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).     

How farmers benefit from plant clinics: an impact study in Bolivia

Between 2000 and 2009, nine plant clinics in three agro-ecological areas of Bolivia (Andes, lowlands and valleys) served about 800 communities in an area roughly 300 × 100km. Over 6000 farmers consulted these clinics with 9000 queries. Many found the advice so useful that they visited the clinics repeatedly. A survey of 238 clinic users found that most adopted the clinics' recommendations. Fruit and vegetable growers who followed the clinic recommendations tended to spend less on pesticides. As for certain crops like potato, citrus and peach palm, a modest increase in pesticides helped improve the quality and quantity of the harvest. Farmers improved their incomes by following the clinics' advice. The poorest farmers enjoyed the greatest increase in income per hectare. This was the first study to explore the impact of plant clinics; future studies need to be improved, for example by obtaining baseline data and by comparing clinic users to their peers who have not used clinics.     

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.