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.     

A Dynamic Model for Binary Panel Data With Unobserved Heterogeneity Admitting a √n‐Consistent Conditional Estimator

A model for binary panel data is introduced which allows for state dependence and unobserved heterogeneity beyond the effect of available covariates. The model is of quadratic exponential type and its structure closely resembles that of the dynamic logit model. However, it has the advantage of being easily estimable via conditional likelihood with at least two observations (further to an initial observation) and even in the presence of time dummies among the regressors.     

Summer temperature effects on deaths and hospital admissions among the elderly population in two Italian cities

In developed countries the effects of climate on health status are mainly due to temperature. Our analysis is aimed to deepen statistically the relationship between summer climate conditions and daily frequency of health episodes: deaths or hospital admissions. We expect to find a U-shaped relationship between temperature and frequencies of events occurring in summer regarding the elderly population resident in Milano and Brescia. We use as covariates hourly records of temperature recorded at observation sites located in Milano and Brescia. The analysis is performed using Generalized Additive Models (GAM), where the response variable is the daily number of events, which varies as a possibly non-linear function of meteorological variables measured on the same or previous day. We consider separate models for Milano and Brescia and then we compare temperature effects among the two towns and among different age classes. Moreover we consider separate models for all diagnosed events, for those due to respiratory disease and those due to circulatory pathologies. Model selection is a central problem, the basic methods used are the UBRE and GCV criteria but, instead of conditioning all final conclusions on the best model according to the chosen criterion, we investigated the effect of model selection by implementing a bootstrap procedure.     

Tree-structured generalized autoregressive conditional heteroscedastic models

We propose a new generalized autoregressive conditional heteroscedastic (GARCH) model with tree-structured multiple thresholds for the estimation of volatility in financial time series. The approach relies on the idea of a binary tree where every terminal node parameterizes a (local) GARCH model for a partition cell of the predictor space. The fitting of such trees is constructed within the likelihood framework for non-Gaussian observations: it is very different from the well-known regression tree procedure which is based on residual sums of squares. Our strategy includes the classical GARCH model as a special case and allows us to increase model complexity in a systematic and flexible way. We derive a consistency result and conclude from simulation and real data analysis that the new method has better predictive potential than other approaches.     

Discussion of paper 'explanations of the fertility crisis in modern societies: a search for commonalities', Population Studies 57(3): 241-263, by John Caldwell and Thomas Schindlmayr

The contributors to this discussion were invited to submit comments, each from a different standpoint, on the paper by John Caldwell and Thomas Schindlmayr that appeared in the preceding issue of the journal. The invitation was issued with the approval of these authors, and the journal is grateful to them for allowing their paper to be used to generate debate on the issues they had raised. The discussion is followed by the authors' response to it.     

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.