Gender Differences in Risk Perception: Theoretical and Methodological Perspectives

A substantial body of risk research indicates that women and men differ in their perceptions of risk. This paper discusses how they differ and why. A review of a number of existing empirical studies of risk perception points at several problems, regarding what gender differences are found in such studies, and how these differences are accounted for. Firstly, quantitative approaches, which have so far dominated risk research, and qualitative approaches give different, sometimes even contradictory images of women's and men's perceptions of risk. Secondly, the gender differences that appear are often left unexplained, and even when explanations are suggested, these are seldom related to gender research and gender theory in any systematic way. This paper argues that a coherent, theoretically informed gender perspective on risk is needed to improve the understanding of women's and men's risk perceptions. An analysis of social theories of gender points out some relations and distinctions which should be considered in such a perspective. It is argued that gender structures, reflected in gendered ideology and gendered practice, give rise to systematic gender differences in the perception of risk. These gender differences may be of different kinds, and their investigation requires the use of qualitative as well as quantitative methods. In conclusion, the arguments about gender and risk perception are brought together in a theoretical model which might serve as a starting point for further research.     

Looking at Markov samplers through cusum path plots: a simple diagnostic idea

In this paper, we propose to monitor a Markov chain sampler using the cusum path plot of a chosen one-dimensional summary statistic. We argue that the cusum path plot can bring out, more effectively than the sequential plot, those aspects of a Markov sampler which tell the user how quickly or slowly the sampler is moving around in its sample space, in the direction of the summary statistic. The proposal is then illustrated in four examples which represent situations where the cusum path plot works well and not well. Moreover, a rigorous analysis is given for one of the examples. We conclude that the cusum path plot is an effective tool for convergence diagnostics of a Markov sampler and for comparing different Markov samplers.     

Pseudo-observations for competing risks with covariate dependent censoring

Regression analysis for competing risks data can be based on generalized estimating equations. For the case with right censored data, pseudo-values were proposed to solve the estimating equations. In this article we investigate robustness of the pseudo-values against violation of the assumption that the probability of not being lost to follow-up (un-censored) is independent of the covariates. Modified pseudo-values are proposed which rely on a correctly specified regression model for the censoring times. Bias and efficiency of these methods are compared in a simulation study. Further illustration of the differences is obtained in an application to bone marrow transplantation data and a corresponding sensitivity analysis.     

Random Effect Threshold Models for Dose–Response Relationships with Repeated Measurements

A random threshold model for dose--response designs with repeated measurements is introduced. Inference procedures for this model are discussed. The framework of generalized linear models is used to propose a quasi-likelihood inference procedure. The feasibility of this approach is illustrated with the analysis of food science data concerning a forced choice sensory experiment.     

Gambling,Exchange Systems,and Moralities

History and ethnography show us that, across societies of the past and present, gambling varies considerably with respect to its organization, social meanings, and how it is regarded in moral terms. This paper presents a basic scheme for analyzing the relationship between gambling and society. A theoretical starting point is that reciprocity is fundamental to social and economic systems. An anthropological theory of exchange systems makes a broad distinction between a structural dimension (generalized versus balanced reciprocity) and a normative dimension (from voluntary to involuntary). A model of four basic forms of reciprocity, each having a characteristic exchange mode and morality, can thus be constructed. Gambling is here understood as an exchange system embedded in the reciprocal orders of society and having a necessary relationship to these; it can take on the characteristics of such an order or it can be regarded as conflicting with it. Much of the variation in the form and morality of gambling therefore emerges as systematic and explainable by a theory of forms of reciprocal exchange.     

An application of the nonprofit virtual accountability index: Accountability in sport for development and peace

In this research note, we examine web-based accountability practices of human service nonprofits. Data were collected directly from the organizational websites of an international sample of 532 organizations involved in operating sport for social change programs, more commonly known as the field of sport for development and peace. Websites were coded using the nonprofit virtual accountability index—a theoretically grounded and robust tool—to measure information and interactivity available for stakeholders across five dimensions of accountability. Analyses of variance and independent t-tests were used to test potential group differences based on geographical region, the thematic types of social change efforts, and the type of sport used to deliver programming. The results of this analysis highlight the critical importance of geographical location and other organizational variables for web-based accountability practices. Furthermore, the results allow nonprofit leaders to identify common areas in need of improvement for smaller and emerging nonprofits.     

DO PARTIES MATTER FOR ECONOMIC OUTCOMES? A REGRESSION‐DISCONTINUITY APPROACH

A long‐standing issue in political economics is to what extent party control makes a difference in determining fiscal and economics policies. This question is very difficult to answer empirically because parties are not randomly selected to govern political entities. This article uses a regression‐discontinuity design, namely, party control changes discontinuously at 50% of the vote share, which can produce “near” experimental causal estimates of the effect of party control on economic outcomes. The method is applied to a large panel data set from Swedish local governments with a number of attractive features. The results show that there is an economically significant party effect: Left‐wing governments spend and tax 2–3% more than right‐wing governments. Left‐wing governments also have 7%lower unemployment rates, which is partly due to that left‐wing governments employ 4% more workers than right‐wing governments. (JEL: C21, D72, D78, H71, H72)