Robust variable selection with application to quality of life research

A large database containing socioeconomic data from 60 communities in Austria and Germany has been built, stemming from 18,000 citizens’ responses to a survey, together with data from official statistical institutes about these communities. This paper describes a procedure for extracting a small set of explanatory variables to explain response variables such as the cognition of quality of life. For better interpretability, the set of explanatory variables needs to be very small and the dependencies among the selected variables need to be low. Due to possible inhomogeneities within the data set, it is further required that the solution is robust to outliers and deviating points. In order to achieve these goals, a robust model selection method, combined with a strategy to reduce the number of selected predictor variables to a necessary minimum, is developed. In addition, this context-sensitive method is applied to obtain responsible factors describing quality of life in communities.     

Discourses of service user involvement in meeting places in Norwegian community mental health care: a discourse analysis of staff accounts

In previous research, meeting places have been favourably addressed by service users, but they have also been contested as exclusionary. In this participatory explorative study, we sought to perform a contextual analysis of meeting places in Norway based on a discourse analysis of three focus group discussions with 15 staff members. We asked the following question: how do meeting-place employees discuss their concrete and abstract encounters with service users and their experiences? We focused on service user involvement, which was largely analysed as neoliberal consultation and responsibilisation. Service users were positioned as resisting responsibility trickling down and defending staffed meeting places. Social democratic discourse was identified in the gaps of neoliberal discourse, which is noteworthy given that Norway is a social democracy. This relates to global concerns about displacements of democracy. We suggest that meeting places appear to hold the potential for staff and service users to collaborate more democratically.     

Envisioning European Solidarity between Welfare Ideologies and the European Social Agenda

This article uses the debates of the Working Group ‘Social Europe’ of the European Convention for the Future of the European Union that drafted the Constitutional Treaty to explore the views on the European social model among representatives of the European political class. The debates within the European Convention on basic social values, social objectives, the Union's competences, the open method of coordination, the coordination of social and economic policies as well as the role of social partners provide insight into the emerging visions of European solidarity at the crossroads between welfare regime ideologies and Europeanization. It is argued that, despite an overall consensus regarding a greater future role of the European Union in social policy, the contours of the European social model and the scope of the Union's competences remain contested. However, the observed cleavages are to be found mainly on the left–right political scale, and this suggests that we might gradually be observing a re-politicization of the social policy discourse at European level. Nevertheless, the holding on to arguments of subsidiarity and especially sovereignty represents a barrier to envisioning European solidarity and developing a stronger European social agenda.     

Die Rolle des Luftverkehrsrechts und der Haftung bei Flugzeugkatastrophen: Eine Finanzmarktanalyse

Zusammenfassung  Rechtsansprüche gegen Fluggesellschaften und Flugzeughersteller in Folge einer Flugzeugkatastrophe richten sich nach einer Flut rechtlicher Bestimmungen, die aus internationalen Abkommen, Vereinbarungen zwischen Fluglinien sowie aus Bundes- und Landesrecht resultieren. Die jeweilige Rechtsgrundlage in einem spezifischen Fall h?ngt von verschiedenen Umst?nden ab, die mit einem Unfall verbunden sind. Es überrascht daher nicht, dass zugesprochene Schadensersatz- und Schmerzensgeldzahlungen an die Angeh?rigen der Opfer von Fall zu Fall erheblich divergieren. In unserer Studie mit U.S.-amerikanischen Daten untersuchen wir, inwieweit der kurz- und langfristige Erfolg von Fluggesellschaften und Flugzeugherstellern durch Flugzeugkatastrophen beeinflusst wird und wir eruieren diejenigen Determinanten, die Performanceunterschiede erkl?ren k?nnen. Verwandte Untersuchungen haben sich weitgehend auf Effekte für Markennamen oder steigende Versicherungspr?mien als Ursachen für Aktienkursverluste konzentriert. Unsere Ergebnisse zeigen darüber hinaus, dass das regulatorische Umfeld einer spezifischen Unglückssituation erheblichen Einfluss darauf hat, wie Finanzm?rkte reagieren. Die Reaktionen der Marktteilnehmer weisen darauf hin, dass die unterschiedlichen Berechnungsgrundlagen für die Opferentsch?digung recht klar erkannt werden.

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The role of aviation laws and legal liability in airplane accidents: A financial market perspective

Summary  Legal liability claims against airlines and airplane manufacturers following an aviation disaster are determined through a myriad of international treaties, intercarrier agreements, and federal and state laws. Which law applies in a specific situation depends on various circumstances surrounding the accident. As a result, pecuniary and non-pecuniary damage awards for the families of the accident victims may vary substantially from case to case. Using U.S. data, our study examines how aviation disasters affect the short and long-term performance of airlines and airplane manufacturers and explores the factors that drive the performance differences. While prior research has largely focused on brand name effects and rising insurance premiums as possible determinants of stock price losses, our results suggest that the regulatory environment that applies to a given aviation accident has a significant impact on how the market reacts to its announcement. Inequities in the valuation of a human life are clearly reflected in stock price reactions. While recent regime changes have helped eliminate some of these imbalances further reform may be necessary.

     

Reflections on grounding firm innovation and viability

Entrepreneurial activity unfolds in a dynamic environment that challenges business viability. We utilize grounded theory as a novel type of reflection to explain and interpret whether and how innovation can afford survival benefits to firms. The premise is the application of a methodological approach with reflexive properties to advance scientific rigor in “reflections.” The idea underlying our reflection was to use innovation as the point of departure, review the literature, conceptualize ideas, and finally link the concepts that emerged as components of a framework. Our view of the firm resembles a viable entity that changes, constantly striving to meet and balance internal potentials and external complexities, while innovation per se involves change that is made possible by entrepreneurship. We bring together our personal and professional backgrounds and implement the European scholarly tradition on innovation and Viable Systems approach to scrutinize innovation’s interactions and relations. We linked boundary conditions, opportunities, and complementary assets to innovation. Effectively, our analysis conceptualizes innovation as autopoiesis in entrepreneurship and demonstrates its central role as the vehicle to exploit changes that ensure firm viability.     

Sensitivity Analysis Using Risk Measures

In a quantitative model with uncertain inputs, the uncertainty of the output can be summarized by a risk measure. We propose a sensitivity analysis method based on derivatives of the output risk measure, in the direction of model inputs. This produces a global sensitivity measure, explicitly linking sensitivity and uncertainty analyses. We focus on the case of distortion risk measures, defined as weighted averages of output percentiles, and prove a representation of the sensitivity measure that can be evaluated on a Monte Carlo sample, as a weighted average of gradients over the input space. When the analytical model is unknown or hard to work with, nonparametric techniques are used for gradient estimation. This process is demonstrated through the example of a nonlinear insurance loss model. Furthermore, the proposed framework is extended in order to measure sensitivity to constant model parameters, uncertain statistical parameters, and random factors driving dependence between model inputs.