It is not just about paying your dues: Impact of generational cohort on active and passive union participation

The lack of a validated measure of active–passive union participation and a dearth of research into the relationship between generational cohort and union participation challenge union leaders to develop policies and practices to facilitate union renewal. We address these issues by (a) developing a multidimensional measure of union participation that captures both active and passive components, (b) using structural equation modelling to validate the measure within a nomological framework, and (c) investigating the impact of generational cohort on all paths in our framework. Data from members of a large American union confirm that generational cohort influences how union members participate in their union. The two‐factor measure developed in this study facilitates research into antecedents and outcomes of passive and active union participation. Our findings should also prove useful to unions seeking to increase participation within their membership, academics researching unions and generational cohort, and human resource practitioners operating in unionised environments.     

Time series copulas for heteroskedastic data

We propose parametric copulas that capture serial dependence in stationary heteroskedastic time series. We suggest copulas for first‐order Markov series, and then extend them to higher orders and multivariate series. We derive the copula of a volatility proxy, based on which we propose new measures of volatility dependence, including co‐movement and spillover in multivariate series. In general, these depend upon the marginal distributions of the series. Using exchange rate returns, we show that the resulting copula models can capture their marginal distributions more accurately than univariate and multivariate generalized autoregressive conditional heteroskedasticity models, and produce more accurate value‐at‐risk forecasts.     

A hybrid information approach to predict corporate credit risk

This study proposes a hybrid information approach to predict corporate credit risk. In contrast to the previous literature that debates which credit risk model is the best, we pool information from a diverse set of structural and reduced‐form models to produce a model combination based on credit risk prediction. Compared with each single model, the pooled strategies yield consistently lower average risk prediction errors over time. We also find that while the reduced‐form models contribute more in the pooled strategies for speculative‐grade names and longer maturities, the structural models have higher weights for shorter maturities and investment grade names.     

Using Industry-Sponsored Game Nights to Educate About Risk and Insurance

As educators in the field of risk management and insurance, we see know- ledge of risk management and insurance as a core business function. However, some colleagues and students see insurance as cold-call sales or companies with a lot of money that continue to raise their prices. So we have to find ways to make our public aware of the usefulness of risk management and insurance in the business world and in private life and of the opportunities that having such knowledge presents to all business majors and business people. One method that is beginning to show dramatic improvements in at least our students' perceptions of the field and the major involves industry-sponsored game nights. While not an academic endeavor nor strictly risk management education, we believe the idea provides a useful tool for opening students' eyes to the need for knowledge of risk management and insurance and of the opportunities that are available in the insurance industry and its related fields. This article discusses the history of such an event at Appalachian State Univer- sity, the current status of the North Carolina Surplus Lines Association (NCSLA) event, and the benefits of the event.     

An Illuminating Exchange The Construction of Social Reality

A BSTRACT . In his The Construction of Social Reality , Searle presents an account of rights, responsibilities, obligations, duties, and similar entities in terms of the formula X counts as Y in context C , where " X " refers in the simplest case to some physical object or event and " Y " to the result of imposing upon X some deontic power or function. Smith attempts to show the limitations of this formula, focusing especially on the examples of contested property rights (where C is not uniquely defined), and of money in bank accounts and other phenomena (where no physical X -term is available). Searle responds to these criticisms, above all by pointing to the fact that some of the problems Smith raises are to be addressed not by an ontological analysis of social reality but rather through legal or political means.     

The Law and Economics of Marriage Contracts

Growth in property ownership has raised the stakes in the distribution of financial assets on divorce. Given high risks of marital failure, this has stimulated the demand for private ordering through enforceable marriage contracts. This paper surveys the existing law and economics literature and legal practice to consider the state of knowledge on the economic theory, scope and limits of written nuptial agreements.     

Economic Development Indicators as Determinants of Medal Winning at the Sydney Olympics: An Extreme Bounds Analysis

This paper examines the variables that determine the performance of countries at the Olympic Games as measured by a weighted sum of the medals won at the Sydney 2000 Games. While previous studies have identified the importance of a country's economic size and the resources available to sport, this paper examines nine more variables including the number of athletes representing each nation and some development indicators. Based on 2310 regressions, both traditional and restricted extreme bounds analysis show that only two variables are robust: the number of athletes and national expenditure on health. Thus, the final model recognises four explanatory variables that include these two as well as GDP and population.