Corrigendum to “Discounted Stochastic Games With No Stationary Nash Equilibrium: Two Examples”

Levy (2013) presented examples of discounted stochastic games that do not have stationary equilibria. The second named author has pointed out that one of these examples is incorrect. In addition to describing the details of this error, this note presents a new example by the first named author that succeeds in demonstrating that discounted stochastic games with absolutely continuous transitions can fail to have stationary equilibria.     

Terror and trade of individual investors

A great number of psychological studies document the influence of emotions on individuals’ decision-making processes. This paper contributes to this literature by analyzing the possible impact of terrorism on financial trade by individual investors. Using account data for over 3000 households obtained from a large Israeli bank, we look into reactions of common stock investments to terrorist incidents in the years 1998–2002. The empirical analysis indicates that terror has a significant adverse effect on actual trade, possibly limiting the scope of risk-sharing available through traded securities. Several psychological explanations for investors’ reluctance to trade are provided. Amongst them are the increase in public fear (resulting in pessimistic risk estimates and risk averse choices); the sense of ambiguity caused by terror; repercussions of anxiety and depression disorders; a desire to avoid future regret. Our results add to the recent literature documenting the harmful effects terrorist acts have on various facets of the economy.     

RITUALS OR GOOD WORKS: SOCIAL SIGNALING IN RELIGIOUS ORGANIZATIONS

We develop a model of social signaling of religiosity and cooperative behavior in religious organizations. The model embeds a ritual‐based religious organization in which signaling arises through the use of costly rituals, and a discipline‐based religious organization in which such signaling occurs through the monitoring of past behavior. We use this framework to contrast—positively and normatively—these two forms of social signaling. We show that ritual‐based religions, while using a costly and wasteful signal, also imply a higher level of coordination of behavior in social interactions and a higher incidence of mutual cooperation. Our welfare analysis suggests that communities are more likely to support a switch to a discipline‐based religion if strategic complementarities are high, and if there is sufficiently high level of public information about social behavior. This accords with the success of Calvin's Reformation in Switzerland and France, a process characterized by the reduction of rituals along with the creation of institutions to monitor and publicize individuals' behavior, such as the Consistory.     

Gambling Disorder in Veterans: A Review of the Literature and Implications for Future Research

To review the scientific literature examining gambling behavior in military veterans in order to summarize factors associated with gambling behavior in this population. Database searches were employed to identify articles specifically examining gambling behavior in military veterans. Cumulative search results identified 52 articles (1983–2017) examining gambling behavior in veteran populations. Articles generally fell into one or more of the following categories: prevalence, psychological profiles and psychiatric comorbidities, treatment evaluations, measurement, and genetic contributions to gambling disorder. Results from reviewed articles are presented and implications for future research discussed. Research to date has provided an excellent foundation to inform potential screening, intervention and research activities going forward. The authors suggest that a public health approach to future research endeavors would strengthen the evidence base regarding gambling in veteran populations and better inform strategies for screening, prevention and treatment.     

Pairwise Comparisons Associated with the K Independent Sample Median Test

In this article, a Tukey-type method is proposed that will allow simultaneous pairwise comparisons among all pairs of samples associated with Mood's procedure. An example is also provided for illustrative purposes.     

Self-Esteem,Life Satisfaction,and Positive Future Perception among at-Risk and Comparison Group Participants in National Civic Service

ABSTRACT

This study focuses on a program designed to engage at-risk youth in the National Civic Service (NCS) in Israel with the goal of enabling them to better integrate into normative adult lives. This exploratory study employed a cross-sectional design and compared groups of at-risk female volunteers (N = 426) with comparison groups of not at-risk participants in the NCS (N = 456). For both of them, three sub-groups were examined at different stages of their service: the beginning, near the end, and about one year after finishing the service. In both the at-risk and comparison groups, self-esteem was higher among the alumni compared to those at earlier stages of the program. Life satisfaction was generally much lower among the at-risk group, but after service completion, both groups reported higher life satisfaction. There were no significant differences between the groups in their future perceptions. The implications of these findings for policy and practice are discussed.     

A regression-based approach for estimating primary and secondary particulate matter intake fractions.

One of the common challenges for life cycle impact assessment and risk assessment is the need to estimate the population exposures associated with emissions. The concept of intake fraction (a unitless term representing the fraction of material or its precursor released from a source that is eventually inhaled or ingested) can be used when limited site data are available or the number of sources to model is large. Although studies have estimated intake fractions for some pollutant-source combinations, there is a need to quickly and accurately estimate intake fractions for sources and settings not previously evaluated. It would be expected that limited source or site information could be used to yield intake fraction estimates with reasonable accuracy. To test this theory, we developed regression models to predict intake fractions previously estimated for primary fine particles (PM2.5) and secondary sulfate and nitrate particles from power plants and mobile sources in the United States. Our regression models were able to predict pollutant-specific intake fractions with R2 between 0.53 and 0.86 and equations that reflected expected relationships (e.g., intake fraction increased with population density, stack height influenced the intake fraction of primary but not secondary particles). Further analysis would be needed to generalize beyond this case study and construct models applicable across source categories and settings, but our analysis demonstrates that inclusion of a limited number of parameters can significantly reduce the uncertainty in population-average exposure estimates.