Potential and probable pathological gamblers: Where do the differences lie?

A large proportion of adolescents engage in gambling activities and the prevalence of pathological gambling is high. This study presents a factor analysis of responses from 122 college students who obtained a score of 3 or greater on the South Oaks Gambling Screen (SOGS), the most widely used instrument to identify probable and potential pathological gamblers. The analysis showed five dimensions: Illegal Behaviors, Heavy Gambling, Eating Disorders, Parentally Modelled/Less Impulsive, and Worry. Analyses revealed that except for the Eating Disorders factor, all factors clearly differentiated the probable from potential pathological gamblers, as identified by the SOGS. Results raise important questions about the relationship of pathological gambling to other psychopathological or antisocial behaviors. Thus the probable pathological gambler category represents a wide-ranging behavioral profile that goes beyond gambling per se. Avenues for future research as well as clinical implications are discussed.This research was partially supported by grants from Le Fonds Richelieu, le Conseil Québécois de la Recherche Sociale and the Social Sciences and Humanities Research Council of Canada.     

The Endowment Effect,Status Quo Bias and Loss Aversion: Rational Alternative Explanation

The endowment effect, status quo bias, and loss aversion are robust and well documented results from experimental psychology. They introduce a wedge between the prices at which one is willing to sell or buy a good. The objective of this paper is to address this wedge. We show that the presence of asymmetric information in a rational-agent framework can also account for the endowment effect, status quo bias and loss aversion without invoking psychology-based explanations proposed in the past.     

Some Further Results on the Manipulability of Social Choice Rules

A typology of electoral environments in which strategic manipulation of voting rules can occur is proposed. From this typology, six different concepts of equilibria (or quasi-equilibria) are defined, including the usual ones. Then, focusing on three alternative elections, we derive some analytical representations for the vulnerability of a large number of voting rules to strategic manipulation by considering successively each type of equilibrium. Our results show that the hierarchy of the rules changes when the voting framework is modified. However, some rules are clearly dominated and some others (among which the Borda and the Nanson rules) appear to be uniquely the best in some specific contexts.     

L'important,C'est Les Lunettes

Applying mathematics to solve any problem inevitably grants an aura of objectivity and truth to the results generated through such methodology. However, mathematics remains a means of elucidation that functions within strict constraints of tractability and stylization. Despite the aesthetics of models and the precision of computation, mathematical representations are but a shadow of the reality they seek to characterize. Nonetheless, because mathematics' pure form hides its own limitations, it becomes a privileged site of scholastic reason and, at the same time, of symbolic violence, two notions that Bourdieu theorized in his work. Despite this handicap, Bourdieu recognized the importance of formalizing tools such as those derived from mathematics. He thus devised many strategies to take advantage of their power of elucidation while avoiding the distortions and dogmatic stance they unavoidably bring about. This paper examines these strategies in detail to further inspire the identification of a number of reflexive approaches that can deflect the potential symbolic violence of mathematical reasoning. In this analysis, particular attention is given to the specific needs of practitioners engaged in mathematical formulation such as economists, statisticians, operations researchers and other quantitative scientists. This process of reflexive discovery is then used to enrich the notion of ‘specific intellectual’ that Foucault introduced and that Bourdieu further specified and ‘lived’. The paper concludes by foregrounding the perhaps unexpected moral dimensions of applied mathematics, a discipline that otherwise often appear distant and esoteric.     

Mutual Aid: A Contribution to Best-Practice Social Work

This keynote speech, delivered in French and translated to English with minor adjustments for publication, presents some of the author's ideas about mutual-aid practice as best-practice social work. The author discusses the etiology and centrality of mutual aid in social work with groups, presents five characteristics of mutual-aid practice that reflect best-practice social work and identifies four key characteristics—joy in sharing, faith, courage, and curiosity—of mutual-aid practitioners. Similarities between mutual-aid practice and evidence-based group work, practice evaluation and participatory-action research are discussed as well. The author presents group work as inherently evidence based and challenges the idea that subjective measures alone may not be valid in reaching this determination.     

Multiple criteria decision analysis of treatment and land-filling technologies for waste incineration residues

In this paper, we present a real-world case realized in Switzerland on behalf of the federal agency in charge of the waste policy. The incineration of urban wastes generates hazardous residues that need specific treatment and/or land-filling technologies. The variety of local situations and appraisals led to the choice of very different solutions. Moreover, proponents were keen to propose new technologies. The purpose of this study was to provide the background for a national policy that would apply to all future projects.     

Estimation of k-Factor GIGARCH Process: A Monte Carlo Study

In this article, we discuss the parameter estimation for a k-factor generalized long-memory process with conditionally heteroskedastic noise. Two estimation methods are proposed. The first method is based on the conditional distribution of the process and the second is obtained as an extension of Whittle's estimation approach. For comparison purposes, Monte Carlo simulations are used to evaluate the finite sample performance of these estimation techniques, using four different conditional distribution functions.