How did the financial crisis affect the transnationality of the global financial elite? One step forward and one step back

Over the last few decades, transnational elite formation progressed hand in hand with a deterioration in national business elites. Most studies regard this process as progressive and linear. However, we argue that transnational elite formation is subject to a variety of opposing forces, and the assumed progression is not a given fact. As an intriguing case, we analyse the financial business elite with a focus on the financial crisis of 2008. This international event had substantial ramifications, including a possible external shock to transnational elite formation. To study the consequences of the crisis, we collected the board composition data of the 48 largest transnational financial companies for the period 2006–11. Changes in board composition show opposing effects. For example, transnationality increased during the crisis, but reversals appeared when national governments intervened.     

Change-Point Tests for the Error Distribution in Non-parametric Regression

Abstract.  Several testing procedures are proposed that can detect change-points in the error distribution of non-parametric regression models. Different settings are considered where the change-point either occurs at some time point or at some value of the covariate. Fixed as well as random covariates are considered. Weak convergence of the suggested difference of sequential empirical processes based on non-parametrically estimated residuals to a Gaussian process is proved under the null hypothesis of no change-point. In the case of testing for a change in the error distribution that occurs with increasing time in a model with random covariates the test statistic is asymptotically distribution free and the asymptotic quantiles can be used for the test. This special test statistic can also detect a change in the regression function. In all other cases the asymptotic distribution depends on unknown features of the data-generating process and a bootstrap procedure is proposed in these cases. The small sample performances of the proposed tests are investigated by means of a simulation study and the tests are applied to a data example.     

Social embeddedness in a harmonized Europe: the social networks of European migrants with a native partner in Belgium and the Netherlands

Although intra‐European migration is often considered relatively easy to realize given European citizens' right to freedom of movement, settlement in another European country can still be experienced as socially disruptive. Insights in the insertion processes of European migrants, nevertheless, remain rather scarce. In this study, we analyse the social networks of European nationals with a native partner in Belgium and the Netherlands. The analysis is based on survey data from the EUMARR project (n = 576). First, we study the size and composition of European migrants' local family and friendship networks, and the frequency of contact with these networks. Second, we connect intra‐EU movers' insertion routes to investments in transnational networks in their home country. The results reveal how size, composition and contact with the local and transnational network change over time. Children help to maintain contact with both the local and transnational family network and form a bridge for parents to meet own friends in the host country. Moreover, having own friends and own family around matters for contact frequency with the local networks.     

ROC Curves in Non‐Parametric Location‐Scale Regression Models

Abstract. The receiver operating characteristic (ROC) curve is a tool of extensive use to analyse the discrimination capability of a diagnostic variable in medical studies. In certain situations, the presence of a covariate related to the diagnostic variable can increase the discriminating power of the ROC curve. In this article, we model the effect of the covariate over the diagnostic variable by means of non‐parametric location‐scale regression models. We propose a new non‐parametric estimator of the conditional ROC curve and study its asymptotic properties. We also present some simulations and an illustration to a data set concerning diagnosis of diabetes.     

Goodness-of-Fit Tests for Multiplicative Models with Dependent Data

Abstract.  Several classical time series models can be written as a regression model between the components of a strictly stationary bivariate process. Some of those models, such as the ARCH models, share the property of proportionality of the regression function and the scale function, which is an interesting feature in econometric and financial models. In this article, we present a procedure to test for this feature in a non-parametric context. The test is based on the difference between two non-parametric estimators of the distribution of the regression error. Asymptotic results are proved and some simulations are shown in the paper in order to illustrate the finite sample properties of the procedure.     

New developments in generative BOM processing systems

Abstract

The principle of generative bill-of-material (BOM) processing systems is that different BOMs belonging to different product variants can be represented by a single, so-called source BOM. The BOM processing systems comprise additional data structures which hold information on the relationships between product characteristics of parent product variants and component product variants, and on the relationships between characteristics of a parent product variant and its BOM data. These relationships allow the automatic generation of the individual BOM of each represented product variant. There are several alternative ways of implementing a generative BOM processing system. The oldest concept known is the variant BOM concept. This concept provides a relatively simple solution to deal with large varieties of final product variants. However the concept has a number of drawbacks such as the representation of product variety at lower levels in the product structure and data redundancy which hampers data maintenance. In this paper an improved concept for generative BOM processing systems is introduced and described: the generic BOM concept. The generic BOM concept does not focus on representing final product variants only, but takes a broader view towards representing any range of product variants at any level in the product structure. This starting point solves a number of draw-backs implied by the variant BOM concept but it also requires new definitions of BOM relationships and the introduction of new data structures to support the generation of individual BOMs.     

Non-parametric Regression with Dependent Censored Data

Abstract.  Let ( X _i , Y _i ) ( i = 1 ,…, n ) be n replications of a random vector ( X , Y  ), where Y is supposed to be subject to random right censoring. The data ( X _i , Y _i ) are assumed to come from a stationary α -mixing process. We consider the problem of estimating the function m ( x ) = E ( φ ( Y ) |  X = x ), for some known transformation φ . This problem is approached in the following way: first, we introduce a transformed variable     , that is not subject to censoring and satisfies the relation     , and then we estimate m ( x ) by applying local linear regression techniques. As a by-product, we obtain a general result on the uniform rate of convergence of kernel type estimators of functionals of an unknown distribution function, under strong mixing assumptions.     

Taking (and Sharing Power): How Boards of Directors Can Bring About Greater Fairness for Dependent Stakeholders

One of the ways in which scholars have sought to broaden the discussion of the social responsibilities of corporations and their managers is through the development of the stakeholder concept. The primacy of shareholder interests in corporate‐governance processes and managerial action is, however, a myth that justifies all sorts of managerial self‐interest seeking and exploitation of particular stakeholder groups. What makes this myth particularly problematic—from the standpoint of fairness and corporate governance—is that not all nonshareholder stakeholders are equally situated with regard to their ability to secure fair treatment. In this article, I explore the ethical dimensions of board responsibilities to dependent stakeholder groups by first describing the differences between shareholders and nonshareholder stakeholders with regard to risk, examining why dependent stakeholders (stakeholders with legitimate and urgent claims, but no power) are particularly important from the standpoint of stakeholder risk, and discussing how stakeholder consultation might provide a partial fix to such problems. I will conclude with proposals for how boards can more faithfully discharge their ethical responsibilities to dependent stakeholder groups, and in so doing facilitate stakeholder involvement in corporate governance in ways that promote fairness in organization–stakeholder relationships.