Private provision of public goods under price uncertainty

In this paper, price uncertainty is introduced into the model of voluntary provision of public goods. The analysis is carried out depending upon whether individuals make real or nominal contributions. We highlight the significant factors that determine the complex effects of changes in uncertainty on the level of provision, the level of welfare, and the gaps between equilibrium and optimal values of these variables. In particular, we show that in some situations it would be desirable to introduce artificial randomness in prices in order to alleviate the free rider problem and to increase welfare.We are indebted to two referees for their comments and suggestions.     

Coping while Incarcerated: A Study of Male Juvenile Offenders

The present study examines the associations between coping efforts and psychological (internalizing and externalizing symptoms) and behavioral adjustment in a sample of 373 male juvenile offenders (ages 14-17) during the first month of incarceration. Social support seeking was associated with a more rapid decline in internalizing symptoms and lower levels of externalizing symptoms. Acceptance had a stress-buffering effect with regard to internalizing symptoms, whereas denial predicted higher levels of these symptoms. The only coping variable related to violent behavior was active coping, which was associated with lower rates of violent offending among youth with any violent incidents. The importance of fostering coping skills and increasing positive coping options for incarcerated adolescents is discussed.     

Deception in the Workplace: Recent Research and Promising New Directions

This review identifies some of the promising new directions that scholars are pursuing in current research on deceptions in places of work. I identify and explore five main emphases that have emerged. These directions are comprised of studies that count the pervasiveness of deceptions; examine deception in service provision and emotional labor; identify varied workplace cultures of deception; examine accounts for deception in the wake of corruption, financial misconduct and other misbehaviors; and studies of Internet and computer technologies as new territories for deception. I conclude by suggesting some additional arenas for research into workplace deception, specifically, on professions that produce deception as a form of legitimate work; on deceptions in non‐profit organizations, and research into the technical and dramaturgical efforts that people put into making lies appear believable.     

How Cox models react to a study-specific confounder in a patient-level pooled dataset: random effects better cope with an imbalanced covariate across trials unless baseline hazards differ

Combining patient-level data from clinical trials can connect rare phenomena with clinical endpoints, but statistical techniques applied to a single trial may become problematical when trials are pooled. Estimating the hazard of a binary variable unevenly distributed across trials showcases a common pooled database issue. We studied how an unevenly distributed binary variable can compromise the integrity of fixed and random effects Cox proportional hazards (cph) models. We compared fixed effect and random effects cph models on a set of simulated datasets inspired by a 17-trial pooled database of patients presenting with ST segment elevation myocardial infarction (STEMI) and non-STEMI undergoing percutaneous coronary intervention. An unevenly distributed covariate can bias hazard ratio estimates, inflate standard errors, raise type I error, and reduce power. While uneveness causes problems for all cph models, random effects suffer least. Compared to fixed effect models, random effects suffer lower bias and trade inflated type I errors for improved power. Contrasting hazard rates between trials prevent accurate estimates from both fixed and random effects models.     

A general theorem and eight corollaries in search of correct decision

The main theorem established in this study and its corollaries summarize and generalize the existing results on optimal aggregation of experts judgments under uncertain pairwise choice situations. In particular, we explicate the link between the optimal decision procedure and the decision maker's preferences and biases and the judgmental competences of his consultants. The general theorem directly clarifies under what circumstances the optimal decision rule should be the democratic simple majority rule, the elitist expert rule, an intermediate weighted simple majority rule or a biased weighted or simple qualified majority rule.     

Simplest strategies method for manufacturing workcell restoration

We consider the production process of a manufacturing workcell. Production items obtained from an outside supplier are not processed adequately as far as their quality is concerned. Production items meeting the required quality depend on the workcell state, which degrades according to the number of produced items. The workcell is completely restored by some restoring operations leading to its as-new condition. The method of deriving the restoration period, which leads to the maximum probability that produced items meet the required quality, is introduced. It is based on the nontraditional approach, i.e. on the simplest strategies method for the formulation of the problem presented here. The implementation of this optimization approach is illustrated with an example.