Strategic versus non-strategic voting power in the EU Council of Ministers: the consultation procedure

This article evaluates the distribution of power within the Council of the European Union from the a priori perspective of constitutional design using two distinct approaches: (1) applying traditional voting power indices; (2) carrying out strategic equilibrium analysis of the EU’s consultation procedure. It clarifies why both approaches lead to different power indications, and investigates the determinants of the differences’ magnitudes. Depending on one’s assumptions about behavior of the consultation procedure’s agenda setter, the European Commission, traditional indices turn out to deliver a good approximation also of relative strategic power in the Council.     

Burnout and impaired cognitive functioning: The role of executive control in the performance of cognitive tasks

Abstract

Burnout patients often report deficits in cognitive control, and there is a need to understand the processes involved. Drawing on recent findings, we hypothesized that emotional exhaustion and task-related demands on executive control would interact in predicting performance in tasks requiring the updating and monitoring of working memory as well as the inhibition of prepotent (dominant or automatic) responses. In accordance with recent conceptualizations of burnout, we focused on emotional exhaustion as the core symptom of burnout. The sample comprised 81 employees recruited from nursing homes for elderly care in Germany, who participated in a laboratory study involving cognitive tasks. Based on a median split, participants were divided into two groups: those with high burnout and those with low burnout. In line with our hypotheses, the high exhaustion participants performed less well than those with low exhaustion only when tasks put high demands on their executive control. As predicted, high levels of emotional exhaustion were associated with more errors and longer reaction times when demands on executive control were high, whereas no performance differences were found when both tasks put low demands on executive control. The implications for practice are discussed.     

The value of acquisition price differentiation in reverse logistics

The quality of returned products may vary greatly, depending on their previous usage. Since the remanufacturing of products in good condition is more economically rewarding for the remanufacturer—and since even for non-remanufacturable products the value that can be extracted from their parts or materials may depend on the products’ quality—it seems logical to acquire used products of different quality levels at different prices. However, acquisition price differentiation requires the product quality to be revealed, i.e. the products are graded before their actual acquisition. We observe two different approaches in current practice. The first one is a decentralized system with several collection sites to which the customers can bring their used products. After a short grading procedure, they receive a specific acquisition price offer for their products, which they can accept or decline directly. The second setting is a reverse logistics system with a centralized grading facility. The final grading is conducted after shipping the used products to this specific facility. Motivated by these empirical observations, we compare the two strategies with the help of a continuous approximation model. We derive analytical expressions for the optimal pricing and network density decision and show that, in addition to the other factors discussed in the literature, acquisition price differentiation can be a reason for decentralizing the reverse logistics network, if the product quality is uncertain. Furthermore, we illustrate our results with a numerical example.     

The influence of top management corporate networks on CEO succession

We analyze empirically how supervisory board members with multiple directorships affect the decision to hire an inside or outside CEO successor. While a growing number of both theoretical and empirical studies analyze the influence of corporate performance and size or the ownership structure on this decision, the role of multiple board memberships within the CEO recruitment process has been widely neglected so far. The present study is based on panel data of the largest German companies covering the period from 1996 to 2008. Applying competing risk estimations we find a weak and positive association between the number of external directorships of the supervisory board members and internal CEO replacements. Distinguishing between different groups of external board positions, we find that external executives on the supervisory board increase the likelihood of external CEO replacements. In line with empirical findings for the US we argue that external executives improve the assessment of potential CEO successors leading to more outside CEO replacements. In contrast, we find evidence that external supervisory board mandates of the supervisory board members cause more internal CEO replacements. This finding indicates a substitution of external expertise of the executives by multiple supervisory board mandates but could also reflect a reduction of the monitoring intensity of the supervisory board.     

Bayesian inference for generalized additive mixed models based on Markov random field priors

Most regression problems in practice require flexible semiparametric forms of the predictor for modelling the dependence of responses on covariates. Moreover, it is often necessary to add random effects accounting for overdispersion caused by unobserved heterogeneity or for correlation in longitudinal or spatial data. We present a unified approach for Bayesian inference via Markov chain Monte Carlo simulation in generalized additive and semiparametric mixed models. Different types of covariates, such as the usual covariates with fixed effects, metrical covariates with non-linear effects, unstructured random effects, trend and seasonal components in longitudinal data and spatial covariates, are all treated within the same general framework by assigning appropriate Markov random field priors with different forms and degrees of smoothness. We applied the approach in several case-studies and consulting cases, showing that the methods are also computationally feasible in problems with many covariates and large data sets. In this paper, we choose two typical applications.     

A new approach for disclosure control in the IAB establishment panel—multiple imputation for a better data access

For micro-datasets considered for release as scientific or public use files, statistical agencies have to face the dilemma of guaranteeing the confidentiality of survey respondents on the one hand and offering sufficiently detailed data on the other hand. For that reason, a variety of methods to guarantee disclosure control is discussed in the literature. In this paper, we present an application of Rubin’s (J. Off. Stat. 9, 462–468, 1993) idea to generate synthetic datasets from existing confidential survey data for public release.We use a set of variables from the 1997 wave of the German IAB Establishment Panel and evaluate the quality of the approach by comparing results from an analysis by Zwick (Ger. Econ. Rev. 6(2), 155–184, 2005) with the original data with the results we achieve for the same analysis run on the dataset after the imputation procedure. The comparison shows that valid inferences can be obtained using the synthetic datasets in this context, while confidentiality is guaranteed for the survey participants.     

Causes of ambiguity aversion: Known versus unknown preferences

Ambiguity aversion appears to have subtle psychological causes. Curley, Yates, and Abrams found that the fear of negative evaluation by others (FNE) increases ambiguity aversion. This paper introduces a design in which preferences can be private information of individuals, so that FNE can be avoided entirely. Thus, we can completely control for FNE and other social factors, and can determine exactly to what extent ambiguity aversion is driven by such social factors. In our experiment ambiguity aversion, while appearing as commonly found in the presence of FNE, disappears entirely if FNE is eliminated. Implications are discussed.      

Eigenverantwortung — Berufliche Leistung und Anforderung

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