The regulation of science-based claims in advertising

This paper analyzes the effects of scientific information dissemination on consumer and producer behavior. The first section draws heavily from evidence on the ready-to-eat cereal market during a period in which information developed about the health benefits of fiber cereal consumption. Although producers were initially prohibited from advertising these benefits, the regulatory ban against advertising was lifted during the period we study. Our results indicate that advertising was an important source of information leading to increased fiber cereal consumption and product innovation. The second part of our paper discusses the potential for deception if science-based claims are allowed. In the final section we consider a number of regulatory proposals that have been raised in the context of health claims for food products. We evaluate these proposals against the three goals of encouraging the dissemination of truthful information and discouraging the dissemination of deceptive or misleading information and their ability to keep pace with the changing science.     

Northern Ireland: the politics of leisure in a divided society

The public provision of leisure services and the impact which this has on the community has become a political issue. Nowhere is this more the case than in Northern Ireland where economic and social problems, together with the Troubles, led to a massive increase in central government's sponsorship of public leisure provision in the 1970s. This was a political gesture made more political in the manner through which district councils and local government officials discharged their devolved responsibilities and the way in which local communities appropriated leisure facilities. The resultant pattern of leisure provision reflects existing community boundaries and, as such, reinforces rather than ameliorates sectarian divisions.     

Modeling Clustered Ordered Categorical Data: A Survey

This article surveys various strategies for modeling ordered categorical (ordinal) response variables when the data have some type of clustering, extending a similar survey for binary data by Pendergast, Gange, Newton, Lindstrom, Palta & Fisher (1996). An important special case is when repeated measurement occurs at various occasions for each subject, such as in longitudinal studies. A much greater variety of models and fitting methods are available than when a similar survey for repeated ordinal response data was prepared a decade ago (Agresti, 1989). The primary emphasis of the review is on two classes of models, marginal models for which effects are averaged over all clusters at particular levels of predictors, and cluster-specific models for which effects apply at the cluster level. We present the two types of models in the ordinal context, review the literature for each, and discuss connections between them. Then, we summarize some alternative modeling approaches and ways of estimating parameters, including a Bayesian approach. We also discuss applications and areas likely to be popular for future research, such as ways of handling missing data and ways of modeling agreement and evaluating the accuracy of diagnostic tests. Finally, we review the current availability of software for using the methods discussed in this article.     

Rich and Poor Countries in Neoclassical Trade and Growth

A neoclassical growth model provides an explanation for a 'poverty trap', 'club convergence', or 'twin peaks', in terms of specialisation and international trade. The model has many countries with identical linearly homogeneous technologies for producing three goods using capital and labour. With diverse initial endowments, initial equilibrium has unequal factor prices and two diversification cones. With savings out of wages, following Galor (1996), there may easily be multiple steady states. Poor countries converge to a low steady state while rich countries converge to a high one, even though all share identical technological and behavioural parameters.     

Accounting for Foucault

Michel Foucault's concept of governmentality has been central to critical accounting research for two decades, a centrality that has placed systems of calculation as the starting point of discussions of the state, the firm and the market. We begin by outlining the development of governmentality in Foucault's own work. Despite the rich, productive nature of the concept, Foucault was careful to define governmentality as broadly and loosely as possible, the better to convey its open-endedness. The second section considers the introduction of Foucault to accounting research. The combination of Foucault and accounting history is not at all obvious, but became possible because a series of important contextual studies demonstrated that accounting history had to consider both the historicity of the profession and that its practices were vital in constructing measures of organisational performance, not simply uncovering previously obscure or hidden social realities. Moreover, accounting history studies the production of targets and measures of progress towards utility and welfare, processes that are not reducible to the firm or even to economic calculation. Our third section outlines the genesis of the ‘London School of governmentality’ and the main strands of their theoretical contribution. Finally, we examine the governmentalists’ analysis of corporate restructuring and the introduction of new production organisation by Caterpillar. Our aim is to use the Caterpillar case as the vehicle for a broader consideration of governmentality, strategy and the enterprise.