survey, 1987.     

COMBINING SOCIAL,ECONOMIC AND ENVIRONMENTAL INDICATORS TO MEASURE SUSTAINABLE HUMAN WELL-BEING

In this paper an attempt is made to illustrate some ways in which social, economic and environmental indicators can be combined to tell a coherent story about the sustainability of human well-being. Using examples from the fields of health, the fishing industry and energy, it is argued that one's success at constructing a single comprehensive system of indicators of human well-being will always be limited by one's particular point of departure from social, economic or environmental indicators. If that is indeed the case, then it would be helpful for researchers to abandon attempts to construct single comprehensive utopian systems in favour of agreed upon lists of important goals, indicators and monitoring procedures that can be used to implement progressive social change.     

Migration and the quality of life: A review essay

This paper provides a review of the past 30 years of research on the relationships between migration or residential mobility and the quality of life broadly construed, mainly in Canada and the United States. In the final section a check-list of critical issues in quality-of-life research is given.     

The Appropriateness of Using Laboratories and Student Participants in Gambling Research

Increased recognition of the risks associated with gambling has resulted in a greater focus on empirical research to increase the understanding of gambling and design appropriate response strategies. Laboratory studies are a popular mode of research due to their relative ease and lower costs compared to field research; however such studies may be limited in the extent to which results can be generalized to real gambling scenarios. The current research investigated the validity of a laboratory research study using 127 university students (male = 97, mean age = 20.4) investigating the impact of harm-minimisation measures by replicating the study in gambling venues with 124 club patrons (male = 89, mean age = 44.1). The main results and effects of both studies were in the same direction, but fewer significant results were found in the venue study. Venue participants provided much less information in response to survey questions than student participants and were less likely to return follow-up questionnaires. It was concluded that both laboratory and field studies provide valuable contributions to the field, but caution should be taken in interpreting results, and where possible both methodologies should be used to verify conclusions.     

Generalized value at risk forecasting

Abstract

In this paper, using estimating function approach, a new optimal volatility estimator is introduced and based on the recursive form of the estimator a data-driven generalized EWMA model for value at risk (VaR) forecast is proposed. An appropriate data-driven model for volatility is identified by the relationship between absolute deviation and standard deviation for symmetric distributions with finite variance. It is shown that the asymptotic variance of the proposed volatility estimator is smaller than that of conventional estimators and is more appropriate for financial data with larger kurtosis. For IBM, Microsoft, Apple stocks and SP 500 index the proposed method is used to identify the model, estimate the volatility, and obtain minimum mean square error(MMSE) forecasts of VaR.