Transition secured? A follow-up study of adolescents who have left secure residential care

Many adolescents who make the transition to adulthood experience problems after their departure from secure residential care. Research suggests that these young people are often in need of support after they have left secure care. Little is known about the experiences and perceptions of adolescents during and after this transition. The aim of this article is to assess these experiences for a group of 24 adolescents in the Netherlands that have left secure residential care. The results show, in line with previous studies, that many adolescents experience problems during their transition from secure care, especially with regard to finances, school and employment, and living arrangements. In contrast to other studies, a majority of the adolescents reports to have received support in the year following their departure. Relatively few adolescents move to independence after their departure, which suggests that many adolescents are not ready for making a true transition into adulthood yet.     

Trade Credit and the Propagation of Corporate Failure: An Empirical Analysis

Using an exhaustive data set on claims held by trade creditors (suppliers) on failed trade debtors (customers), we quantify the importance of trade credit chains for the propagation of corporate bankruptcy. We show that trade creditors experience significant trade credit losses due to trade debtor failures and that creditors' bankruptcy risks increase in the size of incurred losses. By exploring the roles of financial constraints and creditor‐debtor dependences, we infer that the trade credit failure propagation mechanism is driven by both credit losses and demand shrinkage. Finally, we show that the documented propagation mechanism constitutes a significant part of the overall bankruptcy frequency, suggesting that it has measurable implications for the aggregate level.     

Inflation and aggregate demand shocks

This paper derives and estimates a small general equilibrium model under the assumptions of imperfect competition and translog technology to simulate the impact of shifts in aggregate demand on prices. The simulations suggest that demand expansions are deflationary. This result challenges the common perception that the dynamic aggregate supply schedule is upward sloping.     

双重否定的修辞格——加拿大华裔离散文学

离散社群与祖籍国和居住国之间的关系一直是族裔文学书写的重要命题.近年来的华裔文学显示出华裔在隶属关系上从"非此非彼"向"既此又彼"的一种转向.华裔经典文学"非此非彼"的修辞母题强调族裔血缘关系的民族主义要素,并不能为华裔离散群体提供完整的归属感.而"既此又彼"的跨民族杂糅范式打破了血缘关系的本质论神话,创建属于自己的"第三空间"的移民社群,为跨民族个体创造出了肉体和人格的双重归属.这两者的分歧,使人不得不批评性地评估离散文学经典的创作原则.     

Migrant and asylum-seeker children returned to Kosovo and Albania: predictive factors for social–emotional wellbeing after return

The return of rejected asylum seekers has a high priority on the national agendas of European States. In order to make well-informed asylum decisions involving children, knowledge of how asylum-seeker children fare after their return to their countries of origin is needed. This study aims to gain knowledge about the child-rearing environment and the social–emotional wellbeing of migrant children who have returned to Kosovo and Albania after a stay in a European host country. Based on a sample of 106 returned families, the study investigated the predictive factors for children’s social–emotional wellbeing using regression analyses. The findings show that procedural characteristics and ethnicity predict wellbeing, mediated through the quality of the child-rearing environment. The most vulnerable children did not have a stable resident status in the host country, belonged to a minority ethnic group and were older adolescents. The findings indicate that the wellbeing of returned children is not only dependent on conditions after repatriation, but also on the conditions which the families left in the host country. To enable sustainable return in a child’s best interests, the needs of vulnerable families and children should be thoroughly assessed prior to return, and reintegration support should be tailored to their situation.     

In search of excellence: a case study of the first excellence initiative of Germany

As higher education policies are often associated with intense public spending, the evaluation and performance measurement of respective initiatives becomes increasingly crucial. An extensive and fruitful strand of literature has dealt with the assessment of university performance, yet mainly focused on point-in-time rather than period-of-time examinations. This study investigates the effects of Germany’s first Excellence Initiative, a political measure aimed at building up world-class universities to be able to compete in the globalizing research world. Relying on both qualitative and quantitative measures, taking into account a 15-year period from 1998 to 2012, we analyze the selection process and how and whether the Excellence Initiative fulfilled its ambitious goals. Our results suggest that not the political initiative per se, i.e. the treatment, but the announcement of the treatment triggered diverging performance paths within the German higher education system, thus positively contributed to augmented research performance of the promoted universities. Based on these findings, we provide policy recommendations and avenues for future research.     

Weight matrices for social influence analysis: An investigation of measurement errors and their effect on model identification and estimation quality

Weight matrices, such as used in network autocorrelation models, are useful to investigate social influence processes. The objective of this paper is to investigate a key topic that has received relatively little attention in previous research, namely the issues that arise when observational limitations lead to measurement errors in these weight matrices. Measurement errors are investigated from two perspectives: when relevant ties are omitted, and when irrelevant ties are erroneously included as part of the matrix. The paper first shows analytically that these two situations result in biased estimates. Next, a simulation experiment provides evidence of the effect of erroneously coding the weight matrix on model performance and the ability of a network autocorrelation test to identify social influence effects. The results suggest that depending on the level of autocorrelation and the topology attributes of the underlying matrix, there is a window of opportunity to identify and model social influence processes even in situations where the ties in a matrix cannot be accurately observed.