Understanding PTSD: Forgetting "Trauma"

The concept of "psychological trauma" conflates emotional responses to traumatic events such as motor vehicle accidents, muggings, and house fires, responses to natural disasters such as earthquakes and volcanic eruptions, and responses to war, chronic physical abuse, prolonged torture, and repeated gang-rape as an act of "ethnic cleansing." It is argued that, from a psychological, human, and moral perspective, use of a single construct to describe responses to such a range of horrific happenings makes no sense. The benefits and limits of conceptualizing PTSD as a unifying concept for describing psychological responses to calamitous events are discussed. The consequences (with respect to clinical work, research, and social policy) of failing to distinguish between responses to relatively circumscribed traumatic events, more extreme, prolonged, or repeated individual traumatization, and collectively experienced mass violence against entire communities are examined.     

Collective Emotions in Conflict Situations: Societal Implications

It is well established today that emotions are an important part of most societal dynamics. The current article focuses on the role of different collective emotional elements in creating, preserving, and resolving conflicts. The main premise is that collective emotions play a pivotal role in shaping individual and societal responses to conflicting events and in contributing to the evolvement of a social context that maintains the emotional climate and collective emotional orientation that have developed. The first part of the article provides a conceptual framework to discuss the relations between conflict, context, and collective emotions. The second part uses the conceptual framework to discuss the societal implications of the articles presented in this issue. Taken together, the parts create a platform for future research on the role of collective emotions in conflict resolution and the construction of cultures of peace.     

On the Cycle-Transitivity of the Dice Model

We introduce the notion of a dice model as a framework for describing a class of probabilistic relations. We investigate the transitivity of the probabilistic relation generated by a dice model and prove that it is a special type of cycle-transitivity that is situated between moderate stochastic transitivity or product-transitivity on the one side, and ukasiewicz-transitivity on the other side. Finally, it is shown that any probabilistic relation with rational elements on a three-dimensional space of alternatives which possesses this particular type of cycle-transitivity, can be represented by a dice model. The same does not hold in higher dimensions.     

Tempered Regrets Under Total Ignorance

Several decision rules, including the minimax regret rule, have been posited to suggest optimizing strategies for an individual when neither objective nor subjective probabilities can be associated to the various states of the world. These all share the shortcoming of focusing only on extreme outcomes. This paper suggests an alternative approach of tempered regrets which may more closely replicate the decision process of individuals in those situations in which avoiding the worst outcome tempers the loss from not achieving the best outcome. The assumption of total ignorance of the probabilities associated with the various states is maintained. Applications and illustrations from standard neoclassical theory are discussed.     

On the Relative Strengths of Altruism and Fairness

Some researchers have attributed deviations from selfish behavior to fairness. Violations of fairness theories, however, are observed in experimental dictator games with transfer rates greater than 1 (a transfer of x from the dictator yields an income of tx for the beneficiary, where x < tx): the dictator’s final income is less than the beneficiary’s. We theoretically propose that dictator giving also involves altruism, further supporting our claim with empirical evidence from four separate samples of dictator game experiments. Our nonlinear specification allows the relative measurement of the independent motives in dictator behavior.     

Can cities be held responsible for early school leaving? Evidence from the Netherlands

This paper examines if ‘naming and shaming’ is an effective tool to increase accountability in school dropout for cities with disadvantaged student populations. It argues that a comparison with other cities might be unfair if regional and population characteristics differ. It discusses the example of two Dutch new towns. The new town policy deliberately attracted low- and medium-income households in the past, such that today the population of those cities differs from other cities. We use a matching analysis to account for observed differences in population and regional characteristics. The results point out that ‘naming and shaming’ may be a dangerous policy to increase accountability: early school leaving differences are driven, to a large extent, by observed differences in population and regional characteristics.