Networked research: European policy intervention in ICTs

We use social network analysis to evaluate ‘behavioural’ additionality aspects of public programmes supporting research and development (R&D). The paper appraises empirically the partnership and knowledge networks created around the R&D activities of the Information Society Priority of the Sixth Research Framework Programme of the European Community. These emergent, scale-free networks are found to play an important role in generating and, especially, in diffusing knowledge by attracting key industry actors and by strengthening overall network connectivity through public support. Public policy should try to facilitate the development of more European organisations that can be characterised as global network hubs, on the one hand, and to draw larger numbers of the most dynamic small and medium-sized enterprises (SMEs) into these programmes, on the other, to avoid technological lock-ins and mitigate the resistance or network reorientation toward more productive research areas.     

Estimating Engel curves under unit and item nonresponse

This paper estimates food Engel curves using data from the first wave of the Survey on Health, Aging and Retirement in Europe (SHARE). Our statistical model simultaneously takes into account selectivity due to unit and item nonresponse, endogeneity problems, and issues related to flexible specification of the relationship of interest. We estimate both parametric and semiparametric specifications of the model. The parametric specification assumes that the unobservables in the model follow a multivariate Gaussian distribution, while the semiparametric specification avoids distributional assumptions about the unobservables. Copyright © 2011 John Wiley & Sons, Ltd.     

Quality as an autonomous body of knowledge. An in-depth survey on Italian higher education

The need of people skilled on quality topics is strongly increased in Italy, in the last 10 years, and new professional figures that are specialized in quality have been recently recognized by the Italian official classification of occupations. However, there seems to be a lack of empirical studies that analyse education about quality supplied by Italian universities and business schools. This paper shows the results of an exploratory survey on the education in quality offered by Italian universities. The research was conducted on a reasoned sample of Italian universities, selected on the basis of the number of students enrolled and the number of supplied degree courses, in the academic year 2005/2006. Thanks to the findings of the survey it is possible to know what (what subjects related to quality concepts and tools are taught), where (within which degree programs they are taught), and when (at which degree level they are taught) Italian higher education is devoted to quality.     

Comparison of Classical and Bayesian Approaches for Intervention Analysis

Intervention analysis has been recently the subject of several studies, mainly because real time series present a wide variety of phenomena that are caused by external and/or unexpected events. In this work, transfer functions are used to model different forms of intervention to the mean level of a time series. This is performed in the framework of state-space models. Two canonical forms of intervention are considered: pulse and step functions. Static and dynamic explanation of the intervention effects, normal and non-normal time series, detection of intervention, and study of the effect of outliers are also discussed. The performance of the two approaches is compared in terms of point and interval estimation through Monte Carlo simulation. The methodology was applied to real time series and showed satisfactory results for the intervention models used.     

Is bank default risk systematic?

We evaluate the impact of commonly used indicators of bank distress on broad (i.e. sector and country) risks. This issue deserves special attention in the banking industry where there is a strong degree of interconnectedness among institutions and the default of a single bank may cause a cascading failure, which could potentially bankrupt the entire system. Using several measures of individual bank risk our results show that these measures have a direct impact on European banking (i.e. systemic) stock market risk. We also provide strong evidence suggesting that, for listed banks, default risk tends to be systematic (i.e. non-diversifiable).     

Peer choice in CEO compensation

Current research shows that firms are more likely to benchmark against peers that pay their Chief Executive Officers (CEOs) higher compensation, reflecting self serving behavior. We propose an alternative explanation: the choice of highly paid peers represents a reward for unobserved CEO talent. We test this hypothesis by decomposing the effect of peer selection into talent and self serving components. Consistent with our prediction, we find that the association between a firm's selection of highly paid peers and CEO pay mostly represents compensation for CEO talent.     

Heterogeneity in health responses and anchoring vignettes

In this article we employ the tool of anchoring vignettes to analyze gender differences in self-assessments of health in Europe. We propose and estimate an extension of the basic vignette model for correcting the lack of interpersonal comparability of self-assessments on a categorical scale. Our extension allows for potential correlation in the self-assessments of health on different domains by including an unobservable individual effect, common to all domains but different across individuals, in both the thresholds and the equations for the latent health problems. After applying this model to the SHARE data, we find that vignettes help narrow gender differences in self-assessments of health, although these differences are not entirely eliminated.     

Efficiency and risk in European banking

We assess the inter-temporal relationship between bank efficiency, capital and risk in a sample of European commercial banks employing several definitions of efficiency, risk and capital and using the Granger-causality methodology in a panel data framework. Our results suggest that lower bank efficiency with respect to costs and revenues Granger-causes higher bank risk and that increases in bank capital precede cost efficiency improvements. We also find that more efficient banks eventually become better capitalized and that higher capital levels tend to have a positive effect on efficiency levels. These results are generally confirmed by a series of robustness tests. The results have potentially important implications for bank prudential supervision and underline the importance of attaining long-term efficiency gains to support financial stability objectives.     

On rankings and top choices in random utility models with dependent utilities

Different aggregate preference orders based on rankings and top choices have been defined in the literature to describe preferences among items in a fixed set of alternatives. A useful tool in this framework is constituted by random utility models, where the utility of each alternative, or object, is represented by a random variable, indexed by the object, which, for example, can capture the variability of preferences over a population. Applications are derived in diverse research fields, including computer science, management science and reliability. Recently, some stochastic ordering conditions have been provided for comparing alternatives by means of some aggregate preference orders in the case of independent random utility variables by Joe (Math Soc Sci 43:391–404, 2002). In this paper we provide new conditions, based on some joint stochastic orderings, for aggregate preference orders among the alternatives in the case of dependent random utilities. We also provide some examples of application in different research fields.