Disentangling the Weight of School Dropout Predictors: A Test on Two Longitudinal Samples

The aims of this study are to identify the most powerful predictors of school dropout and to determine how stable they are over time. Two generations of White French-speaking boys and girls from 12 to 16 years old (n = 791 in 1974, n = 791 in 1985) completed a self-administered questionnaire on their psychosocial adjustment at least one year before leaving school. As expected, the analyses showed that school, family, behavioral, social, and personality variables could all predict dropping out of school in the two samples. Furthermore, these predictors were quite stable over time. However, statistical improvement measures in logistic regression analyses indicated that school experience variables (i.e., grade retention, school achievement, school commitment) were the best screening variables for potential dropouts. The contribution of other psychosocial variables, even though significant, did not improve very much the capacity to identify who will drop out of school. The discussion highlights the implications of the findings for secondary prevention and screening practices.     

Trade openness-industrialization nexus revisited in Africa

Economic Change and Restructuring - The objective of this paper is to revisit the nature of the link between trade openness and industrialization in Africa over the period 1990–2019. Given...     

The inflationary aspect of repetitive devaluation: A comment

In this paper we use primary data on 500 Ghanaian FBOs collected through semi-structured interviews and risky dictator games (RDG) to test the validity of the cooperative life cycle theory and formulate a measure of cooperative health. We first define cooperative health as the alignment of heterogeneity in risk preferences and the effectuation of collective investments. We then use cluster and correlation analysis to categorize FBOs on the basis of their health and correlate these typologies with various performance indicators. Our findings reveal that organizational health is generally low as there are only a few organizations that manage to provide member-farmers with both risk-sharing and cost-saving opportunities. Further, healthier FBOs experience stronger growth in membership while health is lower in FBOs that have been established for the purpose of benefitting from external incentives.