TO DETER OR TO MODERATE? ALLIANCE FORMATION IN CONTESTS WITH INCOMPLETE INFORMATION

We consider two players' choice about the formation of an alliance ahead of conflict in a framework with incomplete information about the strength of the potential ally. When deciding on alliance formation, players anticipate the self‐selection of other players and the informational value of own and other players' choices. In the absence of these signaling effects, strong players have an incentive to stand alone, which leads to a separating equilibrium. This separating equilibrium can be destabilized by deception incentives if beliefs are updated on the basis of endogenous alliance formation choices. Weak players may find it attractive to appear strong in order to deter competitors from positive effort choices. Strong players may find it attractive to appear weak in order to give their competitors a false sense of security and then beat them with little effort. Moreover, appearing weak allows players to free‐ride when alliances are formed. (JEL D72, D74)     

The Effects of Gender Role Congruence and Statistical Discrimination on Managerial Advancement

This paper makes the argument that themanagerial advancement process is different for womenand men. Men in management who choose to participatemore fully in family labor experience gender rolecongruence pressures and are penalized in the workplace.Women in management experience statisticaldiscrimination, meaning that they are viewed withsuspicion and that their commitment and competence isover-tested. Findings from data collected in two large firmssupported the gender role congruence and statisticaldiscrimination perspectives. Specifically, effortexpended on paid work was more strongly positively associated with advancement for men than forwomen. Participating in household labor hurt men sadvancement more than it did women s. Demonstratingcompetence in a series of internal organizationalexperiences was more strongly associated with advancementfor women than for men. Implications for theory,management, and future research are discussed.     

Archimedean copulas with applications to $${{\mathrm{}}}$$ estimation

Assuming absolute continuity of marginals, we give the distribution for sums of dependent random variables from some class of Archimedean copulas and the marginal distribution functions of all order statistics. We use conditional independence structure of random variables from this class of Archimedean copulas and Laplace transform. Additionally, we present an application of our results to \({{\mathrm{VaR}}}\) estimation for sums of data from Archimedean copulas.     

Simultaneous inference for functional data in sports biomechanics

AStA Advances in Statistical Analysis - The recent sports science literature conveys a growing interest in robust statistical methods to analyze smooth, regularly-sampled functional data. This...     

Relational learning and interprofessional practice: transforming health education for the 21st century

Theories and traditions emphasizing the centrality of caring have guided the evolution of the healthcare professions. In contemporary practice, creating a therapeutic context in which healing can occur relies not just on the caring dispositions of individual clinicians, but also on the collective relational capacities of interprofessional healthcare teams. This article describes the intersection and complementarity of relational and interprofessional learning approaches to health education, provides exemplars of shared learning models and discusses the benefits and obstacles to integrating relational and interprofessional philosophies into real world practice.