The gatekeeper model: implications for social policy

One of the most important needs of an aging population is to insure that older adults are able to live as independently and safely as possible. The question for social policymakers is how to meet this goal in an era of shrinking resources and growing numbers of older adults. The Gatekeeper Model is highlighted as a method to insure that older adults at risk of problems that impact their ability to live independently can be helped by existing systems of care. The model trains employees of community businesses and corporations who work with the public to serve as community gatekeepers by identifying and referring community-dwelling older adults who may be in need of help. A research project was conducted at Spokane Mental Health, Elder Services Division, where the model was developed. The results indicate that community-based gatekeepers found 40% of clients. Gatekeepers find a distinct population of community-dwelling older adults who are not found by more traditional referral sources. The social policy implications of the Gatekeeper Model are discussed.     

Regional Infrastructure and Convergence: Growth Implications in a Spatial Framework

In this paper we contribute to the debate on convergence, by presenting an overview of the catch up process of the European regions between 1995 and 2006, focusing on both absolute and conditional β convergence. Our focus is on the role of infrastructure stocks in shaping the growth and convergence process between EU regions and to what extent the spatial dimension of the data affects results. We also explicitly examine the link between infrastructure evolution and regional economic growth with a spatial panel data approach. Our results confirm an ongoing convergence process at the EU regional level, and assess the important role of transport and telecommunication infrastructure, with traditional and spatial estimation techniques. We also confirm, in a panel setting, the strong positive correlation between transport and TLC indicators and GDP growth at the regional level.     

"No fertile soil for pathogens": rayon, advertising, and biopolitics in late Weimar Germany

Recent research on twentieth-century German history has begun to re-examine the centrality of race as a category of analysis. While not discounting its importance in the shaping and enacting of Nazi policies and practices, race is seen instead as one among many factors leading to the crimes of the Nazi regime. In this paper, the author considers the role consumerist desires and fantasies played in the wider context of the inter-war European fascination with notions of technology, "hygiene," democracy, and modernity. Using advertisements that were created to promote manufactured-fiber (rayon) apparel, this article suggests that continuities across cultures and time periods necessitate a re-evaluation of race as the signal organizing principal. Instead, the author argues that by complicating the intersections between class, science and technology, and an emerging, but troubling, modernity, 1920s rayon advertising offers an especially rich site for analysis of the ways in which biopolitics and nascent consumerism both sold products and constructed ideologies before 1933, and influenced the post-war welfare state.     

Cost–Benefit Analysis and the Rates of Return of Infrastructure Projects: Evidence from International Organizations

In this paper we analyse data on the rates of return of investment projects sponsored by three international institutions: the European Union (EU), the European Bank for Reconstruction and Development (EBRD), the World Bank (WB). The focus of the paper is on the variability of ex-ante economic rate of returns (ERR), of financial rates of return (FRR, available for EU and EBRD) and ex-post or re-estimated economic rates of return (RERR, available for WB only), along with the co-financing rate (EU). We propose a framework of analysis of FRR and ERR variations across projects, sectors, financing institutions and time, of the wedge between ERR and FRR, and of the gap between ERR and RERR. Our main conclusions are that the informational content of projects’ rates of return is valuable and is needed for cost–benefit analyses, and that sectors, countries, time and funding institutions explain much of the variability of these rates. We advocate the collection of standardized and comparable data since our framework could be used for comparing rates of return variability of development projects across countries, time of approval or completion, or any other relevant sampling criterion.