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Dietary advice is given with the aim of improving health, either on a national scale, or at an individual level. The NACNE and COMA Reports have recommended changes in the British diet, and recent change has also occurred in dietary advice and treatment for conditions such as diabetes and bowel disease. However it is important to know how the general public, without nutritional training, view the health qualities of foods, and what influences these views, particularly as people assess food generally in non‐nutritional terms. Without this knowledge effective nutritional education cannot be undertaken.

This chapter assesses how gender and disability status intersect to shape employment and earnings outcomes for working-age adults in the United States.

The research pools five years of data from the 2010–2015 Current Population Survey to compare employment and earnings outcomes for men and women with different types of physical and cognitive disabilities to those who specifically report work-limiting disabilities.

The findings show that people with different types of limitations, including those not specific to work, experienced large disparities in employment and earnings and these outcomes also varied for men and women. The multiplicative effects of gender and disability on labor market outcomes led to a hierarchy of disadvantage where women with cognitive or multiple disabilities experienced the lowest employment rates and earnings levels. However, within groups, disability presented the strongest negative effects for men, which created a smaller gender wage gap among people with disabilities.

This chapter provides quantitative evidence for the multiplicative effects of gender and disability status on employment and earnings. It further extends an intersectional framework by highlighting the gendered aspects of the ways in which different disabilities shape labor market inequalities. Considering multiple intersecting statuses demonstrates how the interaction between disability type and gender produce distinct labor market outcomes.

The purpose of this paper is to gauge the impact of the following on the share price of a firm that has allegedly committed labor abuses: the allegation itself, explanations (justifications and excuses) offered by the company spokesperson, and denials of responsibility for the alleged abuse.

The study uses archival data and an event study methodology.

Labor abuse allegations have a negative impact on the firm’s share price. Allegations that are accompanied by an explanation (a justification or excuse) have a less negative impact than those that are not accompanied by an explanation. Denials of responsibility have a negative influence on the share price.

If managers want to avoid a negative hit on the share price from an allegation of wrongdoing, they should provide an explanation (a justification or excuse) and avoid the use of denials.

Prior research has shown a negative impact from several types of labor abuse. This study extends prior research by showing a negative impact for all forms of labor abuse as a general category; it also extends findings from lab research on the impact of explanations on fairness judgments to a new context and a new dependent variable (the financial performance of the firm), which is on an organizational scale. It adds to the extreme paucity of empirical findings relative to the impact of denials and also adds to a small but growing literature on fairness judgments by third parties and their consequences.

This study aims to examine the behaviour of institutional and retail investors in response to news about industry leaders (peer firms) and to determine its impact on the stock prices of other firms (focal firms) within the same industry.

The study investigates the impact of peer news on investor behaviour of Chinese A-shares listed on the Shanghai and Shenzhen Stock Exchanges from 2010 to 2019. The media coverage of industry leaders is sourced from prominent Chinese online financial outlets and the Chinese Financial Press. Support vector machine is applied to identify the positive, neutral and negative news within the articles. The study uses event study and logistic regression to examine the effects of peer news on focal firms’ investor behaviour.

The results show that both good and bad news about leaders cause peers’ stock prices to increase initially, but then reverse within one quarter. Further analysis reveals that when leaders’ shares receive positive news coverage, institutional investors tend to exert excessive abnormal buying pressure on peers’ shares, resulting in overreactions. Conversely, retail investors do not actively trade on peers on leaders’ news day due to limited attention. In addition, the study shows that short-selling constraint inhibits bad news from reflecting in the stock prices.

The study highlights differences in investor behaviour. The finding that institutional investors tend to overreact more to peer firms’ news when focal firms are smaller and have a lower frequency of information disclosure supports the salient theory. This is consistent with the previous framework that suggests overreaction is more pronounced when it is difficult to combine external sources of information to evaluate the focal firms. In contrast, retail investors do not engage in active trading on peers on leaders’ news day due to the limited attention theory.

The paper aims to investigate differences in non-professional and professional stock investors’ trust in and tendency to follow financial analysts’ buy and sell recommendations.

Online experiment conducted in Sweden in March 2022 comparing non-professional private investors (n = 80), professional investors (n = 33), and master students in finance (n = 28). Information was presented about four company stocks listed on the New York stock exchange. Two stocks were buy-recommended and two stocks sell-recommended by financial analysts. For one stock of each type, the recommendation was presented to participants. Dependent variables were predictions of the stock price after three months, ratings of confidence in the predictions and choices of holding, buying or selling the stock. Ratings were also made of the importance of presented stock-related information as well as trust in analysts’ skill and integrity.

More positive return predictions were made of buy-recommended than sell-recommended stocks. Non-professionals and to some degree finance students tended to trust financial analysts more than professional investors did and they were more influenced by the presentation of the buy recommendations. All groups made too optimistic return predictions, but the professionals were less confident in their predictions, more likely to sell the stocks and lost less on their investments.

A new finding is that non-professional stock investors are more likely than professional stock investors to trust financial analysts and follow their recommendations. It suggests that financial analysts’ recommendations influence non-professional investors to take unmotivated investment risks. Non-professionals in the stock market should hence be advised to exercise more caution in following analysts’ recommendations.

Portfolio credit derivatives, such as basket credit default swaps (basket CDS), require for their pricing an estimation of the dependence structure of defaults, which is known to exhibit tail dependence as reflected in observed default contagion. A popular model with this property is the (Student's) t-copula; unfortunately there is no fast method to calibrate the degree of freedom parameter.

In this paper, within the framework of Schönbucher's copula-based trigger-variable model for basket CDS pricing, we propose instead to calibrate the full multivariate t distribution. We describe a version of the expectation-maximization algorithm that provides very fast calibration speeds compared to the current copula-based alternatives.

The algorithm generalizes easily to the more flexible skewed t distributions. To our knowledge, we are the first to use the skewed t distribution in this context.

This paper aims to document a novel course titled Harm Reduction Design Studio. The course introduced the harm reduction problem space to design students for designing objects, social worlds, infrastructures and ecologies that shape human and nonhuman social interactions within them.

Extending tenets drawn from social movements for harm reduction from the focus on drugs and habits begins the reparative work of undoing past harms, living well in the present and reducing future harms. This course introduces history, theory and practice of harm reduction in relation to health, well-being, social connection and safety.

The course was piloted from August to December 2024 in the Department of Science and Technology Studies at Rensselaer Polytechnic Institute in Troy, New York, USA.

Society-wide implications for mainstreaming harm reduction are far-reaching. For instance, the U.S. National Science Foundation has recently called for ways to “incorporate ethical, social, safety, and security considerations” into research design to mitigate potential harms of scientific research and amplify societal benefits. This course prepares students to think upfront about incorporating harm reduction into the design of technological artifacts.

This course presents a replicable model for bringing harm reduction and design pedagogy together in the shared spirit of encouraging the readership of Drugs, Habits and Social Policy to widen participation in design practice.

The purpose of this study is to examine the influence of an urban folktale on the purchasing intentions and buying behaviour of the consumer. Specifically, it examines a rumour involving fashion designer Tommy Hilfiger, in which he purportedly made disparaging statements about African‐Americans. A survey of African‐American generation Xers revealed a relationship between the rumour and the decision to purchase Tommy Hilfiger clothing. Implications of the findings are discussed.