Portrayals of Minorities and Women in Super Bowl Advertising

Portrayals of women and minorities advertising have long been of interest to advertising scholars. While research has found that the overall representation of these groups has increased, some stereotypes persist, and so do questions about the quality and prominence of portrayals. This study examines portrayals of minorities and women in Super Bowl advertising, the main “pop culture” showcase for US advertising. A content analysis of 10 years of Super Bowl ads is conducted and a multinomial logit regression model is employed to delve deeper into the content analysis results. Findings show that while the overall representation of women and various minority groups is strong, a deeper analysis shows that these groups are seldom depicted as primary characters by themselves and that some subtle stereotypes persist. We also find that ads featuring female principal characters are more likely to feature home settings, sexual appeals, emotional messages, and music as a major element and that it is less likely for female (vs. male) celebrities to be used. Minority principal characters are more likely to be celebrities and be included in ads with music or for technical products but are less likely to be included in ads featuring corporate social responsibility messages.     

Small Area Estimation for Disease Prevalence Mapping

Small area estimation (SAE) entails estimating characteristics of interest for domains, often geographical areas, in which there may be few or no samples available. SAE has a long history and a wide variety of methods have been suggested, from a bewildering range of philosophical standpoints. We describe design-based and model-based approaches and models that are specified at the area level and at the unit level, focusing on health applications and fully Bayesian spatial models. The use of auxiliary information is a key ingredient for successful inference when response data are sparse, and we discuss a number of approaches that allow the inclusion of covariate data. SAE for HIV prevalence, using data collected from a Demographic Health Survey in Malawi in 2015–2016, is used to illustrate a number of techniques. The potential use of SAE techniques for outcomes related to coronavirus disease 2019 is discussed.     

Market Risk Disclosures and Investment Efficiency: International Evidence from the Gulf Cooperation Council Financial Firms

This study examines the association between market risk disclosures (MRDs) and the investment efficiency of financial firms from six emerging markets in the Gulf Cooperation Council (GCC) region. Based on a sample of 553 firm‐year observations over the 2007–2011 period, we find that MRDs are significantly and negatively associated with both under‐investment and over‐investment and that this association is more pronounced for larger firms. We also find that the association between MRDs and under‐investment is moderated during periods of economic distress such as the Global Financial Crisis of 2008 and that the association between MRDs and over‐investment is magnified during periods of reduced financial distress. Our results are consistent with the idea that MRDs reduce information asymmetry, which ultimately improves investment efficiency. We contribute to the literature in an emerging market context by providing empirical evidence on the association between MRDs and investment efficiency across six emerging GCC capital markets. This study also fills a gap in the literature by providing evidence on the factors affecting the investment efficiency of financial firms.     

A Simple Model of Insurance Market Dynamics

Abstract

This paper constructs and studies a simple but realistic model of an insurance market. The model has a minimalist construction in the sense that the number of parameters defining it is strictly limited and the elimination of any one of them would destroy its realism. There are 11 essential parameters. Each of the parameters has a physical interpretation. Some determine competitive effects within the market, some barriers to entry, and so on. The effect of each on various aspects of the market is examined in the presence of simulated loss experience. The aspects of the market considered include stability of premium rates, profitability, and market concentration. Some of the parameters are capable of use as regulatory controls. Two parameters, in addition to the original 11, are explicit price controls. Despite its simplicity, the model displays considerably complex behavior. Some results are intuitive, but some are not. For this reason, regulatory controls need to be applied with great caution lest they induce perverse effects, possibly even the reverse of those intended. The effect of the parameters on market behavior is first studied in the absence of catastrophic events from the loss experience. Subsequently, the effect of a single such event is studied.     

A number‐of‐modes reference rule for density estimation under multimodality

We consider kernel density estimation for univariate distributions. The question of interest is as follows: given that the data analyst has some background knowledge on the modality of the data (for instance, ‘data of this type are usually bimodal’), what is the adequate bandwidth to choose? We answer this question by extending Silverman's idea of ‘normal‐reference’ to that of ‘reference to a Gaussian mixture’. The concept is illustrated in the light of real data examples.     

Leading to Learn

“You don't see to draw, you draw to see.” And then Fred said, “It's just the same for leadership, you don't learn to lead, you lead to learn.” The arts can teach us to stay with our senses and not know and in that way to provide a balance to the dominance of the analytic approaches to our organizational worlds. There is an old saying that you can only manage what you can measure. The arts can help us to work with what we cannot measure and the way to do that is by leading to learn. The current article explores the qualitatively different way in which the arts teach us to apprehend the world and how that is central to leadership.     

An Empirical Analysis of Triple Bottom-Line Reporting and its Determinants: Evidence from the United States and Japan

This paper investigates triple bottom‐line (TBL) disclosures of 50 of the largest US and Japanese companies. Twenty disclosure criteria were developed for each of the TBL disclosure areas: economic, social, and environmental. Disclosure information was examined in annual reports, stand‐alone reports, and special website reports. Regression analysis was used to examine empirically the determinants of TBL disclosure practice. Our results indicate that, for total TBL disclosure (combining economic, social, and environmental categories), the extent of reporting is higher for firms with larger size, lower profitability, lower liquidity, and for firms with membership in the manufacturing industry. Further analysis indicates that the results for the total TBL disclosure are primarily driven by non‐economic disclosures. We also find that the extent of overall TBL reporting is higher for Japanese firms, with environmental disclosure being the key driver. This result could be attributed to the differences in national cultures, the regulatory environment, and other institutional factors between the United States and Japan.     

Estimated non-linearities and multiple equilibria in a model of distributive-demand cycles

We introduce the results of a non-parametric estimate of the US wage-Phillips Curve into a simplified version of the model of the wage-price spiral by Flaschel and Krolzig (2008). Making use of Okun’s law, the non-linearity in the wage inflation-employment relation translates into a non-linearity in the so-called ‘distributive curve’ of the economy. Exploiting the observed non-linearity in extending an otherwise standard demand-distribution model (Taylor 2004 Taylor, Lance. 2004. Reconstructing macroeconomics. structuralist proposals and critique of the mainstream, Cambridge, MA: Harvard University Press.  [Google Scholar]), we provide a dynamical analysis both in wage-led and profit-led effective demand regimes. In a profit-led scenario, shown to be the empirically relevant case for the US economy, there are two stable equilibria of Goodwin (1967 Goodwin, R.M. 1967. “A growth cycle”. In Socialism, capitalism and economic growth, Edited by: Feinstein, C.H. Cambridge, , UK: Cambridge University Press.  [Google Scholar]) growth cycle type, identified as a stable depression and a stable boom, and a saddle-path stable equilibrium in between them. Both stable steady states are surrounded by trajectories that cycle counterclockwise around their basins of attraction. The obtained type of growth fluctuations can be verified by a long phase cycle estimation for the US economy using a method developed by Kauermann, Teuber and Flaschel (2008 Kauermann, G., Teuber, T. and Flaschel, P. 2008. “Estimating loops and cycles using penalized splines”. Bielefeld: CEM working paper.  [Google Scholar]).