The minimal overlap rule revisited

This paper provides an analysis of the Minimal Overlap Rule, a solution for bankruptcy problems introduced by O’Neill (1982). We point out that this rule can be understood as a composition of Ibn Ezra’s proposal and the recommendation given by the Constrained Equal Loss Rule. Following an interpretation of bankruptcy problems in terms of TU games, we show that the Minimal Overlap Value is the unique solution for bankruptcy games which satisfies Anonymity and Core Transition Responsiveness.     

Weber on anomie

InGesammelte Aufsätze zur Religionssoziologie, Max Weber discussed the anomic potential of some non-Western religious doctrines. This paper provides an analysis of Weber's writings on anomie and attempts to show the relevance of Weber's work to contemporary anomie research. First, I locate Weber's treatment of anomie within his discussion of great world religions, highlighting its significance in a cross-cultural context. Second, I compare Weber's notion of anomie with current evaluations of anomie and discuss a typology of usages of the term. Finally, I explore the suggested usefulness of Weber's work on anomie for contemporary purposes.     

Risk of Error and the Kappa Coefficient of a Binary Diagnostic Test in the Presence of Partial Verification

The accuracy of a binary diagnostic test is usually measured in terms of its sensitivity and its specificity, or through positive and negative predictive values. Another way to describe the validity of a binary diagnostic test is the risk of error and the kappa coefficient of the risk of error. The risk of error is the average loss that is caused when incorrectly classifying a non-diseased or a diseased patient, and the kappa coefficient of the risk of error is a measure of the agreement between the diagnostic test and the gold standard. In the presence of partial verification of the disease, the disease status of some patients is unknown, and therefore the evaluation of a diagnostic test cannot be carried out through the traditional method. In this paper, we have deduced the maximum likelihood estimators and variances of the risk of error and of the kappa coefficient of the risk of error in the presence of partial verification of the disease. Simulation experiments have been carried out to study the effect of the verification probabilities on the coverage of the confidence interval of the kappa coefficient.     

Knowledge Transfer between For‐Profit Corporations and Their Corporate Foundations

This article investigates the impact of knowledge transfer (Goh 2002) from founder firms to the corporate foundations (CFs) on the CFs’ effectiveness. Starting from a typology of CFs’ effectiveness (Ostrower 2006a), we conducted a survey addressed to a sample of Italian CFs to address the impact of different knowledge transfer methods (KTMs) on three dimensions of CFs’ orientation to effectiveness: proactive orientation, social advocacy, and capacity building. The research identified four different KTMs and, using a linear regression, pointed out that the methods adopted by founder firms have a significant influence on proactivity, competences, and on social advocacy of CFs.     

The policies of unemployment protection in Europe

The abundant literature on welfare state policies, regimes or ‘worlds’ has been only limitedly interested in unemployment protection, and even less in youth unemployment protection. What is clearly lacking in the literature is an updated analysis of the most recent policies developed in European countries targeting youth. This mini‐symposium aims to fill in this gap by presenting findings from an EU‐funded research project entitled ‘Youth, Unemployment and Exclusion in Europe: A Multidimensional Approach to Understanding the Conditions and Prospects for Social and Political Integration of Young Unemployed’ (YOUNEX). The main aim of the research endeavour was to develop theory and contribute to empirical knowledge concerning the social and political exclusion of unemployed youth in Europe.     

Bayesian outlier testing using the predictive distribution for a linear model op constant intraclass form

The problem of testing suspected outliers from a linear model with constant intraclass correlation is considered from a Bayesian viewpoint. The main objective of this paper is to develop an outlier test procedure based on the predictive distribution of suspected outlier observations given a set of existing inlier observations. The test procedure is easily performed with the usual F and t distributions.