Assessing Quality in Higher Education: Some Caveats

The technology of cognitive and non-cognitive skills formation is characterized by the cumulative nature of learning processes and by the presence of significant complementarities and irreversibilities in the acquisition of such skills. From this it follows that, in order to evaluate the quality of individual phases of skills formation, it is necessary to take account of the quality of the human capital entering the training process. It is evident that this aspect is more important, the more advanced the level of education. This paper evaluates the effects of the quality of Italian matriculants at 24 engineering faculties measured with the results of a standardized test on the regularity of university studies. The preliminary results confirm that failing to take account of the incoming quality of students may give rise to significant distortions in the evaluation of the academic productivity of universities. Meritocratic criteria in the allocation of public funds among schools and universities which do not take account of these considerations, in the absence of effective means to support the right to study (especially in the form of grants) would exacerbate the polarization of the educational systems and penalize the less mobile and more talented students. The same outcome can be generated by a misuse of university rankings based on unadjusted performance measures.     

Agroenvironmental policies in Slovenia: a multivariate and multicriteria approach

This study was conducted when Slovenia was still harmonising its environmental legislation with the acquis communautaire; a process that today has been fully completed. Moreover, Slovenian state intervention in favour of rural development aims to stimulate both the conservation of natural resources and the growth of the primary sector. In this paper we suggest that these issues could be addressed through the application of multivariate statistics and multicriteria decision methods. By using these methods it would be possible to achieve a better understanding of the importance of territorial structure and socioeconomic characteristics. Our aim is to identify institutional agricultural measures that are able to protect the environment.     

Nonlinear models for ground-level ozone forecasting

One of the main concerns in air pollution is excessive tropospheric ozone concentration. The aim of this work is to develop statistical models giving shortterm forecasts of future ground-level ozone concentrations. Since there are few physical insights about the dynamic relationship between ozone, precursor emissions and/or meteorological factors, a nonparametric and nonlinear approach seems promising in order to specify the forecast models. First, we apply four nonparametric procedures to forecast daily maximum 1-hour and maximum 8-hour averages of ozone concentrations in an urban area. Then, in order to improve the forecast performances, we combine the time series of the forecasts. This idea seems to give encouraging results. This work was supported by a MURST grant. The authors would like to thank two anonymous referees for their helpful comments.     

The Collaborations-Relations Between Western (Secular) Law and Religious<Emphasis Type="Italic"> Nomoi</Emphasis> Groups in Today’s Multicultural Context: The Cases of France and Canada

In the last decade, under the pressing processes of immigration and globalisation, many Western constitutional democracies have moved from a number of religions sharing a common culture to today’s age of diversity. What current democracies are facing is the lack of overlapping consensus over basic constitutional “values”. The nature, scope and force of such values are likely to be affected by competing and, sometimes, contested fundamental reasons and worldviews. From here stems the dilemma between “unity” and “diversity”. This essay starts with a broad consideration on the principle of religious freedom, strictly related to the separation as well as collaboration between secular States and Churches; then the author analyses two case-studies (France and Canada), pointing out some specific legal approaches. In particular he focuses the analyses over the French “droit commun” and the Canadian arbitral tribunals that, especially in family law, allow disputes to be arbitrated using religious jurisdictions.     

The power of (extended) monitoring in robust clustering

We complement the work of Cerioli, Riani, Atkinson and Corbellini by discussing monitoring in the context of robust clustering. This implies extending the approach to clustering, and possibly monitoring more than one parameter simultaneously. The cases of trimming and snipping are discussed separately, and special attention is given to recently proposed methods like double clustering, reweighting in robust clustering, and fuzzy regression clustering.     

A model of goal dynamics in technology-based organizations

The purpose of the present work is to build a suitable system dynamics model for goal dynamics in organizations, as proposed by Barlas and Yasarcan (2008). The proposed model does not bear any ambition of being exhaustive: the main objective of this paper is to propose a model of goal dynamics in which Goal Setting, Management by Objectives and Training are viewed as human resource practices able to enhance workers’ goal commitment, and therefore, improve organizational performance. In the first part of this paper, an analysis of the Goal Setting Theory and the role of goal setting practices, in bettering worker's performance, are stressed. In the second part, a case-study, the causal loop and a quantitative model of goal dynamics in organizations are described. In the third part, behaviour reproduction testing, optimization analysis for parameter estimation and scenario analysis are presented. Limitations of the present research and conclusions are finally discussed.     

Using Entropic Tilting to Combine BVAR Forecasts With External Nowcasts

This article shows entropic tilting to be a flexible and powerful tool for combining medium-term forecasts from BVARs with short-term forecasts from other sources (nowcasts from either surveys or other models). Tilting systematically improves the accuracy of both point and density forecasts, and tilting the BVAR forecasts based on nowcast means and variances yields slightly greater gains in density accuracy than does just tilting based on the nowcast means. Hence, entropic tilting can offer—more so for persistent variables than not-persistent variables—some benefits for accurately estimating the uncertainty of multi-step forecasts that incorporate nowcast information.     

The Interrelations Between Cohabitation,Marriage and First Birth in Germany and Sweden

We study the interrelationships between union-formation forms and fertility in Swedish and West German female cohorts born in 1949–1971. We apply simultaneous hazard models, permitting the presence of correlated unobserved heterogeneity. This method allows us to control for country-specific composition of the population with respect to several socio-economic variables, as well as with respect to unobserved factors jointly affecting childbearing and union formation behavior. Our results confirm that partnership formation and the transition to parenthood are partially interchangeable. Net of those selection effects, we find that the impact of being in a union on first birth is higher in Sweden than in Germany, in particular for cohabitation.     

Critical decisions and constitutional rules

Many constitutions specify procedures that allow critical decisions to be made with a different rule than routine decisions. We propose a theory of constitutional rules that explains why. The theory is based on the assumption that the type of a decision can be observed, but not verified. We characterize two classes of second-best constitutions, both with clear analogues in real world constitutions: (i) incentive scheme (IS) constitutions that elicit information about the type of a decision through a costly switching procedure and (ii) veto (VT) constitutions that grant limited veto powers to interested parties.     

When Gray is Good: Gray Markets and Market‐Creating Investments

Gray markets arise when an intermediary buys a product in a lower‐priced, often emerging market and resells it to compete with the product's original manufacturer in a higher priced, more developed market. Evidence suggests that gray markets make the original manufacturer worse off globally by eroding profit margins in developed markets. Thus, it is interesting that many firms do not implement control systems to curb gray market activity. Our analysis suggests that one possible explanation lies at the intersection of two economic phenomena: firms investing to build emerging market demand, and investments conferring positive externalities (spillovers) on a rival's demand. We find that gray markets amplify the incentives to invest in emerging markets, because investments increase both emerging market consumption and the gray market's cost base. Moreover, when market‐creating investments confer positive spillovers, each firm builds its own market more efficiently. Thus, firms can be better off with gray markets when investments confer spillovers, provided the spillover effect is sufficiently large. These results provide a perspective on why firms might not implement control systems to prevent gray market distribution in sectors where investment spillovers are common (e.g., the technology sector) and, more broadly, why gray markets persist in the economy.