<Emphasis Type="Italic">Michael Corsten,Hartmut Rosa und Ralph Schrader</Emphasis> (Hg.): Die Gerechtigkeit der Gesellschaft

Ohne Zusammenfassung     

Allelic variation and human longevity

Human longevity is a complex phenotype with a strong genetic contribution. The search for allelic variation that impacts on longevity often involves population-based association studies of long-lived individuals (centenarians and nonagenarians) and younger controls. A major methodological problem with this approach is that the cases and controls in these experiments are often born several generations apart. The inherent absence of "age matching" can lead to serious misinterpretations. For example, allele frequency differences between long-lived individuals and younger controls may not reflect an effect on longevity but rather a change in population structure over time or different gene-environment interactions across generations.     

Rapid Trading bei deutschen Aktienfonds: Evidenz aus einer großen deutschen Fondsgesellschaft

This paper is the first to examine rapid trading among German equity mutual fund investors. Using data on inflows and outflows provided by a large German mutual fund company for all of its equity funds, we find strong evidence for rapid trading. It is particularly pronounced for small funds, risky funds, funds with low nominal prices, and international funds. However, we find no evidence of market timing activities. Furthermore, unlike in the US, rapid trading is less pronounced for funds with high loads. This shows that rapid trading among German fund investors is not explained by churning due to brokers’ advice. Rather, our results are consistent with the view that some investors use mutual funds for short-term, speculative purposes. The funds among which we observe the strongest rapid trading show lottery-like characteristics. Regarding fund performance, we find (at most) only very weak evidence for a negative impact of rapid trading on fund performance before the fund scandal of 2003, and no evidence afterwards.     

Derivation of the theoretical autocovariance and autocorrelation function of autoregessive moving average processes

Closed form expressions for the theoretical autocovariance and autocorrelation function of mixed autoregressive moving average processes are presented. The results provide insight into the construction of autocovariances and autocorrelatians and are useful in theoretical analysis, model identification as well as in implementing maximum likelihood estimation algorithms.     

Ecosocial change and community resilience: The case of “Bönan” in glocal transition

ABSTRACT

The aim of this article was to identify and discuss ecosocial changes and community resilience mechanisms in a coastal fishing community of Sweden – Bönan. Data were collected through eight semi-structured interviews and field observations. An abductive thematic analysis was used to analyze data and background literature. The findings showed that Bönan has been exposed to a combination of ecosocial changes that have transformed the community, and therefore required community resilience interventions. This article concludes that social workers need to take an active part in ecosocial work for enhancing community resilience.     

Confidence regions for Pareto parameters from a single and independent samples

[Abstract] Based on a single and on two independent samples, joint confidence regions for parameters of Pareto distributions are proposed with minimum volume properties and without assigning the confidence level to dimensions. In the one-sample case, comparisons are made to former simultaneous confidence sets for Pareto parameters by means of simulation and a real data set. The two-sample case is studied in various set-ups and comprises simultaneous confidence regions for the shape parameters, the scale parameters, and higher-dimensional vectors of these parameters, where common shape and common scale models are also considered.     

A statistical test for detecting discordance in rankings between k groups

In several research areas such as psychology, social science, and medicine, studies are conducted in which objects should be ranked by different judges/raters and the concordance of the different rankings is then analyzed. In such studies, it is also frequently of interest to compare the rankings between different groups of judges, e.g. female vs. male judges or judges from different professions. In the two-group case, the two-group concordance test of Schucany & Frawley can be employed for such a comparison. In this article, we propose an extension of this test enabling the comparison of rankings from more than two groups of judges. This test aims to detect disagreement in the average rankings of the objects between k groups with an at least moderate intra-group concordance. We evaluate this test in an extensive simulation study and in an application to data from an aesthetics study. This simulation study shows that the proposed test is able to detect differences between average rankings and performs well even in situations in which the disagreement is comparably small or the intra-group concordance is inhomogeneous.