Women in Upper Echelons of Management,Tenure and Legal Risk

Integrating risk, gender diversity and upper echelons literatures, we examine whether the presence of women in upper management (top management team (TMT) and board of directors (BOD)) and the tenure of TMTs and BODs are associated with the risk of lawsuits. An analysis of data from firms in the US retail industry shows that the presence of women in TMTs and BODs and the tenure of TMTs and BODs are negatively associated with legal risk, but longer tenured BODs with more women had a positive impact on lawsuits. Implications and suggestions for future research are offered.     

Globalization and Its Countermovement: Marxian Contention or Polanyian Resistance?

This article surveys the scholarship on the countermovement against the diffusion of capitalism and market economy in the Global South. We identify two streams of analysis in the literature. On the one hand, scholars observe contentious politics instances where the spread of capitalist production relations enables the associational capacity and bargaining power of social classes. On the other hand, there are voluminous studies on contentious politics in the Global South where groups such as peasants, shopkeepers, and urban poor resist the intensification of the market economy. We use Beverly Silver's distinction between Marx‐type and Polanyi‐type protests, which focuses on how globalization makes and unmakes social groups, to unpack the heterogeneity of the impacts and experiences of globalization. We argue that although Silver's distinction is of great analytical value, there are strong warrants for separating the effects of the market economy from capitalism in studying contentious politics against globalization. Such an analytical strategy (i) expands the scope of the distinction between Marxian and Polanyian contention to social groups other than the working class and (ii) emphasizes that the roots of these struggles lie in the interconnected diffusion of capitalism and market economy.     

A New Quantile Function with Applications to Reliability Analysis

In this article, we propose a new class of distributions defined by a quantile function, which nests several distributions as its members. The quantile function proposed here is the sum of the quantile functions of the generalized Pareto and Weibull distributions. Various distributional properties and reliability characteristics of the class are discussed. The estimation of the parameters of the model using L-moments is studied. Finally, we apply the model to a real life dataset.     

Estimation of period-specific gross migration flows from limited data: Bi-proportional adjustment approach

Two models, hierarchical in terms of input data requirements, are proposed to estimate place-to-place gross migration flows during a specified time period. In the first, the input data required are lifetime migration flows and the marginal totals of period migration, usually available from national censuses. The estimational algorithm is a ‘bi-proportional adjustment’ technique (and its variant) that assumes structural similarity between lifetime and period migration flows. The second model is designed to account for possible structural deviations in recent migratory patterns. Calibration of the procedure to replicate Indian and Korean data confirms high validity of estimation.     

First passage game

Appealing to the theory of stochastic games, a two-person, zero-sum first passage game, which may be viewed as a generalization of the first passage decision problem, is developed. In the first passage game, the players have stationary optional strategies and the values are unique and these can be computed using an algorithm for terminating stochastic games. It is also shown that the solution of a recurrence game is closely related to that of the first passage game. Finally, it is shown that a finite step stochastic game with nonstationary transition probabilities and payoffs can be converted to a first passage game whose solution yields a solution of the original finite step game. The first passage game so obtained has stationary transition probabilities and payoffs. Because of its special structure, the solution method reduces to a dynamic programming recursion in the context of games.     

A Content Analysis of Intake Paperwork: An Exploration of How Clinicians Ask About Gender,Sex, and Sexual/Affectual Orientation

In the United States, the transgender and gender nonconforming (TGNC) population has increased twofold since 2011. Although counseling professionals are called to provide competent services to TGNC clients, no empirical studies exist that examine one of the first points of contact: Intake paperwork. The authors conducted a content analysis (N = 128) of intake paperwork and assessed how and if clinicians asked for gender, sex, and sexual/affectual orientation, and whether they conflated these constructs. Findings indicate adjustments need to be made for intakes to be more inclusive of these constructs. The authors offer clinical implications and avenues for future research.     

Estimation of the Renyi’s residual entropy of order \alpha with dependent data

In the present paper, we propose nonparametric estimators for the Renyi’s information measure for the residual lifetime distribution based on complete and censored data. This measure plays important roles in reliability and survival analysis in connection with modeling and analysis of life time data. Asymptotic properties of the estimators are established under suitable regularity conditions. Monte-Carlo simulation studies are carried out to compare the performance of the estimators using the mean-squared error. The methods are illustrated using real data sets.     

The generalized exponential cure rate model with covariates

In this article, we consider a parametric survival model that is appropriate when the population of interest contains long-term survivors or immunes. The model referred to as the cure rate model was introduced by Boag 1 Boag, J. W. 1949. Maximum likelihood estimates of the proportion of patients cured by cancer therapy. J. R. Stat. Soc. Ser. B, 11: 15–53.  [Google Scholar] in terms of a mixture model that included a component representing the proportion of immunes and a distribution representing the life times of the susceptible population. We propose a cure rate model based on the generalized exponential distribution that incorporates the effects of risk factors or covariates on the probability of an individual being a long-time survivor. Maximum likelihood estimators of the model parameters are obtained using the the expectation-maximisation (EM) algorithm. A graphical method is also provided for assessing the goodness-of-fit of the model. We present an example to illustrate the fit of this model to data that examines the effects of different risk factors on relapse time for drug addicts.