DO EMPLOYERS PAY FOR CONSISTENT PERFORMANCE?: EVIDENCE FROM THE NBA

In a world of uncertainty in which a worker's performance is variable over time and average performance is unknown when hiring, how will employers determine compensation? We develop a monitoring and signaling model where information is symmetric and parties are risk neutral. Monitoring costs increase with inconsistency, lowering pay for inconsistent workers. If discrimination exists, minority workers will be rewarded less than majority workers for improving consistency. Testing these and other predictions using National Basketball Association data, we find that consistent professional basketball players are paid more, but, in contrast to previous studies, there is no evidence of discrimination. (JEL J3, J7)     

Trends in Alcohol Consumption Among Undergraduate Students at a Northeastern Public University, 2002–2008

Abstract

Objective: This study examined alcohol consumption patterns and trends at a public university in the Northeast from 2002 to 2008. Participants: Stratified random sampling was used to select undergraduate students enrolled in courses during spring semesters in 2002, 2004, 2006, and 2008. Methods: Data were collected during regularly scheduled classes for 4 measures of alcohol consumption and 5 demographic categories using the Core Alcohol and Drug Survey. Results: Four groups showed significant increases in both frequency and volume of alcohol consumption—students who were female, over 21 years of age or over, living off-campus, or performing well academically. There were no decreasing trends for any demographic group. These results differ from national college health surveys, which have shown alcohol use remaining steady during this period. Conclusions: Campus-specific trend data can provide unique perspectives and guide programming efforts. These trends suggest a need for new intervention strategies on this campus.     

Feminization of refugee: Intersectionality,solidarity, resistance

This work aims to examine a possible change of feminist civil society pertaining to inclusivity with a particular interest in violence. It evaluates state-civil society relations, coping mechanisms with domestic violence and solidarity patterns with female refugees. It proposes a novel theoretical contribution, ‘feminization of refugee’ suggesting a positive shift in the empowerment of refugee women through bidirectional solidarity, intersectionality and resistance which consequently diversifies and invigorates the civil society itself. The findings suggest that the manifestation of a resistant civil society in Turkey inclined to withhold a strong feminist stance with a rights-based approach. The findings further manifest a growing need towards shelters in the pandemic experience which recalls capacity building requirements of civil society for refugee women against violence.     

Bringing “A Different Femininity”: Immigrant Women from Bulgaria and Local Co-workers on a Factory Floor in Turkey

Qualitative Sociology - This article draws on life-course interviews with a group of Turkish immigrant women from socialist Bulgaria and locals who shared the same factory floor for approximately...     

Restricted ridge estimator in generalized linear models: Monte Carlo simulation studies on Poisson and binomial distributed responses

It is known that collinearity among the explanatory variables in generalized linear models (GLMs) inflates the variance of maximum likelihood estimators. To overcome multicollinearity in GLMs, ordinary ridge estimator and restricted estimator were proposed. In this study, a restricted ridge estimator is introduced by unifying the ordinary ridge estimator and the restricted estimator in GLMs and its mean squared error (MSE) properties are discussed. The MSE comparisons are done in the context of first-order approximated estimators. The results are illustrated by a numerical example and two simulation studies are conducted with Poisson and binomial responses.     

Quantile estimation and comparing two independent groups with an approach based on percentile bootstrap

Although the most common approach for comparing two independent groups is on the basis of some measure of location, determination of the differences in the tails of the groups is often of interest. In this study, Harrell–Davis estimator, Sfakianakis–Verginis estimators and default quantile estimator of R are used in conjunction with a percentile bootstrap method with the aim of comparing two independent groups via the quantiles, and the relative efficiencies of Harrell–Davis and Sfakianakis–Verginis estimators are compared. General performance of Sfakianakis–Verginis estimators was much better than Harrell–Davis estimator in terms of both saving actual type I error and relative efficiency.