Estimating the distribution function using k-tuple ranked set samples

The basic assumption underlying the concept of ranked set sampling is that actual measurement of units is expensive, whereas ranking is cheap. This may not be true in reality in certain cases where ranking may be moderately expensive. In such situations, based on total cost considerations, k-tuple ranked set sampling is known to be a viable alternative, where one selects k units (instead of one) from each ranked set. In this article, we consider estimation of the distribution function based on k-tuple ranked set samples when the cost of selecting and ranking units is not ignorable. We investigate estimation both in the balanced and unbalanced data case. Properties of the estimation procedure in the presence of ranking error are also investigated. Results of simulation studies as well as an application to a real data set are presented to illustrate some of the theoretical findings.     

Global Innovation Networks – Organizations and People

Innovation is increasingly the outcome of global networks that connect geographically dispersed knowledge centers. The international business (IB) literature has developed a sophisticated understanding of the multinational enterprise (MNE) as an organization generates value by integrating knowledge across national borders. We advance this literature by making three key arguments. First we highlight the three megatrends that shape the strategy of the modern MNE: the disaggregation of the value chain into ever narrower activities, the migration of value to knowledge-intensive intangibles and the rise of huge emerging markets like China and India, whose domestic firms can grow to enormous size before venturing abroad. Second, we trace these three megatrends to falling spatial transaction costs, enabled in the main, by digitalization. Third, we draw on earlier research on the generic forms of global linkages, arguing that the IB literature has limited itself to organizational pipelines, while paying relatively little attention to personal relationships. The latter are particularly important in the genesis of both entrepreneurship and radical innovation, but are particularly sensitive to the anti-globalization policies. An environment where technology continues to reduce spatial transaction costs, while policy raises them, strengthens large MNEs at the expense of innovative international new ventures.     

An Examination of the Effect of Continuous Quality Improvements on Optimal Pricing for Durable Goods*

This paper investigates the nature of optimal prices for a durable good in the presence of continuous quality improvements. The analysis of optimal prices is based on a nonlinear dynamic model of sales response that relates price, quality, average life of a product and the persistence of quality perceptions. Numerical solutions to the model are derived by employing the generalized reduced gradient algorithm. The results show that optimal price depends on the persistence of quality perceptions and the average life of a product (an aspect of quality). The analysis of optimal results affirms results based on other models and provides insights on the influence that quality has on optimal pricing. The implications of the results and suggestions for future research are discussed.     

Diaspora as aesthetic formation: community sports events and the making of a Somali diaspora

This paper uses the concept of aesthetic formation to examine the practices through which diasporic imaginations become tangible and experienced as ‘real’. The authors interpret sport as an embodied aesthetic practice through which diasporas materialise, with important implications for identification and belonging. Drawing on ethnographic fieldwork on a transnational community-based sports event, the Amsterdam Futsal Tournament, the paper discusses how articulations of Somali diasporism become tangible and embodied in subjects who participate in this event. The authors conclude that these materialisation practices can simultaneously elicit multiple forms and levels of belonging that also foster a sense of integration and belonging to the nation.     

Value-added distribution to stakeholder of Spanish listed companies: a corporate governance perspective

Journal of Management and Governance - Following a stakeholder corporate governance perspective, we examine whether the characteristics of boards of directors (board size, separation of Chairman...     

Statistical modeling for Bayesian extrapolation of adult clinical trial information in pediatric drug evaluation

Children represent a large underserved population of “therapeutic orphans,” as an estimated 80% of children are treated off‐label. However, pediatric drug development often faces substantial challenges, including economic, logistical, technical, and ethical barriers, among others. Among many efforts trying to remove these barriers, increased recent attention has been paid to extrapolation; that is, the leveraging of available data from adults or older age groups to draw conclusions for the pediatric population. The Bayesian statistical paradigm is natural in this setting, as it permits the combining (or “borrowing”) of information across disparate sources, such as the adult and pediatric data. In this paper, authored by the pediatric subteam of the Drug Information Association Bayesian Scientific Working Group and Adaptive Design Working Group, we develop, illustrate, and provide suggestions on Bayesian statistical methods that could be used to design improved pediatric development programs that use all available information in the most efficient manner. A variety of relevant Bayesian approaches are described, several of which are illustrated through 2 case studies: extrapolating adult efficacy data to expand the labeling for Remicade to include pediatric ulcerative colitis and extrapolating adult exposure‐response information for antiepileptic drugs to pediatrics.     

‘Are you gonna show this to white people?’: Chicana/o and Latina/o students’ counter-narratives on race,place, and representation

This article explores the recurring narratives on race, place and representation that emerged in the talk of Chicana/o and Latina/o sixth-graders at a middle school in East Los Angeles, California. Discourse analytic methods are used to closely examine how these narratives were constructed within the contexts of everyday classroom interactions. Drawing on the notion of counter-storytelling from critical race theory, the article highlights how these sixth-grade students articulated counter-narratives about who they were and what their community was like – often in direct opposition to what they perceived as white people’s stereotypical assumptions and misperceptions. It is argued that these narratives constitute a powerful and sophisticated critique of dominant narratives that frame working-class Chicana/o and Latina/o students in racist and pejorative terms. The article ends with a discussion of implications for understanding youth agency and the politics of representation.     

Fundamental accrued capital gains and the measurement of top incomes: an application to Chile

Most previous studies of income inequality have either ignored capital gains or have used taxable realized capital gains to estimate top incomes. Neither of these approaches is fully satisfactory. We apply for the first time a new methodology that allows us to account for fundamental accrued capital gains as part of the top incomes in a theoretically consistent manner. We estimate the shares of the super-rich in Chile showing that accrued capital gains have a large impact on these estimates. Also, the top income shares estimated using fundamental capital gains appear to exhibit a more stable and presumably more plausible time profile than estimates based on capital gains derived from asset market variations.