Does control concentration affect board busyness? International evidence

Journal of Management and Governance - Previous literature suggests that shareholders can concentrate control without cash flow rights, creating incentives to expropriate firm resources. However,...     

Jobless or Working Poor in the Kyrgyz Labour Market: What Role for Social Policies?

This paper attempts to identify the multiple aspects of vulnerability in the Kyrgyz labour market. Particular attention is devoted to the working poor and precarious workers. This analysis is undertaken using the Kyrgyz Poverty Monitoring Survey, which is the only survey to date that allows a comprehensive analysis of poverty and labour market outcomes in the Kyrgyz Republic. The period under investigation covers the years 1997 to 1998, for which data are available. The results point to the extreme vulnerability of individuals with less education and women, who cumulated a high risk of being unemployed, of remaining longer in unemployment, of being discouraged unemployed and, if employed, of being low‐paid or working in precarious jobs. Other groups facing a high risk of exclusion, both from and within employment, were people with disabilities, individuals living in rural or depressed areas, young people and internal migrants. The multiple aspects of vulnerability in the Kyrgyz labour market, in particular the large overlap between work and poverty, have important implications for the design of effective social policies.     

The use of geotechnologies for the identification of the urban flora in the city of Teresina,Brazil

Urban Ecosystems - Urban greenness is an element of vital importance for the population quality of life, and forest inventory is considered the most appropriate method for its assessment. Remote...     

Semiparametric Estimation in Copulas with the Same Marginals

We consider semiparametric multivariate data models based on copula representation of the common distribution function. A copula is characterized by a parameter of association and marginal distribution functions. This parameter and the marginal distributions are unknown. In this article, we study the estimator of the parameter of association in copulas with the marginal distribution functions assumed as nuisance parameters restricted by the assumption that the components are identically distributed. Results of this work could be used to construct special kinds of tests of homogeneity for random vectors having dependent components.     

Race differentials in employment effects of psychological distress: A study of non-Hispanic Whites and African-Americans in the United States

This study used two sub-samples of African-Americans and non-Hispanic Whites from the 2002–2003 U.S. National Survey on Drug Use and Health to examine differential effects of psychological distress (PD) on employment. Failing to reject exogeneity of PD in the employment specifications, we estimated standard probit of employment. We found that PD significantly reduced employment probability regardless of race; but the reduction was 7.4% for African-Americans, compared to 5.3% for Whites. Using individuals with PD only, we estimated the Oaxaca–Blinder decomposition and found endowments explained 61% of employment differences between Whites with PDs and African-Americans with PDs while 39% of these differences were due to unexplained factors. These findings suggest that targeted policies for prevention and effective treatment of PD might yield higher employment benefits for minorities.     

In college and in recovery: Reasons for joining a Collegiate Recovery Program

ABSTRACT

Objective: Collegiate Recovery Programs (CRPs), a campus-based peer support model for students recovering from substance abuse problems, grew exponentially in the past decade, yet remain unexplored. Methods: This mixed-methods study examines students' reasons for CRP enrollment to guide academic institutions and referral sources. Students (N = 486) from the 29 CRPs nationwide operating in 2012 completed an online survey in 2013. Results: Students were somewhat older than traditional age (mean age = 26). Now sober for 3 years (mean), they had experienced severe dependence on multiple substances. One third reported they would not be in college were it not for a CRP, and 20% would not be at their current institution. Top reasons for joining a CRP were the need for same-age peer recovery support and wanting to “do college sober,” recognizing that college life challenges sobriety. Conclusions: CRPs appear to meet their mission of allowing recovering students to pursue educational goals in “an abstinence hostile environment.” Findings emphasize the need for more institutions to address the support needs of students in recovery.     

Future directions for research into the psychological determinants of problem gambling patterns

Abstract

Rapid increases in the availability of gambling have led to an increased recognition of problem gambling as a major public health concern. A growing body of empirical research has contributed greatly to current knowledge; however, most has centered on prevalence and on risk factors for problem gambling. In this paper, the authors argue for the need to extend the investigative scope of the gambling studies field to improve understanding the natural course of problem gambling over time and to the identification of psychosocial determinants of gambling patterns. Elucidating these issues would constitute an important first step in refining preventive and therapeutic efforts toward curbing possible increases in problem gambling and attendant consequences. Important research areas and methodologies identified in this paper are: large‐scale prospective studies using repeated measures, investigations into factors that may protect from or facilitate progression to problem gambling, especially factors that may be amenable to change, and broadening research samples to community‐based regular gamblers, particularly subclinical (in transition) individuals.     

Improving extreme quantile estimation via a folding procedure

In many applications (geosciences, insurance, etc.), the peaks-over-thresholds (POT) approach is one of the most widely used methodology for extreme quantile inference. It mainly consists of approximating the distribution of exceedances above a high threshold by a generalized Pareto distribution (GPD). The number of exceedances which is used in the POT inference is often quite small and this leads typically to a high volatility of the estimates. Inspired by perfect sampling techniques used in simulation studies, we define a folding procedure that connects the lower and upper parts of a distribution. A new extreme quantile estimator motivated by this theoretical folding scheme is proposed and studied. Although the asymptotic behaviour of our new estimate is the same as the classical (non-folded) one, our folding procedure reduces significantly the mean squared error of the extreme quantile estimates for small and moderate samples. This is illustrated in the simulation study. We also apply our method to an insurance dataset.