Using a laboratory experiment, we investigate whether a variety of behaviors in repeated games are related to an array of individual characteristics that are popular in economics: risk attitude, time preference, trust, trustworthiness, altruism, strategic skills in one-shot matrix games, compliance with first-order stochastic dominance, ability to plan ahead, and gender. We do find some systematic relationships. A subject’s compliance with first-order stochastic dominance as well as, possibly, patience, gender, and altruism have some systematic effects on her behavior in repeated games. At the level of a pair of subjects who are playing a repeated game, each subject’s gender as well as, possibly, patience and ability to choose an available dominant strategy in a one-shot matrix game systematically affect the frequency of the cooperate–cooperate outcome. However, overall, the number of systematic relationships is surprisingly small.

Dispersal does not only mean moving from one environment to another, but can also refer to shifting from one social group to another. Individual characteristics such as sex, age and family structure might influence an individual's propensity to disperse. In this study, we use a unique dataset of an evacuated World War II Finnish population, to test how sex, age, number of siblings and birth order influence an individual's dispersal away from their own social group at a time when society was rapidly changing. We found that young women dispersed more than young men, but the difference decreased with age. This suggests that young men might benefit more from staying near a familiar social group, whereas young women could benefit more from moving elsewhere to find work or spouses. We also found that having more younger brothers increased the propensity for firstborns to disperse more than for laterborns, indicating that younger brothers might pressure firstborn individuals into leaving. However, sisters did not have the same effect as brothers. Overall, the results show that individual characteristics are important in understanding dispersal behaviour, but environmental properties such as social structure and the period of flux after World War II might upend the standard predictions concerning residence and dispersal.

Social media summary: Individual characteristics influence dispersal away from social group after a forced migration in a Finnish population

Non-take-up, i.e. individuals not applying for a benefit they are eligible for, is a widespread problem limiting the reach of welfare and protection systems. This paper seeks to understand it by means of a theoretical framework comprising two levels of analysis: the claimants’ individual characteristics in relation to the information barriers they face, and the administrative logic and functioning regarding the communications strategy used by public institutions. To test the hypotheses of these two levels of analysis, the paper analyses the B-MINCOME pilot scheme, a cash transfer programme implemented in the city of Barcelona between 2017 and 2019. Findings indicate that, although claimants’ characteristics may play a significant role, the administrative functioning and the communications strategy are fundamental in determining take-up rates. The conclusions briefly address some of the technical and moral concerns raised by non-take-up.

School bonding has been identified as a protective factor for a broad range of adolescent outcomes, and it is thus important to identify factors that foster positive relationships with school. The ecological perspective suggests the importance of both individual and contextual antecedents across developmental periods, yet previous research has tended to examine only a narrow selection of school bonding correlates. This study sought to identify longitudinal influences on school bonding, examining the role of both individual and contextual factors over childhood and early adolescence. We draw on data from 1,308 participants (51% female) in the Australian Temperament Project, a large representative Australian sample that has followed the psychosocial development of participants from infancy to adulthood, and thus provides a rare opportunity to address this gap in the literature. Path analysis was conducted to examine individual and contextual predictors of school bonding at 15–16 years. The individual characteristics of higher academic achievement and sociability, and lower hyperactivity predicted school bonding. Contextual factors also made a significant contribution, including the parent–child relationships and maternal education. The results indicate that both individual and contextual factors make unique contributions to school bonding in adolescence, suggesting a number of potential targets for intervention.