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Postneonatal mortality (PNM), which differs from infant and perinatal mortality, has been observed in the past 25 years with respect to the health outcomes of children. While infant and perinatal mortality have been well-evaluated regarding racial differentials, there are no substantial data on PNM in this perspective. The purpose of this study was to assess whether or not social determinants of health adversely affect racial/ethnic PNM differentials in the USA.

A cross-sectional, nonexperimental epidemiologic study design was used to assess race as an exposure function of PNM using Cohort Linked Birth/Infant Death Data (2013). The outcome variable assessed PNM, while the main independent variables were race, social demographic variables (i.e. sex and age) and social determinants of health (i.e. marital status and maternal education). The chi-square statistic was used to assess the independence of variables by race, while the logistic regression model was used to assess the odds of PNM by race and other confounding variables.

During 2013, there were 4,451 children with PNM experience. The cumulative incidence of PNM was 23.6% (n = 2,795) among white infants, 24.3% (n = 1,298) among Black/African-Americans (AA) and 39.5% (n = 88) were American-Indian infants (AI), while 21.3% (n = 270) were multiracial, χ² (3) = 35.7, p < 0.001. Racial differentials in PNM were observed. Relative to White infants, PNM was two times as likely among AI, odds ratio (OR) 2.11 (95% confidence interval [CI] 1.61, 2.78). After controlling for the confounding variables, the burden of PNM persisted among AI, although slightly marginalized, adjusted odds ratio (aOR) 1.70, (99% CI 1.10, 2.65).

In a representative sample of US children, there were racial disparities in PNM infants who are AI compared to their white counterparts, illustrating excess mortality. These findings suggest the need to allocate social and health resources in transforming health equity in this direction.

The study aims at reviewing a synthesis of disclosure, transparency, and International Financial Reporting Standards (IFRS) implementation in an attempt to provide directions for future research. Prior research overwhelmingly supports that the IFRS adoption or effective implementation of IFRS will enhance high-quality financial reporting, transparency, enhance the country’s investment environment, and foreign direct investment (FDI) (Dayanandan, Donker, Ivanof, & Karahan, 2016; Gláserová, 2013; Muniandy & Ali, 2012). However, some researchers provide conflicting evidence that developing countries implementing IFRS are probably not going to encounter higher FDI inflows (Gheorghe, 2009; Lasmin, 2012). It has also been argued that the IFRS adoption decreases the management earnings in countries with high levels of financial disclosure. In general, the study indicates that the adoption of IFRS has improved the financial reporting quality. The common law countries have strong rules to protect investors, strict legal enforcement, and high levels of transparency of financial information. From the extensive structured review of literature using the Scopus database tool, the study reviewed 105 articles, and in particular, the topic-related 94 articles were analysed. All 94 articles were retrieved from a range of 59 journals. Most of the articles (77 of 94) were published 2010–2018. The top five journals based on the citations are Journal of Accounting Research (187 citations), Abacus (125 citations), European Accounting Review (107 citations), Journal of Accounting and Economics (78 citations), and Accounting and Business Research (66 citations). The most-cited authors are Daske, Hail, Leuz, and Verdi (2013); Daske and Gebhardt (2006); and Brüggemann, Hitz, and Sellhorn (2013). Surprisingly, 65 of 94 articles did not utilise the theory. In particular, four theories have been used frequently: agency theory (15), economic theory (5), signalling theory (2), and accounting theory (2). The study calls for future research on the theoretical implications and policy-related research on disclosure and transparency which may inform the local and international standard setters.

Using a prosopographical methodology this study examines common leadership influences that might have existed among Genghis Khan, George Washington, and Nelson Mandela. Shoup (2005) suggests that the following seven influences have contributed to nurturing the leadership of 12 renowned individuals: involved parents, happy childhood, formal, informal education, prodigious patrons, critics and adversaries, apprenticeship/sequences of success, and favorable fate. This analysis suggests that the seven influences in his model had an affect the lives of the three individuals in this study, making them competent or exemplary leaders. The study additionally proposes three application stages that educators can utilize to instill leadership values and abilities in young minds.

The purpose of this paper is to evaluate the predictive capacity of market risk estimation models in times of financial crises.

For this, value-at-risk (VaR) valuation models applied to the daily returns of portfolios composed of stock indexes of developed and emerging countries were tested. The Historical Simulation VaR model, multivariate ARCH models (BEKK, VECH and constant conditional correlation), artificial neural networks and copula functions were tested. The data sample refers to the periods of two international financial crises, the Asian Crisis of 1997, and the US Sub Prime Crisis of 2008.

The results pointed out that the multivariate ARCH models (VECH and BEKK) and Copula-Clayton had similar performance, with good adjustments in 100 percent of the tests. It was not possible to perceive significant differences between the adjustments for developed and emerging countries and of the crisis and normal periods, which was different to what was expected.

Previous studies focus on the estimation of VaR by a group of models. One of the contributions of this paper is to use several forms of estimation.

There is a growing perception that higher education increasingly follows what Cary Nelson calls the business or “Industry .. handbook of relevant strategies and techniques” of employee management, seen by many in the demise of tenure and the increase in part‐time hiring. As an academic/corporate convergence this trend, however, extends beyond higher education’s use of corporate employee management strategies. As higher education becomes a profitable venture, following business’s “handbook” becomes symptomatic of a profound blurring between corporate and academic entities that beckons a reassessment of higher education’s overall direction in light of its relationship with the corporate world. As we’ll see in the demise of tenure and the growth of the part time position, academia is increasingly following the corporate or “industry ... handbook of relevant strategies and techniques” of employee management (Nelson, 1997b). The presence of a corporate paradigm in academia is, however, not limited to employee management practices. As higher education becomes profitable through the use of new technologies, following the corporate “handbook” becomes symptomatic of a far more significant blurring between corporate and academic entities that, because of the drastic and fundamental changes it poses for academia, warrants that academia both reconsiders its internal structure and its overall degree of separation from the corporate arena.

This paper explores organizational restructuring in corporate law firms. We review recent changes in law firms’ business models and structures, specifically as they relate to the externalization of work – or the unbundling of work and its placement with outside entities, which redefines the division of labor and the nature of the employment relationship. We draw from the extensive scholarship on the legal profession to raise empirical and theoretical implications of market-driven change to the careers of lawyers as well as the shifting patterns of stratification within corporate firms and the profession at large.

We compare methods to measure comovement in business cycle data using multi-level dynamic factor models. To do so, we employ a Monte Carlo procedure to evaluate model performance for different specifications of factor models across three different estimation procedures. We consider three general factor model specifications used in applied work. The first is a single-factor model, the second a two-level factor model, and the third a three-level factor model. Our estimation procedures are the Bayesian approach of Otrok and Whiteman (1998), the Bayesian state-space approach of Kim and Nelson (1998) and a frequentist principal components approach. The latter serves as a benchmark to measure any potential gains from the more computationally intensive Bayesian procedures. We then apply the three methods to a novel new dataset on house prices in advanced and emerging markets from Cesa-Bianchi, Cespedes, and Rebucci (2015) and interpret the empirical results in light of the Monte Carlo results.

Today, appearance is an integral aspect of a politician's image and personality and therefore his or her brand (Budesheim & DePaola, 1994; Sanghvi & Hodges, 2015; Smith & French, 2009). While appearance is critical to political marketing, most of the research focusing on appearance in politics is experimental in nature (Lenz & Lawson, 2011; Olivola & Todorov, 2010; Todorov et al., 2005). This study investigates the importance of appearance for marketing politicians through a qualitative interpretivist framework that offers implications for theory. Moreover, this chapter offers a specific focus on the importance of appearance for female politicians.

Research shows women face greater scrutiny on their appearance (Carlin & Winfrey, 2009; Sanghvi, 2018). This chapter examines myriad of issues women in politics face based on their appearance. It also examines how women have successfully managed the issue of appearance at local, state and national levels. Thus, this study delivers a multifaceted view of the topic and facilitates the understanding of how appearance management enters into the political marketing process.